Find Your Dream Career

Socomec Group (Socomec) is a global leader in electrical equipment engineering and manufacturing, specialized in low voltage energy performance. Socomec North America (NAM) is Socomec?s organization overseeing all operations in North America. We are seeking a Mechanical Engineer within the Engineering/Product Development Team is focused on electromechanical design and packaging for the company?s product lines (Power Conversion, Energy Storage, Power System Monitoring, etc.), research & development, process and product optimization-improvement among others. This position provides individual contributor within Mechanical Engineering. Responsible to observe and implement technical governance, design standards, engineering methodology, technical reviews, use of technology and engineering procedures. Key Responsibilities And Accountabilities Design of metal cabinetry and mechanical systems integration using SolidWorks 3-D modeling. Electro-mechanical design and packaging of electro-magnetic components incorporating a number of associated power assemblies work as a system using SolidWorks 3-D modelling. Sourcing and parametric modeling of electro-mechanical/magnetic library components. Prepare detailed manufacturing data packages including 2D and MBD drawings, including the complete product configurations with detailed BOM structures in ERP system. Support of factory floor activities in troubleshooting, assembly and retrofit, including Support of general manufacturing activities as may be required or designated. Documentation of all manufacturing package according to the established company procedures, standard of works, practices and product line. Other activities that relate to product development and order fulfilment, including mechanical design to assigned target requirements, DFM and DFA considering cost and throughput. Prepare technical or cost reports to propose or assess decisions or planning of related projects and activities. Essential Qualifications, Experience, And Skills Bachelor's degree in Mechanical / Electro-Mechanical Engineering. 3-5 years of experience in Mechanical Engineering / Manufacturing, both technical and hands-on Demonstrated experience and knowledge in electrical enclosure packaging for electrical power components in indoor and outdoor environments. Ability to learn new skill sets with respect to supporting existing and future Socomec products. Thrives in a fast-paced innovative environment where several interdependent technologies and products are being developed simultaneously. Adaptable to rapid changes in priority planning keeping visible accountability. Demonstrates initiative and a passion for achieving results. Strong analytic problem-solving capabilities. Resourceful, innovative, and energetic. Strong collaboration and teamwork skills. Must be legally authorized to work in Canada without company sponsorship. Proficient in SolidWorks (preferred) CAD systems, with strong emphasis on Sheetmetal, Drawings, PDM and large assembly modules. Preferred knowledge and hands on practical experience in Configure to order products and BOM management, Static Stress FEA and SolidWorks DriveWorks automation tool or similar. Able to prepare professional documentation of manufacturing package, drawings, etc. Strong organizational skills, Capable to execute projects with proper tracking, visibility and ownership, driving them proactively to closure from end to finish. Strong verbal and written communication skills. Additional Requirements This role is located in an office and remote environment (at management?s discretion), with regular visits to the manufacturing, test bay and assembly environment. Must be available for possible business travel to locations in Canada, USA and Europe. Must possess and maintain a valid passport for international travel. Commitment to Health and Safety best practice and regulations. Adherence to company policies. Team Si

Department: Data Location: Remote Description Grasshopper Bank is a client-first , digital bank built for the business and innovation economy, with an obsession for providing leading-edge technology, solutions-driven products and superior service through a combination of passionate people and digital resources. We are a highly experienced team who pride ourselves on diversity of thought and perspective . Nationally chartered, our portfolio of products and services range from VC, PE & Portfolio Companies to SBA Lending, as well as direct SMB and Embedded Banking. Our entrepreneurial drive allows us to support the growth and success of a wide range of clients at every stage of their business through inclusive partnership . We seek out team members who will enable both our organization and our people to grow and thrive through collaboration and acting with integrity and respect. Our focus on cross-functional teamwork provides a culture where ideas are valued, accountability is encouraged , and successes are celebrated . We welcome all those searching for the opportunity to contribute to banking innovation that influences and supports the emerging digital world of Financial Services. Our digital first approach enables our teams the flexibility to work remotely. We have offices in NYC and Boston. What You'll Do As a Customer Analytics Engineer , you will operate at the intersection of modern data engineering, customer behavior analytics, and growth enablement. Reporting to the Director of BI & Analytics, you will serve as the technical engine and strategic architect behind our bank-wide Customer 360 and customer lifecycle analytics initiatives. In this high-impact role, you will move beyond standard descriptive reporting to build the foundational data models, pipelines, and semantic layers that explain who our clients are, how they interact with our digital banking platforms, and what drives long-term customer lifetime value (LTV). You will be responsible for modeling complex customer event streams, digital touchpoints, and transaction histories into analytics-ready models in Google BigQuery, powering executive Tableau reporting and directly activating customer data downstream into marketing and engagement engines (such as Braze). If you love writing clean, performant SQL/Python transformation logic, unraveling complex customer journeys, and partnering with Product and Marketing leaders to unlock top-line revenue, this role is for you. Customer 360 & C-MDM Modeling: Design, build, and optimize scalable dimensional models (Kimball methodology) and One Big Table (OBT) datasets in Google BigQuery that unify core banking records, digital session logs, and touchpoints into a trusted, bank-wide customer master (C-MDM) and single source of truth. Identity Resolution, Governance & Attribution: Establish robust customer identity mapping and multi-touch marketing attribution models across diverse platforms, while championing master data management (C-MDM) principles, data quality, and governance across all customer data pipelines. Semantic Layer & Master Data Development: Formalize bank-wide customer entities, core segmentations, and Critical Data Elements (CDEs)—such as Active User definitions (DAU/MAU), primary operating account status, feature adoption, and dormancy thresholds—to align business and technical definitions under a unified C-MDM framework. Scalable ELT Pipelines: Design, deploy, and maintain resilient ELT/ETL pipelines (using SQL, Python, and orchestration tools) to ingest, clean, and enrich raw customer interaction data, API payloads, and core snapshot tables. Downstream Marketing & Activation Sync: Engineer reliable pipelines and reverse-ETL workflows that sync enriched customer traits, behavioral events, and engagement tiers directly into marketing automation platforms (e.g., Braze) and CRM systems to power automated lifecycle campaigns. Data Quality & Observability: Implement automated testing, anomaly detection, and schema validation across customer data pipelines to guarantee platform accuracy, uptime, and alerting. Customer Journey & Cohort Dashboards: Design and maintain intuitive, executive-ready Tableau dashboards focusing on customer acquisition funnels, retention curves, product penetration, churn indicators, and deposit velocity. Storytelling with Data: Translate complex, multi-layered data into clear, actionable narratives that answer the "so what?" for business line leaders and product managers. Performance Optimization: Continuously monitor and tune BigQuery queries and Tableau extracts to ensure rapid workbook performance and cost-efficient query processing. Strategic Growth Partner: Collaborate closely with Marketing, Product, and Business Line leaders to translate business hypotheses into quantitative frameworks and tracking requirements. Data Stewardship & Literacy: Champion data governance best practices, document customer data lineages and KPI definitions in the Data Steward Playbook, and coach end-users on self-service data discovery. What You Need Experience: 2–4+ years of hands-on experience in a hybrid data role such as Analytics Engineer, Customer Data Engineer, BI Developer, or Marketing Data Engineer. Prior experience in fintech, commercial banking, or digital banking platforms is preferred. Advanced SQL & BigQuery: Expert-level SQL skills, including advanced analytical window functions, complex CTEs, array/struct unnesting, and performance tuning within cloud data warehouses (Google BigQuery strongly preferred). Dimensional & Event Data Modeling: Strong experience with dimensional modeling, star schemas, and structuring behavioral/event-based data models (hands-on experience with dbt for modeling transformations and lineage is a strong plus). Python & Pipeline Engineering: Demonstrated experience using Python for data transformation, API integrations, and workflow automation. Experience scheduling and orchestrating DAGs using tools like Apache Airflow or Google Cloud Composer is preferred. Tableau Expertise: Deep proficiency in Tableau Desktop and Tableau Server/Cloud, including Level of Detail (LOD) expressions, parameters, and thoughtful dashboard UX/UI design principles. Customer Analytics Acumen: Strong conceptual understanding of customer lifecycle metrics: Customer Acquisition Cost (CAC), Lifetime Value (LTV), cohort retention, and churn. Familiarity with reverse-ETL workflows or customer data activation is a plus. Communication & Collaboration: Proven track record of presenting complex data insights to non-technical stakeholders and driving cross-functional alignment. Education: Bachelor's degree in Computer Science, Information Systems, Data Analytics, Mathematics, Engineering, or equivalent practical experience.

Who we are Splashtop helps organizations power and secure distributed work. For 20 years, we've delivered remote access, remote support, autonomous endpoint management, and endpoint security solutions trusted by IT teams and managed service providers (MSPs) worldwide. We're continuing to innovate with AI-powered tools that help IT teams work smarter and keep endpoints secure. More than 250,000 businesses rely on Splashtop, with over 25 million computers running on our platform. Recognized by leading industry analysts and highly rated by customers, we're committed to delivering secure, reliable solutions backed by ISO/IEC 27001 certification and SOC 2 compliance. Founded in 2006, Splashtop achieved unicorn status in 2021 with a valuation exceeding $1 billion. We're headquartered in Cupertino, California, with offices across Europe and Asia and approximately 350 Splashtoppers worldwide. We're proud of our founder-led, collaborative culture where Splashtoppers are valued, ideas are welcomed, and everyone can make a real impact. We work hard, support one another, and celebrate our successes together. As we continue to grow, we're looking for people who want to grow with us. What will you do in this role? We're looking for an experienced Analytics Engineer to join our data team and help scale the infrastructure that powers decision-making across the business. You'll sit at the intersection of data engineering and analytics, building reliable, well-tested data models that product, GTM, and finance teams depend on every day. This role is ideal for someone who has spent 3-5 years working in fast-moving SaaS environments and understands the unique data challenges that come with subscription businesses: usage metrics, churn and retention, ARR reporting, and product analytics at scale. The key responsibilities of this role will require you to do: Design, build, and maintain scalable data models and transformation pipelines using dbt and Snowflake to support reporting, analytics, and data science use cases. Partner with data engineers, analysts, and business stakeholders to translate raw event and operational data into trusted, well-documented datasets. Own the full lifecycle of data models: development, testing, documentation, deployment, and monitoring. Establish and enforce data modeling best practices, including naming conventions, testing standards, and style guides across the dbt project. Build and maintain core SaaS metrics (ARR, churn, expansion/contraction, cohort retention, product usage) as reusable, auditable data models. Improve data quality and observability through automated testing, alerting, and documentation. Optimize Snowflake performance and cost through efficient warehouse usage, query design, and data modeling patterns. Collaborate with BI teams and self-serve analytics users to ensure models are intuitive, performant, and aligned with business logic. Participate in architectural decisions around the modern data stack (ingestion, orchestration, transformation, and BI layers). Build and maintain a semantic layer to centralize all business metrics. To be a good fit for this role, you have: 3-5 years of experience in analytics engineering, data engineering, or a similar data-focused role, with significant time spent in a SaaS or subscription-based business. Hands-on, production experience with dbt for data transformation and modeling — this is a must-have, not a nice-to-have. Strong SQL skills, with the ability to write complex, efficient, and maintainable queries. Solid understanding of dimensional modeling, ELT/ETL design patterns, and data warehousing concepts. Experience working with SaaS metrics and business models (ARR, churn, retention, cohort analysis, usage-based billing, etc.). Familiarity with version control (Git) and CI/CD practices as applied to data pipelines. Excellent communication skills and the ability to work cross-functionally with both technical and non-technical stakeholders. Extremely detail-oriented, able to look at each row of a model to ensure data quality and accuracy. Nice to Have: Experience with BI tools such as Looker, Tableau, Mode, or Sigma. Familiarity with event tracking and CDP tools. Experience with Python for data processing, automation, or testing. Background in a high-growth or scaling SaaS company. Experience with data orchestration, data governance, cataloging, or lineage tools. Ability to think architecturally to produce efficient models and pipelines. Experience with dbt CLI and setting up MCP servers. Familiarity with advanced Git features and usage (GitHub actions, etc.) What we Offer: A dynamic and supportive work environment. A competitive salary and performance-based incentives. Salary range $110K - $120K. Incredible and continuous learning experience for professional growth and development. Fast-paced environment where we celebrate successes and have a lot of fun while working. An amazing crew of other hard working and passionate people from all over the globe. Splashtop is a proud equal opportunity employer, dedicated to creating an inclusive workplace that celebrates diversity. We value the unique skills and experiences brought by individuals from all backgrounds and identities, including but not limited to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, socioeconomic background, or individuals reentering the workforce. We especially encourage applications from underrepresented groups such as women, racial and ethnic minorities, LGBTQ+ individuals, people with disabilities, and veterans. At Splashtop, we believe diversity drives innovation, and we are committed to fostering an environment where everyone feels welcomed, respected, and valued .

An exciting career awaits you At MPC, we're committed to being a great place to work – one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment. Position Summary Do you have a quantitative background? Do you like to solve business problems through data? Marathon Petroleum Company LP (MPC) has an opening in our Commercial organization for a data expert. The Central Commercial Management Data & Insights team's mission is to provide exceptional, cutting-edge analytics and meaningful insights to empower our Commercial organization to thrive and achieve unparalleled success. We do that by enhancing the trust and confidence in the data and analytics within Commercial, reducing barriers to timely, actionable insights. This role will work closely with Quantitative Analytics teams; the ideal candidate will have a passion to gain experience in that area. This position belongs to a family of jobs with increasing responsibility, competency, and skill level. Actual position title and pay grade will be based on the selected candidate's experience and qualifications. Key Responsibilities Collaborates with business partners to deliver sustainable solutions for analytics and process improvements Understands business processes and related data sources, models data for reuse across analyst groups Supports analytics data solutions; works with system support teams to correct and/or enhance data Acquires, cleans, and preprocesses raw data from various sources to ensure accuracy and reliability; maintain knowledge of key systems and query those systems for data Conducts in-depth analysis of large datasets to extract meaningful insights and trends Develops and implements analytical models to forecast future trends and outcomes Performs statistical analysis to identify patterns and correlations in the data Creates visually compelling and easy-to-understand dashboards and reports Communicates findings to stakeholders through charts, graphs, and presentations Ensures integrity and quality of data through regular audits and validation processes Works closely with cross-functional teams to understand data requirements and deliver insights Drives continuous improvement in business processes and data analytics best practices Establishes and supports data governance to ensure data is fit for optimum use by the organization Partners and leads initiatives to build sustainable data pipelines, automations, and advanced analytics solutions Education And Experience Bachelor's Degree required, with a preference in Business, Engineering, Computer Science, Information Systems, Mathematics or related. Senior Data Analyst – Grade 11 Four (4) years experience required. Lead Data Analyst – Grade 12 Six (6) years experience required. Preferred: Strong communication and time management skills. Strong passion for answering difficult questions with data. Experience solving analytical problems using quantitative approaches to generate positive business results. Experience with data analysis efforts: identifying data sources, querying data, performing exploratory data analysis/modeling, presenting historical insights/business justification, and affecting data-driven business changes. Experience with data transformation tools such as SQL, ADF, Synapse, Power Query, M, Databricks or others. Exposure to business intelligence self-service analytics software tools such as Power BI or Tableau. Exposure to quantitative, statistical, econometric, or machine learning models used to predict outcomes and evaluate alternatives. Experience with manipulating and analyzing complex, high-volume, high-dimensional data from varying sources and communicating complex quantitative analysis in a clear, precise, and actionable manner. Proven ability to think critically and solve problems, given incomplete information and/or ambiguous requirements. A flexible analytic approach that provides results at varying levels of precision. Skills Business Partnerships: Acting as a trusted advisor and building strong relationships with colleagues and the business to drive business performance. Communication: Speaking and writing effectively; demonstrating fundamental command of language; communicating well using all mediums. Critical Thinking: Identifying and understanding issues, problems and opportunities; using data analysis to draw conclusions; using judgment in choosing a course of action; intellectually curious. Data Analysis: Identifying, evaluating, interpreting and organizing data so that it can be used for business decisions; sorting through data to identify patterns and establish relationships. Data Operations: Managing, manipulating, and analyzing data throughout its lifecycle; deriving meaningful insights and supporting decision-making through the collection, storage, retrieval, transformation, and visualization of data. Data Reporting: Accessing information from databases, forms, and other sources, and preparing reports according to requirements. Adaptability: Maintaining effectiveness when experiencing major changes in work responsibilities or environment; adjusting effectively to change by exploring the benefits, trying new approaches, and collaborating with others to make the change successful. Digital Transformation: Adopting digital technology to transform services or businesses through replacing non-digital or manual processes with digital processes or replacing older digital technology with newer digital technology. Influencing Others: The ability to garner support for initiatives by gaining the respect of others and inspiring trust and confidence. Metrics Management: The process of monitoring performance indicators that demonstrate how effectively a unit/ business/ function/ company is achieving key objectives. Work Management: Take ownership of actions and behaviors. Effectively managing one's time and resources to ensure that work is completed efficiently. Time management is the process of planning and exercising conscious control of time spent on specific activities, especially to increase effectiveness, efficiency, and productivity. It involves a juggling act of various demands upon a person relating to work, social life, family, hobbies, personal interests, and commitments with the finiteness of time. Using time effectively gives the person "choice" on spending or managing activities at their own time and expediency. As an energy industry leader, our career opportunities fuel personal and professional growth. Location: Findlay, Ohio Additional locations: Job Requisition ID: 00025012 Location Address: 539 S Main St Education: Employee Group: Full time Employee Subgroup: Regular Marathon Petroleum Company LP is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without discrimination on the basis of race, color, religion, creed, sex, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sexual orientation, gender identity, gender expression, reproductive health decision-making, age, mental or physical disability, medical condition or AIDS/HIV status, ancestry, national origin, genetic information, military, veteran status, marital status, citizenship or any other status protected by applicable federal, state, or local laws. If you would like more information about your EEO rights as an applicant, click here. If you need a reasonable accommodation for any part of the application process at Marathon Petroleum LP, please contact our Human Resources Department at talentacquisition@marathonpetroleum.com. Please specify the reasonable accommodation you are requesting, along with the job posting number in which you may be interested. A Human Resources representative will review your request and contact you to discuss a reasonable accommodation. Marathon Petroleum offers a total rewards program which includes, but is not limited to, access to health, vision, and dental insurance, paid time off, 401k matching program, paid parental leave, and educational reimbursement. Detailed benefit information is available at https://mympcbenefits.com.The hired candidate will also be eligible for a discretionary company-sponsored annual bonus program. Equal Opportunity Employer: Veteran / Disability We will consider all qualified Applicants for employment, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws. In reviewing criminal history in connection with a conditional offer of employment, Marathon will consider the key responsibilities of the role.

Hiring Department Mizzou Online This recruitment is managed by the Office of Human Resources at the Columbia Campus. For application questions please contact OHR at 573-882-7976. Job Description The Solutions and Analytics Team within Mizzou Online delivers scalable, high-performing analytic dashboards, reports, and insights to stakeholders at MU. We are seeking an analyst to help discover actionable data from a variety of higher education sources. The ideal candidate will enjoy transforming data into easy-to-use reports and dashboards, and have a service-oriented mindset with a strong desire to help stakeholders uncover insights from learning-related datasets. Job Responsibilities Analyzes and validates data Analyzes and interprets data sets specific to higher education to uncover insights, patterns, trends, and associated success metrics. Ensures accuracy and validity of queries and the data being produced. Organizes and models data Organizes primary data and adds supporting data for use in data visualization, dashboard creation, reporting, and ad hoc requests. Organize and model data using SQL. Collaborates with stakeholders Coordinates and collaborates with stakeholders and other subject matter experts to develop and provide basic actionable information in support of improvement initiatives. Promotes the use of data to answer questions in support of unit goals. Builds reports and presentations Using the collected data and information gathered from meeting with stakeholders, creates routine reports, dashboards, and presentations that are easy to read and interpret. Uses data visualization tools to present results and information. Documentation and continuous improvement Maintains documentation for data management, analysis and reporting activities. Performs Other Job-related Duties As Assigned. Knowledge, Skills & Abilities Strong collaboration and time management skills Ability to communicate data concepts to stakeholders and audiences with varied levels of expertise Proven analytical and problem-solving skills with attention to detail and a passion for data accuracy Possesses an in-depth conceptual and practical knowledge in the data analysis function and begins to acquire knowledge in other related functions Shift 8AM-5PM CST Monday - Friday Minimum Qualifications Bachelor's degree or an equivalent combination of education and relevant experience and at least 2 years of experience from which comparable knowledge and skills can be acquired is necessary Preferred Qualifications Candidates will also be evaluated on the following preferred qualifications: Two or more years of experience with structured query language (SQL) in cleaning and transforming and modeling data. Advanced professional experience analyzing, validating, and modeling data for reporting purposes. Advanced professional experience in data analysis and reporting including the use of data visualization tools. Experience working in Higher Education and/or working with Higher Education datasets. Knowledge of data controls and applicable regulatory/legal requirements protecting confidential and/or sensitive data. Anticipated Hiring Range Salary Range: $70,000 - $77,000 annually Grade: GGS-11 University Title: Data Analyst I Internal applicants can determine their University title by accessing the Talent Profile tile in myHR. Application Materials Resume and Cover Letter - In your cover letter, please address the questions below, be specific, using examples from your own experience. What tools to you use to create a data model for a dataset, and what steps do you take to validate your data model? What kinds of higher education datasets are you looking foward to working with in this position and why? Sponsorship Information Employment visa sponsorship is not available for this position. Benefit Eligibility This position is eligible for University benefits. As part of your total compensation, the University offers a comprehensive benefits package, including medical, dental and vision plans, retirement, paid time off, short- and long-term disability, paid parental leave, paid caregiver leave, and educational fee discounts for all four UM System campuses. For additional information on University benefits, please visit the Faculty & Staff Benefits website at https://www.umsystem.edu/departments-staff/human-resources/benefits-retirement Equal Employment Opportunity The University of Missouri is an Equal Opportunity Employer. To request ADA accommodations, please call the Director of Accessibility and ADA at 573-884-7278.

About Nexon Nexon America is a branch of Nexon Co., Ltd., a global video game publisher and leading developer of online virtual worlds for PCs, consoles, and mobile devices. Nexon proudly offers celebrated franchises like MapleStory and Mabinogi that have been enjoyed by millions of players for over two decades. When we founded our Nexon America branch in 2006, we made it our goal to bring those unique games to western players using a player-first approach. We achieve that goal by applying our team's outstanding free-to-play expertise and live game support to every decision, every day. But we're committed to more than our games! Here at Nexon America, we're all about open communication, diversity, mutual respect, and collaboration, so we can bring out the best in each other. Nexies find support, friendship, and career growth all in one place! And because we know a healthy work-life balance is the key to happiness, Nexies also enjoy flexible hours, a hybrid work model, and extra perks like food trucks, happy hours, and team events. It's why we've earned the Great Place to Work certification for 6 years running! We're looking to expand our team with passionate individuals who want to learn, play, and grow with us. Ready for a new challenge? Summary Of Position Nexon America is looking for a Data Analyst to provide in-depth data mining and analyses to multiple departments, with a focus on understanding our players and identifying ways to improve the user experience within our games. In this role, you will empower our teams with actionable data derived from your own data exploration, experiments, and analyses. We are currently working in the office 2-3x a week in a hybrid work model. Job Responsibilities Design and develop data analyses to create unique business insights; perform detailed data exploration and validation to understand players' behavior and trends. Identify key analytic metrics; build interactive data visualizations and present key insights to inform business decisions and drive growth; examine and analyze available information to determine patterns and gaps at a strategic level and recommend a course of action to support internal and external users. Research and analyze web and game usage data and recommend solutions; analyze the user experience and business processes to identify opportunities for improvement. Work cross-functionally with internal stakeholders to translate business data needs into analysis specifications and validate requirements against strategic goals and project objectives. Develop innovative projects and hone cutting-edge skills in Data Cloud technologies, Data Science models, Data storytelling, and AI. Other duties as assigned Work Experience 3+ years of experience in data analytics, sales analysis, consulting, statistics, or a related field Experience with data extraction and manipulation tools and Data Mining tools Experience creating data visualization Online gaming experience preferred Education, Professional Training, Technical Training or Certification Master's Degree preferred or Bachelor's degree with equivalent experience Knowledge/Skills Excellent knowledge of statistical analysis Ability to extract data by writing your own SQL queries Experience using Tableau or similar BI tools Experience using Google Analytics preferred Programming for data analysis (R or Python) preferred Ability to translate complex data into stories for diverse stakeholders Strong interpersonal and communication skills Able to manage shifting priorities in a fast-paced environment Exceptional Excel and PowerPoint skills Excellent time and project management skills Management has the right to add or change duties and job requirements at any time. Nexon's Benefits And Perks We offer medical, dental and vision plans for you, your spouse or domestic partner and your children. Employees who enroll in the high deductible health plan receive an annual employer contribution to a health savings account and company paid hospital indemnity benefits. We also provide company paid life, AD&D, short-term and long-term disability benefits as well as access to voluntary life and AD&D for yourself and your dependents, flexible spending accounts, a 401(k) savings plan with a company match, and pet insurance. Nexies are encouraged to take advantage of our monthly wellness credit, participate in lunchtime yoga, and enroll in language classes. We host bi-monthly catered lunches, monthly happy hours, and maintain a well-stocked snack bar. To help you maintain a good work life balance, we offer paid time off, sick days, company holidays, and a year-end break. Nexon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law and will not be discriminated against on the basis of disability. Compensation Description For Pay Transparency (annually) The base salary range for this position in El Segundo, CA is $100,000 - $125,000 annually. Our salary ranges are determined by market data based on position and level. The range displayed on each job posting reflects the minimum and maximum salaries for that position. An individual's pay is determined by factors including, but not limited to, a candidate's qualifications, skills, experiences, relevant education or training, and location. Base pay is one part of the Total Rewards package that is provided to compensate and recognize employees for their work. This role may be eligible for additional discretionary bonuses/incentives, however the salary range listed in this job posting reflects the base salary only. Beware of Recruitment Scams We have been made aware of fraudulent recruitment activities by individuals falsely claiming to represent Nexon America. Our recruiters will only contact you from official company email addresses ending in @nexon.com and will follow a formal interview process. We will never request for payment or personal financial information such as photos of government-issued identification during the recruitment process or offer a job without a formal interview process. If you receive suspicious email, we advise you to mark the email as junk or spam, so your email provider will block future messages from the sender.

Data Analyst Location: Remote, New York City, or Oakland, CA Travel is encouraged approximately once per year to state partners within the continental USA, and occasionally required. We expect these trips to include visits to prisons and parole offices. Role Type: Full-time Compensation: $85,000 Visa sponsorship: Not available Hires remotely in: United States Experience: 6+ months of professional work experience, including internships or research Recidiviz is thrilled to be hiring a Data Analyst to join our team! We're a small, fast-moving group that works with complex criminal justice data from our state partners and develops analyses and tools that target the drivers of incarceration. That's where you come in. We're looking for someone early in their data career who brings attention to detail to our analyses, curiosity to dig into unfamiliar and messy data, clarity in explaining what they find, flexibility to adjust in a rapidly evolving environment, and above all else, a collaborative, kind nature to add to our culture. About us Recidiviz is creating safer, healthier communities by improving outcomes for people in the criminal justice system. We build technology to reduce the number of people in prison and to help criminal justice leaders embrace data-driven decision-making. Using software tools and thoughtful product design, we've been able to safely and permanently reduce incarceration and improve outcomes. We work side-by-side with leaders of the criminal justice system, people in prison and on supervision, and ecosystem partners to build a better path forward. In addition to the revenue we earn from state partners, some of the most respected philanthropists and foundations support our work. People who succeed at Recidiviz lead with kindness and humility, assume good intent, learn from failure, and fix problems when they see them. They are excited to work arm in arm with government leadership and staff to improve outcomes. They are great listeners. They build deep relationships with and empathy for the people we work with and the people who our mission serves, even when those two groups feel at odds. About the role This role works alongside experienced analysts and teammates across several teams on work that targets the drivers of incarceration. Our Data Analysts work with diverse data (criminal justice data both raw and processed from across the country, reports and policy documents from government agencies, and much more) to develop our understanding of the criminal justice system and to motivate change. In this role, you'll carry out well-defined analyses, build clear visualizations with our existing tools, and support product launches by preparing the data each product needs in each state. You'll share your findings with teams across Recidiviz and, alongside teammates, with our state partners. Core responsibilities Exploring our datasets to find patterns and insights about American criminal justice systems Carrying out well-scoped analyses with guidance from senior analysts and our State Engagement team Supporting product launches in the states where we work by following established launch processes, preparing the analytical data each launch needs, and flagging data discrepancies as they come up Building clear, well-documented visualizations and dashboards using our existing tools Communicating findings to internal teams, and presenting to state partners alongside teammates Analyzing trends in areas related to our own work to understand how our products function Wild success A year from now: You've contributed to real impact. Your analyses have supported product launches in the states you work with and have helped measure the impact those tools are having on the justice system. You've become a go-to analyst for your states. You know their data, policies, and products well, and you answer new questions with growing independence and the right tool for each job. Minimum qualifications Strong communication and collaboration skills, to help nurture a knowledgeable, data-oriented culture Enthusiasm for working with internal and external partners from diverse backgrounds and worldviews, such as government staff, researchers, journalists, technical staff, and practitioners in criminal justice reform Care and curiosity in inspecting source data and checking results closely, so the data and analyses you prepare can be trusted and reused 6 or more months of practical experience exploring, analyzing, and cleaning real-world datasets. Internships and research count, and part-time roles count when their hours add up to roughly 6 months of full-time work. Working proficiency in SQL, including joins, aggregations, and window functions Familiarity with Python, specifically the Pandas package, for data analysis and visualization Preferred qualifications Interest in criminal justice or public policy, or experience working with public-sector data Experience with a BI or dashboarding tool such as Looker or Tableau Familiarity with any part of our data stack, which includes Google Cloud Platform, BigQuery, Looker, Jupyter notebooks, and Python/Pandas Compensation Compensation is standardized based on roles and responsibilities. This ensures equitable compensation and responsible stewardship of our resources. As such, we do not negotiate compensation offers. The annual compensation for this role is: $85,000. What we offer Effective, extremely thoughtful colleagues, working together on a mission that matters 90% medical, dental, and vision insurance coverage for you and your dependents Flexible time off, including 20 days of PTO, 3 days of paid volunteering time, and 13 paid holidays 12 weeks of paid parental leave 401(k) retirement plan with 5% company match and no vesting period Complimentary One Medical membership (depending on location) Partnership with Carrot to provide employees with inclusive fertility and family-forming benefits, as well as a small but growing number of hormonal health and gender-affirming care benefits Monthly ClassPass credit for personal wellness Free mental health support via Talkspace Well-located offices in Oakland and Manhattan, with the flexibility to work remotely or go into either office as you choose An annual company offsite each spring and other ad-hoc gatherings All the exhilarating challenges and stretch opportunities of a tech startup, combined with the mission-driven heart of a nonprofit More about Recidiviz Recidiviz was an all-volunteer effort until early 2019, when Clementine, Andrew, and Joshua founded the organization. Since then, we've built an A-team of software engineers, designers, product managers and domain experts, from companies like Google, Apple, Dropbox, Opower, and Sidewalk Labs. Recidiviz was part of Y-Combinator's 2019 class and has received support from some of the most respected philanthropists and foundations, including Ford Foundation, Mackenzie Scott, Schmidt Futures, Arnold Ventures, Chan Zuckerberg Initiative, and the Mozilla Foundation. Today, Recidiviz works with (and earns revenue from) over 19 state partners – big and small, red and blue – and covers more than 45% of the US incarcerated population. We have helped to get tens of thousands of people out of the criminal justice system, safely and equitably, and saved states nearly $1 billion. In the next five years, Recidiviz plans to partner with 40 states and help 250,000 people who are stuck in the system to get out and stay out. In addition to partnering with state Departments of Corrections, Recidiviz collaborates with and learns from partners – from organizations like the Correctional Leaders Association (CLA) to community based organizations and justice-impacted individuals, whose perspectives guide our work. To learn more about how we do what we do, check out our 2024 Year in Review, read some press coverage, or watch our TED Talk. And if you're really keen to see our work, you can dive into our Github :). An important note Lasting change is always built on diversity. Recidiviz recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, sex, sexual orientation, disability, age, veteran status, ancestry, citizenship, marital status, gender identity and all protected status as required by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a special need that requires accommodation, please let us know in your application. Even if you don't think you meet all the criteria above, drop your resume, and we'll take a look – you might be great for another role or another time!

About Tiger Analytics Shape the Future of AI. Transform the World's Leading Businesses. Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact. We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India. At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it. What You Will Be Doing We are looking for a Senior Azure Data Engineer with strong expertise in Microsoft Azure data services, Python, Scala, and Apache Spark. The ideal candidate will design, develop, and maintain scalable data pipelines and ETL/ELT solutions to support enterprise data platforms. Key Responsibilities: Design, develop, and maintain scalable data pipelines using Azure data services, Python, Scala, and Apache Spark Develop and optimize ETL/ELT processes for data ingestion, transformation, and processing across diverse data sources Build and manage data pipelines using Azure Data Factory, Azure Databricks, and Azure Data Lake Storage Develop and optimize Spark applications to improve data processing performance, scalability, and reliability Work with Hadoop and related big data technologies where applicable Monitor pipeline execution, troubleshoot failures, and resolve data processing issues to ensure reliable data delivery Implement data validation, error handling, and data quality checks to ensure accuracy and consistency Collaborate with data architects, analysts, and cross-functional teams to understand requirements and deliver reliable data solutions Follow coding standards, testing practices, version control, and CI/CD procedures Support production deployments, incident resolution, performance tuning, and ongoing maintenance of data engineering solutions Requirements What we need Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a related field 10+ years of overall Data Engineering experience Strong hands-on experience with Microsoft Azure data services, particularly Azure Data Factory, Azure Databricks, and Azure Data Lake Storage Proficiency in Python and Scala for data processing and application development Strong experience with Apache Spark and distributed data processing Hands-on experience with Hadoop and big data technologies Strong understanding of ETL/ELT processes, data transformations, and data pipeline architecture Strong SQL skills and experience with performance tuning, debugging, troubleshooting, and production support Experience with Control-M for batch scheduling, job monitoring, workflow orchestration, and dependency management Familiarity with version control, CI/CD, and deployment practices Excellent analytical, problem-solving, and collaboration skills Benefits Why Join Tiger Analytics: Drive High-Impact Business Transformation: Lead strategic engagements that go beyond traditional analytics, delivering enterprise-wide AI adoption, cloud-native data modernization, and measurable business outcomes Build and Lead at Global Scale: Collaborate with exceptional AI, data, engineering, and consulting talent across geographies to deliver transformative solutions and grow strategic client partnerships Benefits: Medical, Dental, Vision, Retirement Accounts, Long and Short Term Disability, Life Insurance, HSA/FSA Accounts (USA) and Discretionary time-off Continuous Learning & AI Upskilling: Stay ahead of the rapidly evolving AI landscape through continuous learning, hands-on exposure to emerging technologies, and opportunities to build expertise in Generative AI, agentic AI, and next-generation data platforms. Grow alongside a team that invests in developing future-ready skills and encourages innovation Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: Samsara is seeking a Data Engineer to join our Data team, comprising both Data Scientists, Data Analysts, and Data Engineers. Our team is at the forefront of enhancing data analysis efficiency and effectiveness. Our data engineers develop and maintain data pipelines integral to our analytics data model. As a Data Engineer, your primary responsibility will be designing and maintaining data pipelines, primarily utilizing SparkSQL and Pyspark, within our central data lake. These pipelines are crucial for ingesting and transforming source data from our IOT devices and software products into our core data model, facilitating statistical analysis, model training, and dashboard creation. This is a remote position open to candidates residing in the US. Relocation assistance will not be provided for this role. You should apply if: You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact – helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely. You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go. You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we're all racing toward our connected operations vision, and we intend to win – together. In this role, you will: Build and maintain highly reliable computed tables, incorporating data from various sources, including unstructured data like video and audio, Samsara sensor & product data, and customer metadata. Access, manipulate, and integrate external datasets with internal data. Deliver high-quality data with strong uptime and reliability requirements, including customer-facing data sets. Collaborate closely with cross-functional teams such as Data Science & Analytics, AI/ML, and other Data Engineers to ensure high-quality data for diverse purposes from causal inference, model training, and dashboarding. Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices. Minimum requirements for the role: BA / MS degree in Computer Science, Statistics, or a related discipline. 4+ years experience in a data engineering-focused role. Demonstrated experience in designing data models at scale. Proficiency in building ETL pipelines to handle large volumes of data. Experience with Spark-based data platforms. Strong command of at least one data orchestration tool (e.g Airflow, Dagster, or Prefect). Expertise in SQL, Python, and working with REST APIs. Familiarity with software engineering fundamentals and reading backend development code. Experience with version control systems such as Git/GitHub. An ideal candidate also has: Familiarity with time series data and late-arriving data. Knowledge of Databricks, Delta Lakes, and Dagster. Previous experience working in a public cloud (e.g AWS, GCP, Azure). Exposure working on a data model for a product's first-party data. Exposure to complex data, including ML outputs and/or client-side signals. The compensation range shown spans approved pay zones for this role. Your primary work location determines the range applicable to you, which may be narrower than the full range displayed.The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below. Annual Base Salary: $99,365 USD - $167,000 USD Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you're ready to build for the long term and own the outcome, your journey starts here. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara's Candidate Privacy Notice for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.

We're building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary We're seeking a Sr. Data Engineer to design and implement data pipelines powering analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions. You will be part of a dedicated team creating datasets for analytic and data science workloads. You will also have a key role in modeling the Core Data Domain to best support various access patterns and use-cases. Key Responsibilities Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements. Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources. Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs Data Quality & Governance: Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access. Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Share best practices and mentor junior data engineers. Design and architect data infrastructure analytical workloads Understanding of data warehousing concepts, dimensional modeling, and building data marts. Required Qualifications 5+ years of applicable work experience Strong proficiency in SQL and experience in developing complex queries Experience in Python, specifically with ETL pipelines Strong proficiency in SQL and experience in developing complex queries Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP) Knowledge of data governance best practices in a cloud environment. Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners. Preferred Qualifications Experience with machine learning flows on GCP Experience working with healthcare data (Tuva or OMOP Models a plus) Education Bachelor's degree preferred/specialized training/relevant professional qualification. Anticipated Weekly Hours 40 Time Type Full time Pay Range The Typical Pay Range For This Role Is $83,430.00 - $222,480.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great Benefits For Great People We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments. We anticipate the application window for this opening will close on: 11/06/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Description AWS Global Network Delivery Services keeps the cloud running. We own the delivery and operation of all AWS global infrastructure — every data center, every server, every cable that gives hundreds of millions of customers uninterrupted access to the services they depend on. We tackle some of the hardest supply chain and infrastructure problems on the planet, with thousands of variables in play, and we're looking for exceptional people to help solve them. You'll join a diverse, cross-functional team — Product, BI, network engineers, planners, builders, and operations leaders worldwide — collaborating across AWS to deliver the highest standards of safety and security while providing seemingly infinite capacity at the lowest possible cost. You'll work in an inclusive culture that welcomes bold ideas and empowers you to own them to completion. We're seeking a talented Data Engineer who thrives with a startup mentality — someone who moves fast, thinks big, and partners directly with business and senior leaders to turn ambiguous problems into clear, data-backed recommendations. What makes this role exciting? You won't just move data from point A to point B — you'll build context through your pipelines. You'll own the context-driven source-of-truth tables that track the infrastructure delivery process across its full lifecycle — from intake through deployment to decommission — fueling analytics, LLMs, and business decisions. You'll manage the infrastructure behind those pipelines, keeping it lightweight, auditable, and highly available. And you'll partner closely with Data Engineering, Product, and Software teams to design pipelines that let business teams answer their own questions — without waiting in a queue. The ideal candidate is passionate about understanding the business and making an impact with data. You ask sharp questions, design thoughtful data models, and build relevant pipelines with low tech debt. You know great data engineering isn't about shipping pipeline after pipeline — it's about data quality, governance, and knowing your sources well enough to make the right trade-offs. You'll build well-documented, context-rich datasets and self-service tools (new or reused) that put data directly in the hands of the people who need it most — applying data mining, data modeling, and AI to evaluate business health and drive measurable improvement.. Key job responsibilities Know why you're building, not just what. Ask sharp questions first, understand your data and its significance, reuse before you rebuild, and set clear data contracts so data is always traceable to its source — and correct. Own the design, development, and operation of scalable, production-grade, context-driven data pipelines — including the infrastructure behind them — keeping them lightweight, cost-efficient, auditable, and highly available to power metrics, reporting, analytics, and ML/LLM use cases. Build context-rich "source of truth" datasets and reusable, dimensional data models that track the infrastructure delivery lifecycle (intake → deployment → decommission), serving as a trusted, intuitive-to-query foundation for downstream consumers while keeping tech debt in check. Design data models and ETL/ELT workflows to ingest, transform, and integrate data from diverse sources using AWS services (e.g., S3, Redshift, Glue, EMR, Athena, Lambda) and internal Amazon data platform tools. Define and champion data quality/ engineering and governance best practices — validation, monitoring/alerting, testing, design standards, documentation, and governance — to keep pipelines accurate, trustworthy, and well-maintained. Partner with Software, Product, and other Data Engineering teams to source and model the right business entities, so any team can answer their own questions without waiting in a queue. Troubleshoot operational and data-quality issues with root-cause analysis and durable fixes; audit existing pipelines, jobs, and queries, and recommend improvements to upstream sources for greater accuracy, simplicity, and scalability About The Team We are the PAX Data and Analytics team — a small, high-conviction group of BI Engineers and Data Engineers embedded in one of the world's largest and fastest-growing data center organizations. We were established less than a year ago with a clear mandate: turn operational complexity into decision-ready clarity. We don't build data pipelines and dashboards . We build context — the kind that lets leaders act with confidence and operators spot problems before they become incidents. Our work spans the full data lifecycle: sourcing and integrating raw operational signals, engineering relevant and reliable pipelines, and surfacing insights through self-service tools that hundreds of people rely on daily. Every pipeline we ship, every standard we define, and every contract we establish becomes the foundation for what comes next We are young, we are scrappy, and we are building something that will outlast us. If you want to lay foundations that an entire organization will stand on — you're in the right place. Basic Qualifications 4+ years of data engineering experience Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field Experience with data modeling, warehousing and building ETL pipelines Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Experience with SQL Experience working on and delivering end to end projects independently Preferred Qualifications Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually Company Amazon.com Services LLC Job ID: A10580357

Description Do you love turning messy, large-scale data into pipelines people can trust? If you want to solve hard data warehousing problems, partner directly with stakeholders, and see your work impact millions of customers in weeks — not years — we'd like to talk to you. At Amazon, we hire the best minds in technology to innovate on behalf of our customers. Customer obsession is part of our DNA — it's why we're one of the world's most beloved brands. As a Data Engineer, you'll use the latest technology to solve complex problems and see the impact of your work first-hand. As a Data Engineer in WWSNA, you'll work in one of the world's largest and most complex data warehouse environments, building the infrastructure that powers Amazon's Inbound & Outbound Transportation business. You'll design and operate scalable data models and pipelines — integrating diverse data sources and curating datasets that fuel reporting, analytics, ML models, and ad-hoc requests. This role is highly collaborative: you'll partner with business owners, product teams, and tech leaders to gather requirements and build the data solutions that meet real business needs. Strong business and communication skills matter as much here as technical depth. Key job responsibilities Design, build, and maintain complex data solutions and ETL pipelines using Python, Spark, SQL, and AWS services (S3, Glue, Redshift, MWAA, EMR, Lambda). Architect scalable data pipelines that power customer reporting and analytics infrastructure for internal Finance customers. Integrate data across heterogeneous sources: extracting, transforming, and loading with a focus on data quality and sound design trade-offs. Partner with finance managers, developers, and BI Engineers to deliver data architecture projects and next-generation financial solutions. Drive engineering excellence through code reviews, design discussions, and team planning; continually improving reporting processes and expanding self-service automation. Identify and implement process improvements that scale existing solutions, launch new ones, and drive innovation based on stakeholder needs. Own operational reliability: diagnosing and resolving issues through rigorous root cause analysis to maintain high system availability. A day in the life You start your morning reviewing pipeline health dashboards and triaging data quality alerts on cost data flowing across transportation segments. Mid-morning, you collaborate with finance analysts to validate cost allocation logic for a carrier segment being onboarded into the platform. After lunch you build and test an ETL module that integrates a partner team's operational data feed, then pair with a teammate on a code review to ensure the solution scales across regions. Your afternoon wraps up with a design session on extending item-level cost granularity to support new reporting dimensions. About The Team Our team within Operations Finance builds and operates the self-serve data platform that powers financial reporting, bridging, and analytics for over 2,500 finance customers across multiple regions. We support 10+ data producer teams and are focused on scaling automation, improving data quality, and incorporating AI-driven workflows for both our builders and customers. If you want to shape how a global finance organization interacts with data, this is the place to do it. Basic Qualifications 1+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Experience with one or more scripting language (e.g., Python, KornShell) Preferred Qualifications Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, WA, Bellevue - 101,300.00 - 160,000.00 USD annually Company Amazon.com Services LLC Job ID: A10593516