• Data Engineer, AWS People Analytics

    Amazon (Seattle, WA)


    Description

    We are seeking an experienced Data Engineer with a passion for data, for building products that are utilizing cloud native technologies to leverage Gen AI to build the next generation of people analytics solutions. In this role, you'll be instrumental in creating/maintaining/enhancing the data infrastructure that powers our data products, build the backend infrastructure including building agentic AI systems, enabling automated, intelligent decision-making across all aspects of HR.

     

    Build products that help AWS make data-driven decisions about our most valuable asset—our people. You'll be building the foundation for autonomous, intelligent HR systems that scale across one of the world's largest and most innovative organizations.

    Key job responsibilities

    1.Develop automated and scalable data ingestion and consumption frameworks to build and enhance curated data models that are primarily used in business critical reporting.

    2. Collaborate in a cross team environment to drive projects and business initiatives to deliver results.

    3. Design and build robust data pipelines that create knowledge bases feeding our Gen AI products.

    4. Architect data models organized by subject matter domains to enable efficient reporting capabilities.

    5. Build and deploy both batch as well as real-time data pipelines using AWS as the cloud platform running the ETL jobs.

    6. Develop data pipelines to fetch internal and external datasets from different types of data sources and curate these datasets with the existing data models.

    7. Engineer scalable systems that enable AI agents to autonomously access, process, and act on people data.

    8. Integrate diverse data sources spanning employee attributes, workforce planning, recruiting, engagement, retention, development, benefits, and compensation.

    9. Lead information architecture initiatives and establish data governance frameworks for the products being developed.

    10. Build products that enable AWS business and PXT leaders to self-serve insights through AI-powered interfaces.

    A day in the life

     

    The ideal candidate is expected to work closely with the business leaders, cross-partner teams including the BI teams and the Science teams to understand their data requirements and develop solutions to server their needs. You will build new end-to-end data engineering solutions with the upmost highest standards, will work with multiple stakeholders across different HR teams, and will build products to solve business needs. A successful candidate will have a passion for innovation, interest in next-generation technology, and excitement about working in a high-impact domain.

    About the team

    The AWS People Analytics (PXT) organization provides the people-data infrastructure and insights that enable AWS to become the World's Best Employer. Our Data Engineering team is at the forefront of leveraging next-generation technologies including Gen AI to transform how AWS business and PXT leaders access data and generate actionable insights to hire, develop, and retain the most skilled and diverse group of builders on earth.

    Basic Qualifications

    - 5+ years of data engineering experience

     

    - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

     

    - Experience with data modeling, warehousing and building ETL pipelines

    Preferred Qualifications

    - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

     

    - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

     

    - Knowledge of distributed systems as it pertains to data storage and computing

     

    Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

     

    Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

     

    The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

     

    USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually