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Join Atlas Air Worldwide. Move the World with Us! At Atlas Air Worldwide, we're not just an airline, we're a global engine powering cargo, passenger, and leasing operations across more than 70 countries. As a leader in outsourced aviation logistics, we're built on a foundation of safety , service excellence , integrity , innovation , teamwork , and responsibility . With over 30 years of history, a modern all-Boeing fleet, and nearly 5,000 teammates collaborating across operations, technical, and corporate functions, we're driven by purpose. If you're ready to grow, innovate, and help us deliver excellence every single day, you belong here. Position Summary: Atlas Air is seeking a Data Engineer to join our Data Platform and Engineering team. This is an early-career individual contributor role for an engineer who can deliver well-defined data solutions with guidance, build strong engineering fundamentals, and grow ownership over increasingly complex work. As we continue to build our data environment on Databricks, you will help build and operate reliable data pipelines, transformations, and data models. You will work within established architecture and standards, partner with more experienced engineers, and author production-quality code that supports analytics, data science, AI/ML, and operational decision-making. Major Accountabilities Data Pipeline Development Build, test, deploy, and maintain batch and streaming data pipelines for structured and semi-structured data sources using established patterns and frameworks. Develop data transformations that convert source data into accurate, documented, and reusable datasets. Implement data models and data products based on defined business requirements and technical designs. Use Databricks, Spark, orchestration tools, and cloud services to complete scoped engineering work with support from senior team members. Participate in code reviews and incorporate feedback to improve code quality, maintainability, and performance. Data Quality & Operations Create automated tests, validation checks, logging, and monitoring the pipelines and datasets you develop. Investigate data quality, reliability, and performance issues; resolve routine issues independently and escalate broader problems appropriately. Produce clear technical documentation, including data definitions, lineage, runbooks, and support notes. Participate in the team's on-call and incident response practices, with appropriate guidance and escalation support. Follow established security, privacy, governance, and access control requirements. Collaboration & Growth Work with Data Analytics, Data Science, Software Engineering, IT, Security, and business partners to clarify requirements and deliver fit-for-purpose solutions. Break defined requirements into engineering tasks, communicate progress and risks, and deliver work within agreed timelines. Contribute to team standards for source control, testing, CI/CD, documentation, and operational readiness. Learn the Atlas Air business domain and use that understanding to improve the usefulness and reliability of data products. Seek feedback, share knowledge, and progressively take ownership of larger components and less-defined problems. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a related quantitative field; or equivalent practical experience. Minimum 1 year of professional experience in data engineering, software engineering, analytics engineering, or a closely related field. Working proficiency in SQL and at least one general-purpose programming language (e.g., Python, TypeScript, Rust, Java, C++, etc.). Experience building or supporting data pipelines, transformations, or data models in a professional, internship, academic, or substantial project setting. Familiarity with core data engineering concepts, including ETL/ELT, relational data modeling, data quality testing, and pipeline orchestration. Experience with Git-based development practices and an understanding of code review, automated testing, and deployment workflows. Ability to troubleshoot technical issues methodically, communicate clearly, and collaborate effectively with technical and non-technical partners. Desired Qualifications Hands-on exposure to Databricks, Apache Spark, or another distributed data-processing platform. Experience with dbt or a similar transformation framework and an orchestration tool such as Airflow, Prefect, or Dagster. Familiarity with one major cloud platform and its data services: AWS, Azure, or GCP. Exposure to streaming or event-driven technologies such as Kafka, Kinesis, Spark Structured Streaming, or Flink. Familiarity with BI, data science, or machine learning workflows and the data products that support them. Experience in aviation, transportation, logistics, or another operationally complex industry. Applicants must be legally authorized to work in the United States. This position is not eligible for employment visa sponsorship or employer immigration support either now or in the future. The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws. If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document by clicking "EEO Is The Law" . To view our Pay Transparency Statement, please click here: Pay Transparency Statement Competitive compensation will be offered based on a variety of factors, including a candidate's experience, skills, education, geographic location, internal equity and other factors. In addition, a range of benefits to include medical, dental and vision insurance, employee assistance program, as well as generous paid time off, and 401K contributions are offered as a part of the total compensation package. Pay Range $73,500—$100,000 USD At Atlas Air Worldwide , we believe in the power of people, the promise of innovation, and the responsibility we hold to each other, to our customers, and to the planet. Join us and be part of a team that lifts more than cargo; we lift ambition.

About Rad AI At Rad AI, we're on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%. Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI. Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health. Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC's Disruptor 50 list, highlighting the innovation and momentum behind our mission. If you're ready to shape the future of healthcare, we'd love to have you on our team! Why Join Us We are seeking a Senior Data Engineer to join our engineering team. With our rapid client growth and ambitious plans for the year ahead, we are expanding the team and looking for a skilled professional to play a key role in building and maintaining data platform, pipelines, and management tools. What You'll Be Doing Design and implement the data architecture, ensuring scalability, flexibility, and efficiency using pipeline authoring tools like Apache Airflow, AWS Glue and large-scale data processing technologies like Spark. Define and extend our internal standards for style, maintenance, and best practices for a high-scale data platform. Collaborate with researchers and other stakeholders to understand their data needs including model training and production monitoring systems and develop solutions that meet those requirements. Take ownership of key data engineering projects and work independently to design, develop, and maintain high-quality data solutions. Ensure data quality, integrity, and security by implementing robust data validation, monitoring, and access controls. Evaluate and recommend data technologies and tools to improve the efficiency and effectiveness of the data engineering process. Who We're Looking For 5+ years relevant experience in data engineering. Expertise in designing and developing distributed data pipelines using big data technologies on large scale data sets. Deep and hands-on experience designing, planning, productionizing, maintaining and documenting reliable and scalable data infrastructure and data products in complex environments. Experience with various database technologies including SQL, NoSQL databases (e.g., AWS DynamoDB, ElasticSearch, Postgresql). Designed, built and maintained data infrastructure using IaC like Terraform. Prior Software Engineering experience is a plus. Nice To Haves Experience working at an early stage startup. Experience in a HIPAA compliant environment. Experience working on machine learning or healthcare related projects. Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission, we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you! To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-ai and be sure to follow us on LinkedIn to stay up to date! Location Details: For Roles Listed As San Francisco - Onsite This role will be based in our San Francisco office and we expect employees to work onsite four days per week. The remaining time may be worked remotely or onsite, depending on team and business needs. For Roles Listed As United States - Remote This role is open to candidates located anywhere in the United States. For roles listed as San Francisco - Onsite + United States - Remote : We will prioritize candidates who can work onsite four days per week in San Francisco, while also considering remote candidates located anywhere in the United States. For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including: Comprehensive Medical, Dental, Vision & Life insurance HSA (with employer match), FSA, & DCFSA 401(k) 11 Paid Company Holidays Flexible PTO policy Annual company-wide offsite Periodic team offsites Annual equipment stipend For roles based outside the US, your recruiter can share more details At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com. Compensation Range: $145K - $200K

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. The Reporting Analytics and Data (RAD) team is seeking a Data Engineer to help design, build, and support modern data solutions across UnitedHealth Group's Enterprise Services organization. In this role, you will own development of scalable ETL pipelines, data repositories, and integration patterns that bring together information from multiple enterprise systems and make it available for analytics, reporting, automation, and business decision-making. You will partner closely with business and technology stakeholders to understand data needs, translate requirements into durable engineering solutions, and ensure data is reliable, accessible, and structured for long-term use. This role is ideal for someone who enjoys hands-on data engineering while also promoting best practices and helping mature the team's data platform capabilities. If you live near Eden Prairie, MN, you will enjoy the flexibility of an office-based/remote role as you take on some tough challenges. Primary Responsibilities Direct the design, development, and support of scalable data pipelines, ETL/ELT processes, cloud-based data platforms, and data warehousing solutions to deliver trusted, high-quality data for analytics and operational reporting Establish and enforce data governance standards, data quality controls, platform reliability practices, and operational processes to ensure secure, compliant, and dependable data assets across the organization Collaborate with business stakeholders, analytics teams, architects, and product leaders to prioritize initiatives, resolve cross-functional dependencies, and translate business requirements into scalable data and analytics solutions You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Data Engineering, Analytics, or a related field 3+ years of experience in data engineering, analytics, or data platform development 3+ years of experience with SQL/Snowflake, Python, data modeling, ETL/ELT development, data integration, performance optimization, and data pipeline orchestration 1+ years of demonstrated experience designing, building, and managing large-scale cloud-based data platforms using technologies such as Snowflake, Azure Data Factory (ADF), Azure Data Lake, Databricks, and enterprise data warehousing solutions 1+ years of experience implementing modern software development practices, including source control and CI/CD using GitHub, automated testing, code reviews, release management, and infrastructure-as-code methodologies within data engineering environments Preferred Qualifications Experience supporting analytics, reporting, and AI/ML workloads All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $72,800 to $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment. #RPO #YELLOW

Inspired by Hard Work At Carhartt, the values of hard work—dependability, honesty, and trust—are rooted in the legacy of our founder, Hamilton Carhartt. His commitment to serving hardworking people continues to inspire everything we do. Guided by his legacy and our mission— We serve and protect all hardworking people by building durable products —we remain dedicated to upholding these principles in every decision we make and every product we create. Position Details Title: Sr. Data Engineer Department: Information Technology Reports to: Sr. Manager, Data Engineering Location: Dearborn, MI Job Classification: Remote FLSA Status: Exempt Job Band: Professional Job Summary The primary responsibility of this position is to design, build, optimize, and support secure, reliable, and scalable enterprise data solutions. The Senior Data Engineer provides technical leadership for Azure Databricks and Lakehouse architecture, data pipeline design and orchestration, data modeling and performance optimization, cloud-native data platforms, data governance and quality, and AI/ML-ready data products. This role mentors engineers and collaborates across business, analytics, architecture, security, and application teams to deliver trusted data for reporting, advanced analytics, machine learning, and operational use. Inspired by Hard Work At Carhartt, the values of hard work—dependability, honesty, and trust—are rooted in the legacy of our founder, Hamilton Carhartt. His commitment to serving hardworking people continues to inspire everything we do. Guided by his legacy and our mission— We serve and protect all hardworking people by building durable products —we remain dedicated to upholding these principles in every decision we make and every product we create. Associate Responsibilities Design, develop, test, deploy, and support scalable batch and streaming data pipelines using Azure Databricks, Azure Data Factory, Python, PySpark, SQL, and related cloud-native services. Design and evolve Lakehouse architecture using Delta Lake and Azure Data Lake Storage, including reusable data products and medallion-oriented data layers where appropriate. Create and optimize conceptual, logical, dimensional, relational, and physical data models that are aligned with business meaning and analytical requirements. Optimize pipelines, SQL queries, clusters, storage layouts, and processing patterns for performance, reliability, scalability, and cost effectiveness. Implement orchestration, dependency management, scheduling, monitoring, logging, alerting, error handling, recovery, lineage, and observability for production data workloads. Apply data governance and quality practices, including metadata, cataloging, validation, reconciliation, security, privacy, retention, and access controls. Engineer trusted, well-documented, and reusable datasets and features that support reporting, advanced analytics, data science, and AI/ML use cases. Lead technical design discussions, establish engineering standards and reusable patterns, conduct code and design reviews, and document architecture decisions and tradeoffs. Mentor data engineers through pairing, technical guidance, code reviews, troubleshooting, coaching, and clear documentation. Partner with business stakeholders, analysts, data scientists, product owners, architects, security teams, application teams, and vendors throughout the solution life cycle. Apply software engineering practices including Git-based source control, automated testing, CI/CD, deployment automation, and infrastructure configuration. Provide advanced production support, root-cause analysis, corrective actions, and continuous improvement for complex data platform and pipeline incidents. Required Education Bachelor's Degree in Computer Science, Information Systems, Engineering, Data Science, or a related technical field or equivalent related experience. Graduate degree preferred. Required Skills & Experience Minimum of 8 years of professional experience in data engineering, data warehousing, business intelligence, cloud data platforms, or a related field. Demonstrated experience designing, implementing, and supporting enterprise data solutions using Azure Databricks and Lakehouse architecture. Advanced experience with data pipeline design and orchestration, including batch and streaming patterns, dependencies, scheduling, monitoring, and recovery. Advanced SQL skills, including data modeling, query optimization, performance troubleshooting, and complex analytical transformations. Professional experience with Python and distributed data processing frameworks such as PySpark. Experience with Azure Databricks, Delta Lake, Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Unity Catalog, Azure DevOps, and related Microsoft Azure data platform services. Experience designing conceptual, logical, dimensional, relational, and physical data models for analytical and operational use. Experience optimizing cloud workloads for performance, scalability, reliability, and cost effectiveness. Working knowledge of data governance, metadata, cataloging, lineage, data quality, security, privacy, retention, and access-control principles. Experience preparing trusted, governed, reusable, and well-documented data products that enable reporting, advanced analytics, data science, machine learning, generative AI, and future AI-driven business capabilities. Experience with Git-based development, code reviews, automated testing, CI/CD, and deployment automation. Experience integrating data from SAP, SAP Datasphere, APIs, files, events, product and master data platforms, and third-party enterprise systems. Demonstrated technical leadership through architecture and solution design, engineering standards and best practices, design reviews, mentoring, code reviews, reusable patterns, and technical guidance across delivery teams. Excellent verbal and written communication skills, including the ability to explain technical designs, risks, decisions, and tradeoffs to technical and business audiences. Strong cross-functional collaboration skills with business partners, analysts, data scientists, product owners, architects, security teams, and application teams. Ability to isolate complex problems, evaluate options, make practical decisions, and provide advanced production support during critical incidents. Professional cloud or data engineering certification considered a plus. Physical Requirements And Working Conditions Normal office environment. Extended periods of time sitting, standing, typing on a computer is required. Willing to work some weekends if necessary. This position has a Remote location: Associate will have no regular requirement to be on-site. Travel on-site is limited to special events. Carhartt is a tobacco free workplace. This position offers a comprehensive suite of medical, dental, and vision insurance for associates and their dependents. In addition to healthcare coverage, Carhartt provides short-term and long-term disability insurance, life insurance, an employee assistance program, and a 401(k) plan with employer matching contributions. Employees can also benefit from paid time off and designated paid holidays. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law. All associates are required to understand and act in accordance with the Carhartt Core Values. Carhartt reserves the right to change, modify, suspend, interpret or cancel in whole or in any part, the job duties outlined above at any time and without advance notice to the employee.

GreenState Credit Union Data Engineer US-IA-North Liberty Job ID: 2026-4833 of Openings: 1 Category: Information Technology Work From Home Overview INFORMATION TECHNOLOGY: GreenState's Information Technology department adheres to the corporate values and acts as a business partner who understands the needs of the business, enables business units to meet strategic objectives through technology, and provides employees and members with quality technology platforms that are always available, always relevant, and always scalable. The Data Engineer is responsible for designing, developing, and maintaining complex data solutions, with an emphasis on Microsoft Azure pipelines. This role will develop robust data pipelines to produce enterprise-wide data assets to support data initiatives. GREENSTATE CULTURE: At GreenState, our purpose is to create lasting value for our members, our communities, and one another. We empower our teams to create opportunities that strengthen financial well-being, transform lives, and enhance the vitality of the communities we serve. We know our success—now and in the future—is deeply rooted in fostering an engaging, diverse, and inclusive workplace where everyone knows they matter, their work makes an impact, and their everyday commitment to living our values is what brings our mission to life. Salary range for this position is $119,078.70 - $139,216.74 with a progressive benefit package. Responsibilities Performs essential duties and responsibilities in the following areas which may include but are not limited to those listed and are subject to change. Adheres to the Credit Union's core values and Service Standards in conducting GreenState's mission and vision. Demonstrates a positive member service (internal and external) focus at all times. Demonstrates teamwork in all interactions with coworkers and in the completion of all duties and responsibilities. Ensures confidentiality of member information. Supports a diverse and inclusive work environment. Develops comprehensive data pipelines using Azure Data Factory, Power BI and other tools Creates advanced data models and ETL processes across multiple enterprise systems Implements data governance and quality control mechanisms Designs and maintains complex data transformations using languages such as Python, Spark, SQL, M, DAX and more Develops, maintains and optimizes data solutions Collaborates with business stakeholders to translate complex business requirements into technical solutions Performs advanced data cleansing and preparation techniques Supports performance optimization of business units' solutions Strong attention to detail Ability to take initiative and solve problems independently Maintains excellent communication with the Credit Union team and the rest of the organization. Plays a vital role in enriching the community by participating in community service organizations and/or credit union sponsored events, on an annual basis. Performs other duties as assigned. Qualifications Bachelor's Degree in Computer Science, Data Engineering, or related field 4 to 6 years of experience in data engineering and business intelligence Advanced proficiency in: ETL processes, specifically in Azure cloud services Power BI Python SQL Strong understanding of data modeling and warehouse design Experience with cloud data architectures Excellent analytical and problem-solving skills Financial services industry experience preferred Reporting Relationship This position reports to the Director Data & Analytics. Supervisory Responsibilities This position is not responsible for the supervision of others. Equal Opportunity Employment Statement GreenState Credit Union is an EEO/AA Employer. We strongly encourage all individuals to apply for openings with the credit union. #ID

Location Designation: Hybrid - 3 days per week Technology, Data, AI And Ventures Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees while delivering measurable business outcomes. Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader, access to leading-edge technologies and the opportunity to help shape how a world-class financial services company competes in the AI era - all backed by the stability and purpose of a mutual company built to last. Role Overview Join New York Life's Data Engineering team and help deliver clean, well-structured, and reliable data that powers business, analytics, and AI solutions across the enterprise. In this role, you will design and maintain scalable data pipelines, contribute to data and engineering standards, and partner with data scientists, technology teams, and business stakeholders to make enterprise data more accessible and valuable. You will apply modern data engineering practices and technologies, including dbt, PySpark, AWS Glue, Databricks, and Kafka, while helping ensure data solutions meet expectations for quality, consistency, governance, and scalability. What You'll Do Build and maintain scalable data models and pipelines using dbt, PySpark, AWS Glue, Databricks, and streaming technologies to deliver clean, reliable, and well-structured data for analytics, data science, and AI use cases. Apply software engineering best practices across data development, including version control, testing, integration, code reviews, and pull request approvals, to promote quality and consistency. Partner with data scientists, business stakeholders, and data stewards to source strategic enterprise data, address data quality and availability needs, and align solutions with data governance standards. Translate business and technical requirements into actionable development plans and Jira stories, establish milestones, and manage work through delivery. Collaborate with Technology teams on data strategy, tooling, system integrations, and deployment processes while clearly communicating technical concepts and recommendations to diverse stakeholders. What You'll Bring Required Skills 2–5+ years of relevant data engineering or related experience, including hands-on experience building and maintaining dbt data models and transformation pipelines. Proficiency with AWS Glue, including ETL development, job orchestration, and catalog integration, and experience using PySpark for data processing. Strong working knowledge of Databricks, including SQL, notebooks, and distributed data processing. Experience with Kafka or comparable streaming technologies for real-time data ingestion and processing. Strong analytical and problem-solving skills, with the ability to troubleshoot complex data and engineering issues and develop practical solutions. Effective communication and collaboration skills, with the ability to work across technical and business teams and explain technical concepts to varied audiences. Preferred Skills Experience with Google Cloud Platform (GCP) or related cloud data technologies. Experience working in the insurance, financial services, or another regulated industry. Experience partnering with data science teams to support analytics, machine learning, or AI use cases. Job Level: LEVELPF2 Pay Transparency Salary Range: $81,000-$115,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program. Company Overview At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact. Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you'll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress. As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what's next, and your growth powers it. Our Benefits We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site. Our Commitment to Inclusion At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space. Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com. Job Requisition ID: 95121

About SonderMind At SonderMind, we believe everyone deserves one personalized, connected, and effective mental health destination to take care of their mental health and well-being at any stage of life. SonderMind care encompasses everything from therapy and medication management to meditation and mindfulness exercises. Our clinicians leverage our digital tools and research to deliver increasingly high-quality care and to develop thriving practices. Combining technology and human connection, SonderMind drives better outcomes through our comprehensive approach. Learn more about SonderMind at sondermind.com or download the mobile app, available on iOS and Android. To follow the latest SonderMind news, get to know our clients, and learn about what it's like to work at SonderMind, you can follow us on Instagram, Linkedin, and Twitter. Additionally, we expect all team members to effectively leverage modern AI technologies as part of their everyday workflow, and to continuously adapt as new tools emerge. Familiarity with job-relevant AI platforms such as Gemini, ChatGPT, Claude, GitHub Copilot or other industry-standard AI productivity tools is expected and considered essential for success at this company. About The Role We are hiring a Senior Staff Data Engineer to play a senior technical leadership role on SonderMind's Data Platform team. This role focuses on designing, building, and evolving the data systems that support analytics, experimentation, machine learning, and clinical outcomes across the business. As a Senior Staff Data Engineer you will operate with a high degree of ownership and autonomy. You will be responsible not only for delivering reliable data infrastructure, but also for shaping technical direction, establishing best practices, and enabling other teams to move faster with high-quality, trusted data; while operating within the constraints of a regulated healthcare environment. What You'll Do Design, build, and maintain core data pipelines and infrastructure that power analytics, experimentation, machine learning and AI fine tuning and agentic use cases across product, clinical, and operations teams. Own data architecture decisions related to ingestion, transformation, storage, and serving layers, with a focus on scalability, reliability, cost efficiency, and maintainability. Establish and enforce data quality, observability, and reliability standards, including SLAs, monitoring, alerting, and incident response practices for critical datasets. Partner closely with analytics, data science, and product engineering teams to understand data needs and translate them into well-designed, reusable data models and pipelines. Lead technical initiatives and drive best practices across the data engineering team, including code quality, testing, documentation, and data contracts. Ensure data systems meet privacy, security, and compliance requirements, with a strong understanding of handling sensitive mental health and healthcare data. Mentor and support other data engineers, providing technical guidance, design feedback, and helping raise the overall engineering bar. Support other responsibilities and ad-hoc projects as needed based on evolving business and platform needs. What does success look like? First 3–6 Months: Develop a strong understanding of SonderMind's data landscape, key business use cases, and regulatory constraints. Take ownership of critical pipelines or platform components and begin making meaningful improvements to reliability and clarity. Build trust with analytics, data science, and engineering partners through consistent delivery and thoughtful technical decisions. Continued Success in the Role Data pipelines are reliable, observable, and well understood, with fewer surprises and faster issue resolution. Teams across the company are able to move faster because data is accessible, well modeled, and trusted. Technical decisions scale well over time and reduce long-term maintenance and operational burden. You influence platform direction beyond your own code by raising standards and helping others make better technical choices. How Performance Is Measured Reliability and quality of core data systems, including uptime, freshness, and accuracy. Impact on team velocity and downstream consumers, including analytics, ML, AI, and product. Technical leadership and influence across the data organization. Alignment with SonderMind's career competencies, including ownership, collaboration, and thoughtful problem-solving. Who You Are Qualifications: 8+ years of experience in data engineering, platform engineering, or backend engineering roles. Strong proficiency in SQL and at least one general-purpose programming language (Python strongly preferred). Hands-on experience building and maintaining production data pipelines at scale. Experience working with modern data platforms, including cloud data warehouses, orchestration tools, and transformation frameworks. Strong understanding of data modeling, pipeline reliability, and system design trade-offs. Proven ability to work cross-functionally and translate business needs into effective technical solutions. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Preferred (Not Required) : Experience in healthcare, mental health, or other regulated environments. Familiarity with streaming or event-driven data systems. Experience supporting machine learning or experimentation workflows. Exposure to data governance, privacy, or compliance frameworks. Our Benefits The anticipated salary range for this role is $180,000 - $200,000 . Final compensation will be determined based on a variety of factors, including relevant experience, skills, education, and past performance. As leaders in redesigning behavioral health, we walk the walk with our employees' benefits. We want the experience of working at SonderMind to accelerate people's careers and enrich their lives, so we focus on meeting SonderMinders wherever they are and supporting them in all facets of their lives and work. Our benefits include: A generous PTO policy, with a minimum of three weeks off per year A holiday schedule that follows standard U.S. holidays Free therapy coverage benefits to ensure employees have access to the care they need (must be enrolled in a qualifying medical plan to participate) Competitive Medical, Dental, and Vision coverage, with plans to meet every need — including HSA (with $1,100 company contribution) and FSA options Employer-paid short-term disability, long-term disability, life & AD&D, plus coverage of the salary difference for up to seven weeks of short-term disability leave (after the required waiting period) Eight weeks of paid Parental Leave; if the parent also qualifies for STD, this benefit is in addition, allowing for 8–16 weeks of paid leave 401(k) retirement plan with 100% match on up to 4% of base salary, immediately vested Join teammates from across the country at our annual company gathering Company shutdown between Christmas and New Year's Supplemental life insurance, pet insurance, commuter benefits, and more Application Deadline This position will be an ongoing recruitment process and will be open until filled. Equal Opportunity SonderMind does not discriminate in employment opportunities or practices based on race, color, creed, sex, gender, gender identity or expression, pregnancy, childbirth or related medical conditions, religion, veteran and military status, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition (including genetic information or characteristics), sexual orientation, or any other characteristic protected by applicable federal, state, or local laws.

Job Number: R0251772 Software Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence. As a Data Engineer at Booz Allen, you'll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that organize and make disparate data meaningful. If you're ready to deepen your expertise in Databricks, Maven Smart System ( MSS ) , and Foundry, contribute to modernizing data ecosystems across the DoD, and work on meaningful national security-related missions, there's a place for you at Booz Allen. This position is located in Honolulu, HI. Work with us to use data for good. Join us. The world can't wait. You Have: 2+ years of experience building data pipelines in Databricks, including PySpark, Delta Live Tables, or Unity Catalog Experience integrating and transforming data within Palantir Foundry or Maven Smart System (MSS) environments Experience designing and maintaining ETL and ELT pipelines across distributed compute platforms Experience analyzing and managing data, including data visualization, data management, data governance, data strategy, and data engineering Experience creating solutions within a collaborative, cross-functional team environment Secret clearance Bachelor's degree Nice If You Have: Experience with the Department of War (DoW) Experience migrating legacy ETL logic into modern cloud platforms, including Databricks, Foundry, or Fabric Experience building business analytic visualizations Experience working on Agile teams Experience with process improvement approaches and methodologies Ability to synthesize results and deliver presentations to product owners or stakeholders Ability to learn quickly and adapt to changing organizational processes Top Secret clearance Databricks or Foundry Use Case Engineer Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role. Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

About SonderMind At SonderMind, we believe everyone deserves one personalized, connected, and effective mental health destination to take care of their mental health and well-being at any stage of life. SonderMind care encompasses everything from therapy and medication management to meditation and mindfulness exercises. Our clinicians leverage our digital tools and research to deliver increasingly high-quality care and to develop thriving practices. Combining technology and human connection, SonderMind drives better outcomes through our comprehensive approach. Learn more about SonderMind at sondermind.com or download the mobile app, available on iOS and Android. To follow the latest SonderMind news, get to know our clients, and learn about what it's like to work at SonderMind, you can follow us on Instagram, Linkedin, and Twitter. Additionally, we expect all team members to effectively leverage modern AI technologies as part of their everyday workflow, and to continuously adapt as new tools emerge. Familiarity with job-relevant AI platforms such as Gemini, ChatGPT, Claude, GitHub Copilot or other industry-standard AI productivity tools is expected and considered essential for success at this company. About The Role We are hiring a Senior Staff Data Engineer to play a senior technical leadership role on SonderMind's Data Platform team. This role focuses on designing, building, and evolving the data systems that support analytics, experimentation, machine learning, and clinical outcomes across the business. As a Senior Staff Data Engineer you will operate with a high degree of ownership and autonomy. You will be responsible not only for delivering reliable data infrastructure, but also for shaping technical direction, establishing best practices, and enabling other teams to move faster with high-quality, trusted data; while operating within the constraints of a regulated healthcare environment. What You'll Do Design, build, and maintain core data pipelines and infrastructure that power analytics, experimentation, machine learning and AI fine tuning and agentic use cases across product, clinical, and operations teams. Own data architecture decisions related to ingestion, transformation, storage, and serving layers, with a focus on scalability, reliability, cost efficiency, and maintainability. Establish and enforce data quality, observability, and reliability standards, including SLAs, monitoring, alerting, and incident response practices for critical datasets. Partner closely with analytics, data science, and product engineering teams to understand data needs and translate them into well-designed, reusable data models and pipelines. Lead technical initiatives and drive best practices across the data engineering team, including code quality, testing, documentation, and data contracts. Ensure data systems meet privacy, security, and compliance requirements, with a strong understanding of handling sensitive mental health and healthcare data. Mentor and support other data engineers, providing technical guidance, design feedback, and helping raise the overall engineering bar. Support other responsibilities and ad-hoc projects as needed based on evolving business and platform needs. What does success look like? First 3–6 Months: Develop a strong understanding of SonderMind's data landscape, key business use cases, and regulatory constraints. Take ownership of critical pipelines or platform components and begin making meaningful improvements to reliability and clarity. Build trust with analytics, data science, and engineering partners through consistent delivery and thoughtful technical decisions. Continued Success in the Role Data pipelines are reliable, observable, and well understood, with fewer surprises and faster issue resolution. Teams across the company are able to move faster because data is accessible, well modeled, and trusted. Technical decisions scale well over time and reduce long-term maintenance and operational burden. You influence platform direction beyond your own code by raising standards and helping others make better technical choices. How Performance Is Measured Reliability and quality of core data systems, including uptime, freshness, and accuracy. Impact on team velocity and downstream consumers, including analytics, ML, AI, and product. Technical leadership and influence across the data organization. Alignment with SonderMind's career competencies, including ownership, collaboration, and thoughtful problem-solving. Who You Are Qualifications: 8+ years of experience in data engineering, platform engineering, or backend engineering roles. Strong proficiency in SQL and at least one general-purpose programming language (Python strongly preferred). Hands-on experience building and maintaining production data pipelines at scale. Experience working with modern data platforms, including cloud data warehouses, orchestration tools, and transformation frameworks. Strong understanding of data modeling, pipeline reliability, and system design trade-offs. Proven ability to work cross-functionally and translate business needs into effective technical solutions. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Preferred (Not Required) : Experience in healthcare, mental health, or other regulated environments. Familiarity with streaming or event-driven data systems. Experience supporting machine learning or experimentation workflows. Exposure to data governance, privacy, or compliance frameworks. Our Benefits The anticipated salary range for this role is $180,000 - $200,000 . Final compensation will be determined based on a variety of factors, including relevant experience, skills, education, and past performance. As leaders in redesigning behavioral health, we walk the walk with our employees' benefits. We want the experience of working at SonderMind to accelerate people's careers and enrich their lives, so we focus on meeting SonderMinders wherever they are and supporting them in all facets of their lives and work. Our benefits include: A generous PTO policy, with a minimum of three weeks off per year A holiday schedule that follows standard U.S. holidays Free therapy coverage benefits to ensure employees have access to the care they need (must be enrolled in a qualifying medical plan to participate) Competitive Medical, Dental, and Vision coverage, with plans to meet every need — including HSA (with $1,100 company contribution) and FSA options Employer-paid short-term disability, long-term disability, life & AD&D, plus coverage of the salary difference for up to seven weeks of short-term disability leave (after the required waiting period) Eight weeks of paid Parental Leave; if the parent also qualifies for STD, this benefit is in addition, allowing for 8–16 weeks of paid leave 401(k) retirement plan with 100% match on up to 4% of base salary, immediately vested Join teammates from across the country at our annual company gathering Company shutdown between Christmas and New Year's Supplemental life insurance, pet insurance, commuter benefits, and more Application Deadline This position will be an ongoing recruitment process and will be open until filled. Equal Opportunity SonderMind does not discriminate in employment opportunities or practices based on race, color, creed, sex, gender, gender identity or expression, pregnancy, childbirth or related medical conditions, religion, veteran and military status, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition (including genetic information or characteristics), sexual orientation, or any other characteristic protected by applicable federal, state, or local laws.

Description The Amazon Security Experiences (ASE) organization is the data intelligence backbone of Amazon Security. We build and operate the data platform that powers security insights, builder experience analytics, and tooling decisions across Amazon's security ecosystem. Every insight surfaced to security leadership, from builder productivity trends to security issue quality metrics, flows through systems our team designs, builds, and maintains. We operate at scale, processing large volumes of security and operational data daily through hundreds of pipelines consisting of transformations, reporting queries, ingestions, and infrastructure management scripts. Our engineers work directly with source systems across AWS and SDO (Security, Developer, and Operations) data domains to procure data, convert it into structured formats, build large-scale processing pipelines, design analytical data models, and maintain infrastructure with the highest security and compliance standards. We are seeking a Data Engineer I to join our Security Data Intelligence (SDI) team. In this role, you will build and maintain data pipelines that power security analytics across Amazon. Working with well-defined requirements and guidance from senior engineers, you will create physical data models, optimize data pipelines for defined datasets, and deliver reliable, well-documented solutions on schedule. You will partner with teams across ASE, BizOps, MapSec, and other security organizations to implement data ingestion flows and support analytical models that serve the broader Amazon Security organization. Key job responsibilities Learn and apply team-established data processing guidelines and best practices when building and testing pipelines. Measure and improve dataset quality across owned pipelines, identifying issues and proposing solutions to the team. Flag limitations or opportunities in data processing tools to senior engineers for evaluation. Learn and understand the team's existing data architecture, including how security data flows through ingestion, transformation, and serving layers. Build data solutions at the component level within the established team data architecture, following defined logical data models. Create physical data models for assigned datasets, applying appropriate persistence and integration techniques. Understand the implications of implementation decisions (e.g., normalization, distribution) and seek guidance from senior engineers on trade-offs. Write secure, stable, testable, and maintainable code with minimal defects, following team coding standards. Clearly document solutions for ease of use and maintainability by teammates and data consumers. Get all data models, pipeline designs, and code reviewed by senior engineers before deployment. Test code thoroughly and understand the maintenance characteristics, runtime properties, and dependencies of delivered solutions. Build and maintain data pipeline infrastructure for assigned datasets using team-established patterns and tools. Apply basic database optimization techniques such as partitioning, distribution, and indexing as directed. Understand the underlying system infrastructure that data solutions depend on, including differences between data persistence solutions. Follow team guidelines for infrastructure management, security compliance, and automation practices. Solve straightforward, well-defined problems with guidance from senior engineers, for example, building ingestion pipelines for a new security data source where the schema and requirements are defined, or troubleshooting data quality issues in existing datasets by researching root causes and thoroughly resolving defects. Handle problems even outside your own domain by either resolving them or ensuring a clear hand-off to the right owner. Take well-defined requirements and deliver solutions on schedule within assigned scope. Participate in team design, scoping, and prioritization discussions to understand project context. Manage your own task execution effectively, seeking guidance when blocked or uncertain. Communicate progress and dependencies clearly to your team lead and senior engineers. Build good working relationships with teammates, peer engineers, and data consumers across ASE and SDO. Partner effectively with Business Analysts, Data Scientists, and peer SDEs to understand data requirements. Help train and mentor DE interns when applicable. Participate in the interview process. Recognize discordant views and participate in constructive dialogue with peers. Follow team-established best practices for data discovery, naming conventions, and data security. Classify, store, and handle data per Amazon security and compliance policies. Ensure proper access control, data integrity, and auditability for all produced datasets. Track security risks in data handling, mitigate issues, and escalate in a timely manner. Identify data quality issues and pipeline deficiencies in owned components and propose solutions to the team. Participate in code reviews, design discussions, and team planning sessions. Make small improvements to team development processes when directed. Actively seek knowledge of team data architecture and apply learnings to improve your data solutions. Participate in on-call rotation and respond to pipeline incidents following established runbooks and escalation procedures. Understand the maintenance characteristics, runtime properties, and dependencies of team data systems. Contribute to monitoring and alarming setup for owned pipelines with guidance from senior engineers. Document incident resolutions and contribute to runbook updates for owned components. Basic Qualifications 2+ 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, Seattle - 101,300.00 - 160,000.00 USD annually Company Amazon.com Services LLC Job ID: A10582746

Big Data Engineer Mississauga, ON Hybrid(3 days office per week) Fulltime Job Description: JD: Develop and maintain scalable data pipelines using PySpark and Spark SQL for processing large datasets efficiently. Write clean, reusable, and optimized code in Python for data manipulation, analysis, and automation tasks. Design and implement ETL workflows to extract, transform, and load data from various structured and unstructured sources. Collaborate with data engineers, analysts, and stakeholders to understand data requirements and deliver solutions. Optimize Spark jobs for performance tuning, resource utilization, and minimizing execution time. Work with distributed computing frameworks to process and analyze big data in a cloud or on-premises environment. Develop and maintain unit tests to ensure the accuracy and reliability of data pipelines and transformations. Utilize Spark SQL for querying and managing large datasets stored in distributed systems like Hadoop or cloud storage. Monitor and troubleshoot data pipeline issues, ensuring reliability and timely delivery of data. Stay updated with the latest advancements in PySpark, Spark SQL, and big data technologies to improve existing systems. Pay: $100,000.00-$130,000.00 per year Benefits: Flexible schedule Experience: Big Data: 6 years (required) SQL: 5 years (required) PySpark: 1 year (required) Work Location: Hybrid remote in Mississauga, ON (L5B)

Job Number: R0251622 Databricks Data Engineer, Lead The Opportunity: As a lead Databricks Data Engineer, you will be hands-on designing, building, and maintaining robust data pipelines within Databricks and contributing independently while also providing technical leadership and mentorship within the team. Your key responsibilities will include creating and optimizing end-to-end data flows, handling extract, transform, load (ETL) processes, designing data models, ensuring data security and compliance, collaborating with cross-functional teams, and continuously improving performance and scalability. Your experience in both Databricks and AWS environments and services will position you as a technical team leader. Your expertise will bridge the gap between raw data and actionable insights, enabling efficient data processing and analytics across the business. Here, you'll mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll use your expertise in analytical exploration and data examination while you oversee the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can't wait. You Have: 8+ years of experience designing, developing, deploying, and managing ETL processes and data pipelines utilizing comprehensive logging and robust error handling mechanisms to troubleshoot and resolve issues 3+ years of experience building, debugging, and optimizing data pipelines using Databricks notebooks, clusters, and job orchestration tools using Databricks tools such as Delta Lake, Databricks Delta, and Unity Catalog 3+ years of experience writing Python and PySpark code for ETL scripts and custom transformations Experience in data modeling, including when to use dimensional vs relation data models within a medallion architecture, including Bronze, Silver, or Gold Experience using various AWS services, including AWS Glue, Amazon S3, Amazon RDS Knowledge of performance optimization techniques for ETL jobs such as partitioning, bucketing, caching, and troubleshooting to improve query performance Ability to design and implement data models from initially defining schemas to optimizing data structures that support efficient queries and analytics Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements Bachelor's degree in Computer Science, Computer Engineering, Engineering, Mathematics, Physics, Information Systems, or Information Technology Nice If You Have: Experience with AWS cloud-native data services such as AWS Lambda or CloudWatch that support serverless architectures for data processing Experience with tools such as AWS Glue Data Catalog or Collibra for managing metadata, data lineage, and cataloging data assets Knowledge of data governance practices, data lineage, and compliance requirements, including GDPR or CCPA, in support of data quality, privacy, and security Ability to explain complex technical concepts to a non-technical audience, including describing tradeoffs in architectural design Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role. Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.