About Spokeo Join our mission to make the world more transparent with data. Spokeo is a people intelligence platform that helps over 18 million monthly visitors reconnect with friends, reunite with families, and build trust in new relationships. Thousands of companies also trust Spokeo's 60 billion public records to improve customer research, help verify information, and prevent fraud. Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 years. It has earned recognition from Comparably as a Best Company for Compensation, Employee Happiness, Perks and Benefits, Support for Women, Work-Life Balance, and CEO Leadership. About This Opportunity As a Senior Data Engineer at Spokeo, you will develop, optimize, and improve our data systems, including ETL pipelines, storage, and entity resolution. This involves working with infrastructure built in AWS, including Airflow, PySpark, EMR, S3, DynamoDB, and more. This role will help build and improve data products, automation platform features, analytical software packages, and data pipeline orchestration tools. What You'll Do Build infrastructure and data automation pipelines to ingest, process, and load data from various sources. Automate and integrate new components into the data pipeline. Collaborate with stakeholders and data science teams to develop data products, including entity resolution and best selection, to efficiently execute product vision and strategy in alignment with organizational goals and priorities. Create unit and stress-test components to monitor technical performance and ensure that identified issues are resolved. Develop data analysis tools to provide data insights and capture key metrics. Research solutions and maintain technical documentation. Follow best practices for data governance, quality, cleansing, and other ETL-related activities. Who You Are Required: 7+ years of development experience in data engineering within a production environment (internships and academic settings excluded). Proven experience working with large datasets exceeding 100M+ records or multiple terabytes. Required: 5+ years of development experience in highly scalable, distributed systems and cluster architectures using AWS and utilizing EMR. Required: 5+ years of hands-on programming experience with Python. Required: 5+ years of professional experience working in big data ecosystems; Spark is required; PySpark is preferable. Required: 5+ years of experience with SQL, schema design, and dimensional data modeling. Required: 5+ years of professional experience working with dataflow orchestration tools, such as Airflow. Required: 2+ years of experience with non-relational databases (e.g., DynamoDB, Elasticsearch, etc.). Required: A bachelor's degree in Computer Science, Information Systems, Mathematics, or a related field is required. Working at Spokeo Spokeo offers a bonus program, equity plans, and a 401 (k). Once a year, we do a discretionary, merit-based salary increase. Additional benefits include 100% medical/dental/vision coverage and unlimited employee PTO. Hiring at Spokeo We extend written offers to candidates who successfully complete their selection process. Offers will depend on several factors, including, but not limited to, marketplace competition, job leveling, experience, and skills. Privacy Notice for Candidates: https://www.spokeo.com/recruiting-policy Spokeo is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products, and be relevant in a rapidly changing world. Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully executed agreement on file, and 2) being assigned to the open position (as a search) via our applicant tracking solution. Use of Artificial Intelligence in Our Hiring Process Spokeo may use artificial intelligence-enabled tools to support portions of the recruiting process. These tools may help our recruiting team organize, review, and summarize application materials, candidate experience, and interview information. They may also identify potential inconsistencies or verification signals in application materials for further human review. AI-enabled tools assist our recruiting team but do not replace human judgment. Employment decisions are made by people based on a candidate's qualifications and the role's requirements. Spokeo is a people search engine that helps over 18 million monthly visitors reconnect with friends, reunite with families, and protect against fraud. Additionally, our 12 billion records and over 250 million unique profiles help business professionals locate people and assets, research criminal investigation subjects, and more.
Тікелей жұмыс арнасы
Өзіңізді табыңыз Армандаған мансап
Үздік компаниялардың мыңдаған таңдалған мүмкіндіктері - өзіңіздің тамаша сәйкестікіңізді табу үшін рөл, жалақы және қашықтан таңдау бойынша сүзгілеу.
73,115 жұмыс орындары
Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page! Job details: Fully Remote Data Engineer Opportunity - Publicly Traded Fast Growing HealthCare Technology Firm This Jobot Job is hosted by: Gene Choi Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume. Salary: $150,000 - $200,000 per year A bit about us: We are a publicly traded healthcare company specializing in value-based care and physician-led medical services. Through technology, data analytics, and partnerships with healthcare providers, we aim to improve patient outcomes while making healthcare more accessible and cost-effective. Why join us? Competitive Base Salary! 401K match, PTO, and excellent benefits! Accelerated Career Growth! 100% Remote! Job Details Responsibilities: Design, build, and maintain robust and scalable data pipelines to support our rapidly growing and dynamic environment. Use a variety of languages and tools to marry systems together and integrate data from various data sources. Ensure the performance, reliability, and efficiency of databases. Collaborate with data scientists, BI analysts, IT professionals, and other stakeholders to understand data needs. Develop and implement data standards, ensuring data quality and consistency. Utilize cloud platforms (AWS, Azure, GCP) to optimize data delivery. Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs. Leverage your experience in the healthcare sector to inform data strategies and solutions. Create data tools for analytics and data scientist team members to assist them in building and optimizing our product into an innovative industry leader. Use your advanced knowledge of Excel, PowerBI, and Tableau to create insightful dashboards and reports. Qualifications: Bachelor's degree in Computer Science, Information Systems, or a related field. 5+ years of experience in a Data Engineer role or related position. Proficiency in Python, Spark, SQL, and SDLC. Experience with Databricks, Tableau, PowerBI, and Excel. Strong knowledge of AWS, GCP, and Azure. Experience in the healthcare industry is preferred. Expertise in relational database theory, database design, and SQL. Proven ability to solve complex problems with a keen eye for detail. Strong communication skills and the ability to work effectively with a diverse team. Demonstrated ability to manage projects and lead teams to deliver high-quality results in a fast-paced, deadline-driven environment. Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
Data Engineer The Marlin Alliance is seeking a dedicated Data Engineer to support our Navy client. The successful candidate will support a DoD client program by designing, building, and maintaining data pipelines that transform raw operational data into governed, analytics-ready datasets. This role plays a key part in enabling the client's mission systems to make effective use of complex, evolving data sources, often in the absence of pre-defined analytic requirements. The position sits within a cross-disciplinary technical team delivering practical, results-driven data solutions. Incorporated in 2002, The Marlin Alliance is a digital transformation company dedicated to ensuring our clients compete and win in tomorrow's digital world. We specialize in creating technical solutions that allow for seamless execution of automated business processes and the generation of governed, machine-consumable data. From strategic planning to advanced analytics and cybersecurity, our team provides cutting-edge, cross-disciplinary solutions. We are seeking motivated professionals who share our agile, solution-oriented mindset and are ready to deliver the real, practical results relied upon by our clients. Location: San Diego, CA, Hybrid Clearance: Ability to obtain a Secret security clearance required Travel: Minimal travel may be required Responsibilities Design, build, and maintain scalable data pipelines using Databricks and PySpark Develop and optimize Python and SQL based data transformation workflows Analyze datasets that may lack predefined analytic requirements and independently identify valuable, actionable insights Collaborate with stakeholders to translate ambiguous data problems into clear analytic solutions Ensure data quality, governance, and consistency across pipelines and outputs Document data engineering processes, pipeline architecture, and analytic approaches Partner with cross-functional team members to integrate data outputs into downstream applications and dashboards Troubleshoot and resolve data pipeline issues to maintain reliable, timely data delivery Required Qualifications Bachelor's degree in Computer Science, Data Science, or a related field; equivalent professional experience may be considered in lieu of a degree 3 to 5 years of experience in data engineering or a related field Demonstrated experience with Databricks and PySpark for large scale data processing Strong programming ability in Python Experience writing, optimizing, and troubleshooting SQL queries Demonstrated ability to infer and define valuable analytics from datasets without established analytic requirements Strong written and verbal communication skills, with the ability to convey technical concepts to diverse audiences Ability to analyze technical challenges and contribute to effective solutions in a team environment Must be a US citizen and able to obtain and maintain a Secret security clearance Preferred Qualifications Experience with React for front end development Experience with Palantir Foundry Prior experience supporting Department of Defense programs Active security clearance Work Environment And Mental/Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions. Typical office environment with no unusual hazards The noise level in the work environment is usually moderate Constant sitting while using the computer terminal Constant use of sight abilities while reviewing documents Constant use of speech/hearing abilities for communication Occasional reaching, stooping, kneeling, or crouching may be required Occasional lifting up to 20 pounds Constant use of mental alertness Frequent work under deadlines Job Classification Associate $85,000 to $100,000 (recommended estimate, pending internal validation) Disclaimer This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job related instructions and to perform any other job related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbents will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship. An Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. Seniority Level Entry level Employment Type Full-time Job Functions Information Technology Skills Business Process Computer Science Communication Data Transformation Data Science Communication Training Enhanced Data Rates for GSM Evolution (EDGE) Plays Azure Dat
Vuori is re-defining what athletic apparel looks like: built to move and sweat in but designed with a casual aesthetic to transition into everyday life. We draw inspiration from an active coastal California lifestyle; an integration of fitness, creative expression and life. Our high energy fast paced retail environment is reflected in the clothes we make. We aim to inspire others to take on all aspects of their lives with clarity, enthusiasm and purpose…while having a lot of fun along the way. We are proud to be an outlet for opportunity and for personal growth and success. Job Description We're looking for a Principal Data Engineer to design, build, and scale the data pipelines that bring data into our platform and make it ready for analytics. You'll work across the full pipeline lifecycle — from raw ingestion of heterogeneous sources through staging and curated layers — while playing a leading role in setting technical direction for our broader data infrastructure. You'll partner closely with fellow data engineers, data modelers, analysts, and product teams on what gets built next, and help raise the technical bar across the team. What you'll get to do: Move data through the full pipeline lifecycle — raw/src, staging, and curated layers — applying appropriate transformation, validation, and testing at each stage to prepare data for analytics consumption Build and maintain Azure Data Factory (ADF) pipelines to orchestrate ingestion and transformation across source, curated, and serving layers Design ingestion patterns for a range of raw source formats — REST/SOAP APIs, flat files (CSV, fixed-width), JSON, and XML — landing them reliably into the src layer before transformation Build resilient API extraction logic handling pagination, rate limiting, incremental/delta pulls, and schema drift from third-party sources Parse and flatten semi-structured JSON payloads (nested objects, arrays) into queryable relational structures within Snowflake Handle file-based ingestion at scale — SFTP/blob drops, file validation, schema enforcement, and reprocessing/backfill logic for late or malformed files Contribute to ADF pipeline CI/CD, deploying through Azure DevOps/GitHub Actions across dev/UAT/prod environments Set technical standards for pipeline design, code quality, and testing, and mentor other data engineers on the team Qualifications Who you are: Hands-on experience with Azure Data Factory (ADF) — pipelines, data flows, linked services, integration runtimes, and triggers Experience extracting and normalizing raw data from heterogeneous sources: REST APIs, flat files, JSON/XML, and SFTP/blob-based drops Comfortable writing extraction logic that handles pagination, authentication (API keys, OAuth), and incremental sync patterns Experience parsing and modeling semi-structured/nested JSON data within a cloud data warehouse (e.g., Snowflake VARIANT/FLATTEN) 8+ years of experience in data engineering or a related field, including experience operating at a senior or technical lead level Strong proficiency in SQL and at least one programming language commonly used in data engineering (Python, Scala, or Java) Strong communication skills and experience working cross-functionally with analytics, product, and engineering teams Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience preferred Experience with dbt or similar transformation frameworks Familiarity with infrastructure-as-code (Terraform, ARM/Bicep) and broader CI/CD practices Exposure to real-time analytics or streaming technologies Additional Information Our investment in you: At Vuori, we're proud to offer the following to our employees: Health Insurance Savings and Retirement Plan Employee Assistance Program Generous Vuori Discount & Industry Perks Paid Time Off Wellness & Fitness benefits The salary range for this role is $181,000 per year - $242,000 per year. This role is bonus eligible. Vuori is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. All your information will be kept confidential according to EEO guidelines.
The Aerospace Corporation is the trusted partner to the nation's space programs, solving the hardest problems and providing unmatched technical expertise. As the operator of a federally funded research and development center (FFRDC), we are broadly engaged across all aspects of space— delivering innovative solutions that span satellite, launch, ground, and cyber systems for defense, civil and commercial customers. When you join our team, you'll be part of a special collection of problem solvers, thought leaders, and innovators. Join us and take your place in space. Aerospace is the trusted partner to the nation's space enterprise, solving the hardest problems with innovative solutions. Within Aerospace's Office of the CIO, the newly constructed Data and AI Services team provides advanced modeling, machine learning, and predictive analytics capabilities that inform enterprise services operations and facilitate strategic decision-making across the corporation. Our Data Engineering team will build and maintain the data infrastructure, pipelines, and platforms. We are looking for a Senior Data Engineer . This role will design, build, and optimize scalable data pipelines and infrastructure that enable reliable, timely, and secure access to data across the enterprise. This position offers the opportunity to work closely with data scientists, software engineers, and mission teams to ensure that high-quality data is available to support advanced analytics, AI/ML initiatives, and critical business operations. What You'll Be Doing Design, build, and maintain robust, scalable ETL/ELT pipelines to ingest, transform, and deliver data from diverse sources across the enterprise Partner with data scientists, software engineers, and business stakeholders to understand data requirements and deliver reliable, high-quality data solutions Architect and optimize data storage solutions, including relational databases, data lakes, and data warehouses, to support analytics and reporting needs Implement data quality checks, monitoring, and alerting to ensure the accuracy, completeness, and timeliness of data across pipelines Lead efforts to improve pipeline performance, scalability, and cost-efficiency across cloud and on-premise environments Mentor junior data engineers and promote best practices in data engineering, including code quality, testing, and documentation (Fosters Innovation, Leads Change) Collaborate cross-functionally to support the integration of new data sources and emerging technologies, driving continuous improvement in the data platform (Operates Strategically) What You Need To Be Successful Minimum Requirements for Senior Data Engineer (Data Technical Lead Staff IV): Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related STEM field 8-10 years of experience in data engineering, software engineering, or a related technical field Strong proficiency in SQL and at least one programming language such as Python, Java, or Scala Hands-on experience building and maintaining data pipelines using tools such as Apache Airflow, Spark, or Kafka Experience with cloud data platforms (e.g., AWS, Azure, or GCP), including services for storage, compute, and data processing Strong understanding of data modeling, data warehousing concepts, and database design principles Willing to travel occasionally to work locations or customer sites domestically, approx. 10% This position requires the ability to obtain and maintain a security clearance, which is issued by the U.S. government. U.S. citizenship is required to obtain a security clearance. Minimum Requirements For Data Technical Lead Staff V In addition to the above, the minimum requirements for the Senior Data Engineer (Data Technical Lead V) include: A minimum of 10 or more years data engineering, software engineering, or a related technical field Familiarity with streaming data architectures and real-time data processing How You Can Stand Out It would be impressive if you have one or more of these: Master's degree in Computer Science, Data Engineering, or a related STEM field 15+ years of experience in data engineering, with prior experience in aerospace, defense, or government environments Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) and Infrastructure-as-Code (e.g., Terraform) Relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) We offer a competitive compensation package where you'll be rewarded based on your performance and recognized for the value you bring to our business. The grade-based pay range for this job is listed below. Individual salaries within that range are determined through a wide variety of factors including but not limited to education, experience, knowledge and skills. (Min - Max) $120,300.00 - $228,000.00 Pay Basis: Annual Leadership Competencies Our leadership philosophy is simple: every employee, regardless of level and role, can demonstrate leadership. At Aerospace, our commitment is our people. To cultivate our talent and ensure that we have a strong pipeline of future leaders, we want individuals who: Operate Strategically Lead Change Engage with Impact Foster Innovation Deliver Results Ways We Reward Our Employees During your interview process, our team will provide details of our industry-leading benefits. Benefits vary and are applicable based on Job Type. A few highlights include: Comprehensive health care and wellness plans Paid holidays, sick time, and vacation Standard and alternate work schedules, including telework options 401(k) Plan — Employees receive a total company-paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service and matching contributions; employees are immediately eligible and vested in the plan upon hire Flexible spending accounts Variable pay program for exceptional contributions Relocation assistance Professional growth and development programs to help advance your career Education assistance programs An inclusive work environment built on teamwork, flexibility, and respect We are all unique, from various backgrounds and all walks of life, yet one thing bonds all of us to each other—the belief that we can make a difference. This core belief empowers us to do our best work at The Aerospace Corporation. Equal Opportunity Commitment The Aerospace Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, age, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity or expression, color, religion, genetic information, marital status, ancestry, national origin, protected veteran status, physical disability, medical condition, mental disability, or disability status and any other characteristic protected by state or federal law. If you're an individual with a disability or a disabled veteran who needs assistance using our online job search and application tools or need reasonable accommodation to complete the job application process, please contact us by phone at 310.336.5432 or by email at peoplemangmnt.mailbox@aero.org . You can also review Know Your Rights: Workplace Discrimination is Illegal.
— білікті үміткерге қол жеткізіңіз
Жұмысыңызды бүгін жариялаңыз және 24 сағат ішінде өтінімдерді алыңыз.
DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the backbone, heart and soul of our firm. Wherever you are in your professional journey, DLA Piper is a place you can engage in meaningful work and grow your career. Let's see what we can achieve. Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics, reporting, and downstream solutions. The role focuses on operationalizing pipelines with governance and service expectations (SLAs), improving data quality and reusability, and enabling secure access to integrated data in support of business initiatives. In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution teams can consume data consistently. Location This position can sit in any of our U.S. offices and offers a hybrid work schedule. Responsibilities Data Pipeline Engineering & Integration Build and operationalize data pipelines across heterogeneous environments, aligning to governance principles and service expectations (SLAs). Build and maintain ingestion, transformation, and publication of pipelines (data engineering practice) to deliver analytics-ready data. Consolidate data from multiple sources into a centralized integration point (e.g., a single SQL Server instance) and manage field mappings and transformations to support consistent downstream consumption. Data Platform & Storage Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs and other systems. Build and maintain data warehousing capabilities (e.g., Azure Synapse Analytics) to support analytics and reporting workloads. Data Quality, Reliability & Operations Identify, troubleshoot, and resolve data issues including data quality, integrity, latency, and security concerns; apply monitoring and operational best practices to keep pipelines reliable and performant. Contribute to data quality and governance practices, including profiling datasets, defining quality rules, and establishing monitoring/remediation approaches. Collaboration & Delivery (Agile Pod Model) Work cross-functionally with engineers, analysts, and stakeholders to understand requirements and deliver data solutions that support sprint-based delivery. Support pod-level delivery by producing reusable data assets and integration components that can be leveraged across multiple initiatives. Desired Skills Proficiency in SQL and Python. Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). Data warehousing experience (Azure Synapse Analytics) and strong fundamentals in data modeling, warehousing, and governance. Scripting/automation skills (PowerShell and related tooling) for platform operations and troubleshooting. Preferred experience includes familiarity with additional programming languages such as Java, Scala, or Go; experience integrating data from multiple enterprise source systems into a central SQL-based integration layer; and familiarity with DataOps concepts and operating in cross-functional teams that include data engineering personas. The measures of success for this role include delivering data pipelines with trusted, quality data with agreed service levels, enabling faster onboarding of new data and more consistent analytics/AI consumption and creating reduced manual effort through reusable integrations and standardized transformations, improved data reliability and operational readiness. Minimum Education High School or GED Preferred Education Bachelor's Degree in Computer Science, Engineering, or related field. Minimum Years Of Experience 3 years of experience in data engineering and/or data platform engineering (pipelines, integration, and operational support). Essential Job Expectations All DLA Piper employees are expected to demonstrate excellence in how we serve our clients and develop our people, upholding our firm values as part of our culture. Specific expectations include: Communicate effectively, both verbally and in writing, with clients, lawyers, business professionals, and external audiences. Produce high-quality work and respond to correspondence in an efficient, timely, and professional manner. Meet deadlines, manage competing priorities, and commit to meeting high standards. Comply with firm policies and procedures. Maintain confidences as required in a law firm environment. Physical Demands Sedentary work: This is primarily sedentary work, requiring occasional exertion of up to 10 pounds of force to lift, carry, push, pull, or move objects. The role involves sitting for extended periods, with occasional walking and standing, and occasional travel, both domestic and international. Work Environment The selected candidate will have the opportunity for a hybrid work arrangement combining remote and in-office work. The specific arrangement will be determined at the time of hiring and may be modified at the firm's discretion. Compensation & Benefits The firm's expected hiring range for this position is $100,787 - $160,255, depending on the candidate's geographic location, experience, skills, educational background, and overall qualifications. DLA Piper offers a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) retirement plan, and additional benefits. Application Process Interested candidates must apply directly online. Application materials sent via email will not be accepted. Reasonable accommodations may be made upon request to enable individuals with disabilities to perform the essential functions of this position or participate in the selection process. For accommodation requests, please contact careers@us.dlapiper.com. Agency applications will not be considered. This position is not eligible for immigration sponsorship or support. Disclaimer This job description provides a concise overview of the role and is not intended to describe all work elements that may be performed. It should not serve as the sole criteria for personnel decisions. Job duties, requirements, and expectations may be modified at the firm's discretion at any time. This job description does not alter the at-will nature of employment. We are committed to excellence in how we serve our clients and develop our people. DLA Piper is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job applicant poster viewing center .
Overview AARP is the nation's largest nonprofit, nonpartisan organization dedicated to empowering people 50 and older to choose how they live as they age. With a nationwide presence, AARP strengthens communities and advocates for what matters most to the more than 100 million Americans 50-plus and their families: health and financial security, and personal fulfillment. AARP also works for individuals in the marketplace by sparking new solutions and allowing carefully chosen, high-quality products and services to carry the AARP name. As a trusted source for news and information, AARP produces the nation's largest-circulation publications, AARP The Magazine and the AARP Bulletin . Data & Analytics leverages business intelligence gained through advanced data analytics in order to maximize AARP's marketing and communications results. This includes using data science, data engineering, predictive modeling, and market analytics to guide data driven decision making. The Data Engineer works with cross-functional teams and customers to understand business requirements and translates into technical specifications. Discovers the true requirements underlying feature requests and recommends alternative technical approaches. Partners with cross-functional technical teams to launch projects and provide ongoing technical support. Collaborates with management to identify opportunities to streamline technology processes and develop new procedures that support the business unit/department. Responsibilities Establishes a technical roadmap for the platform and/or capability strategy and lifecycle that considers value-based outcomes, costs to maintain, supportability, and performance. Ensures sound integration, data, security, and business architecture design throughout all stages within the platform and/or capability lifecycle. Provides rapid delivery and development of technical solutions that align with business and/or platform desired outcomes. Troubleshoots and resolves technical issues related to platform or capability systems, solutions, and services. Innovates and drives continuous improvements of implementation methodology and technical service offerings based on customer/employee experiences or other enterprise objectives/outcomes. Participates in a Community of Interest for engineers across all capability and platform teams to share information and strengthen understanding of business needs and technology-based business solutions. Develops and maintains deep technical knowledge and expertise related to domain area systems, solutions, services, and applications. Qualifications Bachelor's degree in Computer Science, Data Engineering, Information Systems, or equivalent experience, plus 3+ years of hands-on experience designing, building, and maintaining data pipelines and large-scale data infrastructure in a technical business environment. Strong proficiency in SQL and Python, including Databricks, PySpark, or similar frameworks, and experience with Big Data and distributed processing technologies such as Spark, Hadoop, and Delta Lake. Experience with data integration, including ETL/ELT, APIs, streaming, and batch processing; structured and unstructured datasets; and platforms such as Databricks, AWS, Informatica IICS, or similar frameworks. Preferred Experience implementing data quality frameworks, validation rules, reconciliation processes, automated testing, monitoring, observability, and alerting to detect and remediate pipeline failures, schema changes, and data quality anomalies. Knowledge of data integrity, lineage, metadata management, and data governance, including root cause analysis, with familiarity in platforms such as Collibra, Unity Catalog, Great Expectations, Monte Carlo, Informatica Data Quality, or similar technologies preferred. Experience developing AI-powered analytics, conversational data applications, or intelligent agents using Databricks Genie, Databricks AI/BI, large language models, or similar technologies, with familiarity in multi-agent architecture, persona-based simulation, prompt engineering, retrieval-augmented generation, and governed grounding. Experience preparing data products, semantic models, metadata, and business definitions for AI agents and developing evaluation frameworks that assess AI-generated responses for accuracy, relevance, consistency, grounding, bias, and safety. AARP will not sponsor an employment visa for this position. Additional Requirements Regular and reliable job attendance Effective verbal and written communication skills Exhibit respect and understanding of others to maintain professional relationships Independent judgement in evaluation options to make sound decisions In office/open office environment with the ability to work effectively surrounded by moderate noise Hybrid Work Environment AARP observes Mondays and Fridays as remote workdays, except for essential functions. Remote work can only be done within the United States and its territories. Compensation And Benefits AARP offers a competitive compensation and benefits package including a 401(k); 100% company-funded pension plan; health, dental, and vision plans; life insurance; paid time off to include company and individual holidays, vacation, sick, caregiving, and parental leave; performance-based and peer-based recognition and tuition reimbursement. Equal Employment Opportunity AARP is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. AARP does not discriminate on the basis of race, ethnicity, religion, sex, color, national origin, age, sexual orientation, gender identity or expression, mental or physical disability, genetic information, veteran status, or on any other basis prohibited by applicable law. ]]>
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) Experience with AI-assisted development tools in day-to-day engineering work 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: A10569664
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Engineer – Mid Level , you will be engaged in all phases of the data management lifecycle. This includes gathering and analyzing requirements, collecting, processing, storing, securing, and archiving data. You will develop and maintain technical systems for data reporting and technical solutions utilizing emerging technologies. You will partner with the business to ensure data management solutions aligned to business objectives. What You Will Do Independently conducts work on the full life cycle of data engineering to include analysis, solution design, data pipeline engineering, testing, deployment, scheduling, and production support. Designs and implements complex technical solutions for data engineering and analytic systems. Identifies and solves significant technical problems and architecture deficiencies to include design, security, and performance. Collaborates on design reviews by providing feedback on trends and makes recommendations for solutions. Breaks down business features and into technical stories and approaches. Influences stakeholders in technical adoption for best solutions. Creates proof of concepts and prototypes that drive the vision and the outcome for complex initiatives to be delivered. Collaborates with the team and other engineers on new technologies and alternatives to plan and execute complex assignments and tasks. Helps on-board entry level engineers. May begin mentoring junior engineers. Acquires data from multiple data sources and maintains resulting databases, data warehouses, and/or data lakes. Assists to develop, maintain, and enforce the company's data development tools and standards. Conducts code reviews on a regular basis to improve quality and ensure compliance. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What You Will Have Bachelor's degree; OR 4 years of relevant education and/or experience.: 4 years of data engineering, data analysis or software development experience implementing data solutions with at least 1 year of data engineering or data management experience. Extensive knowledge and working experience in SQL and Relational Databases. Understands the Agile methodology practice. Strong analytical and problem-solving skills. Proficient in working in Cloud technologies and tools. What Sets You Apart Snowflake DBT SQL Kafka APIs Python Data Modeling Fivetran Git/version control Compensation range: The salary range for this position is: $103,450 - $197,730 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Engineer – Mid Level , you will be engaged in all phases of the data management lifecycle. This includes gathering and analyzing requirements, collecting, processing, storing, securing, and archiving data. You will develop and maintain technical systems for data reporting and technical solutions utilizing emerging technologies. You will partner with the business to ensure data management solutions aligned to business objectives. What You Will Do Independently conducts work on the full life cycle of data engineering to include analysis, solution design, data pipeline engineering, testing, deployment, scheduling, and production support. Designs and implements complex technical solutions for data engineering and analytic systems. Identifies and solves significant technical problems and architecture deficiencies to include design, security, and performance. Collaborates on design reviews by providing feedback on trends and makes recommendations for solutions. Breaks down business features and into technical stories and approaches. Influences stakeholders in technical adoption for best solutions. Creates proof of concepts and prototypes that drive the vision and the outcome for complex initiatives to be delivered. Collaborates with the team and other engineers on new technologies and alternatives to plan and execute complex assignments and tasks. Helps on-board entry level engineers. May begin mentoring junior engineers. Acquires data from multiple data sources and maintains resulting databases, data warehouses, and/or data lakes. Assists to develop, maintain, and enforce the company's data development tools and standards. Conducts code reviews on a regular basis to improve quality and ensure compliance. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What You Will Have Bachelor's degree; OR 4 years of relevant education and/or experience.: 4 years of data engineering, data analysis or software development experience implementing data solutions with at least 1 year of data engineering or data management experience. Extensive knowledge and working experience in SQL and Relational Databases. Understands the Agile methodology practice. Strong analytical and problem-solving skills. Proficient in working in Cloud technologies and tools. What Sets You Apart Snowflake DBT SQL Kafka APIs Python Data Modeling Fivetran Git/version control Compensation range: The salary range for this position is: $103,450 - $197,730 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Required Education/Experience Bachelor's in Computer Science or Information Technology Preferred Licenses/Certifications Microsoft Azure certifications, such as: Azure Administrator Associate Azure DevOps Engineer Expert Azure Solutions Architect Expert or equivalent relevant Azure credentials Required Qualifications 5+ years of experience in automation, DevOps, or platform engineering roles, with demonstrated ownership of complex systems. Experience in scripting and coding for Infrastructure as Code (IaC). Hands on experience with AWS services, including containerized and orchestrated platforms such as Kubernetes. Deep working knowledge of CI/CD tooling and practices, including Jenkins, GitHub, and Azure DevOps, at enterprise scale. Experience working with database platforms and services, including SQL Server and Postgres. Proven experience supporting microservices based architectures in production environments. Solid understanding of compliance and quality frameworks (e.g. ISO) and how they apply to automated delivery pipelines. Working development knowledge in .NET, Java, and/or Python, sufficient to review code, troubleshoot issues, and contribute where required. Position's Contributions To Work Group CLIENT products generate and process large amounts of data from sensors, on board models, and control algorithms in real time, creating real world machine usage information As part of CLIENT's overall digital strategy, an integrated family of machine based information technology products has been developed to interconnect machines and provide real time guidance, tracking, monitoring, and supervisory control of the operational mining fleet This family of products is branded MineStar. The MineStar product range links with other mining and business information systems and is an integral part of the Mining Technology Enabled Solutions vision We are seeking a DevOps Engineer to join our operations team This role focuses on designing, implementing, and owning automation solutions that improve reliability, scalability, security, and delivery speed across the entire software development lifecycle The role operates with limited supervision, provides technical ownership, and influences automation standards across teams. Top 3 Skills Github Jenkins Kubernetes Responsibilities Design and implement end to end automation solutions across build, test, deployment, and infrastructure lifecycles. Partner with Agile delivery teams to define automation strategy, identify systemic inefficiencies, and drive continuous improvement initiatives. Collaborate with developers and quality engineers to standardize pipelines, environments, and workflows, reducing manual effort and operational risk. Design, implement, and support robust CI/CD pipelines, proactively removing delivery bottlenecks and improving deployment reliability. Take ownership of complex automation and deployment issues, performing root cause analysis and driving long term corrective solutions. Coordinate with multiple Agile teams to identify, manage, and resolve technical dependencies impacting delivery and operations. Work closely with external and enterprise teams to ensure alignment with corporate architecture, security, and compliance standards. Establish and maintain automation standards, best practices, and reusable templates across teams. Document automation designs, operational procedures, and runbooks in Confluence, and plan and track work in Azure DevOps. Provide technical guidance and mentoring to junior engineers and peers, raising overall automation maturity within the organization. Only those lawfully authorized to work in the designated country associated with the position will be considered. Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements. About Rose Founded in 1993 Office Locations Across the U.S. 150+ Clients: Corporations and Government Agencies Employee Oriented Company Challenging Assignments Across the U.S. Continuous Professional Development EMPLOYEE COMMENTS We want you to work with us, but don't take our word for it. Take a look at this sampling of employee comments. They speak for themselves.
NVIDIA's networking software runs the fabrics inside the world's largest AI systems: NVLink and InfiniBand switch management, subnet managers, in-network computing, and fabric telemetry. Our infrastructure and DevOps team owns how that software is built, tested, scanned, and released — the CI/CD pipelines, Kubernetes-based build fleets, artifact and container registries, quality and security gates, and the hardware-simulation and lab environments the product teams rely on every day. We are looking for a senior DevOps engineer who is at home on Linux, automates in Python and Bash without hesitation, and takes pipelines end to end, from a red nightly to a signed release. The work spans a dozen active repositories and three CI systems, together with a distributed team of DevOps and product engineers across the US and Israel. Every build the networking software organization ships passes through what this role owns. What You'll Be Doing Design, build, and maintain CI/CD pipelines for a portfolio of networking software products across GitLab CI, Jenkins, and GitHub Actions — from merge-request gates to nightly regressions and release pipelines that package, sign, and publish Debian and RPM packages and container images. Keep pipeline signal trustworthy: make failures visible and actionable, remove failure masking, stabilize flaky lanes, and turn nightly regression results into something product teams act on. Operate and evolve the build infrastructure — Kubernetes-based CI runner fleets, container registries and artifact repositories, caching, retention policies, and access control. Integrate quality and security gates into every pipeline: code coverage, static analysis, unit and functional test lanes, secret and container scanning, dependency and vulnerability scanning — and drive findings to closure with the owning teams. Automate provisioning of hardware- and simulation-based test environments with Ansible and Python. Partner with C++ and Python developers, verification engineers, and lab and infrastructure teams to unblock builds, harden release paths, and set repository standards — branch protection, code owners, merge policies. Apply AI-assisted tooling to DevOps work — automated code review, failure-triage assistants, agent workflows — wherever it removes toil. What We Need To See Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent experience. 5+ years in DevOps, build and release, or infrastructure engineering roles, including pipelines owned end to end. Deep, hands-on Linux skills on Ubuntu and RHEL: shell fluency, process and system debugging, package management, operating fleets of hosts, and containers with Docker. Strong automation in Python and Bash. Production track record with at least one modern CI system — GitLab CI, Jenkins pipelines, or GitHub Actions — including multi-stage pipelines for both compiled and interpreted codebases. Working knowledge of Kubernetes as a CI and infrastructure platform, plus container registries and artifact repositories. Familiarity with software quality and security tooling: coverage, static analysis, secret and vulnerability scanning. Solid grounding in computer networking fundamentals and Git-based development workflows. Ownership and clear communication — able to drive a problem across teams and time zones and to document what you build. Ways To Stand Out From The Crowd Building and packaging C/C++ projects with CMake and Conan, and keeping large compiled builds fast and reproducible. Familiarity with high-performance networking — InfiniBand, Ethernet fabrics, NVLink — or with switch and network-management software. Running SonarQube, Coverity, Bullseye, or container and secret scanning at scale. Practical use of AI agents and LLM tooling to automate DevOps and verification workflows. Excellent interpersonal and communication skills With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 176,000 USD - 276,000 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 30, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2025882