Amazon · 15 hours ago
Data Engineer, AWS People Analytics
Seattle, Washington, USA
Full-time
Onsite
Senior Level
$132K/yr - $179K/yr
5+ years expAmazon.com Services LLC is seeking an experienced Data Engineer with a passion for data to build products using cloud native technologies for people analytics solutions. The role involves creating and maintaining data infrastructure, developing data pipelines, and enabling intelligent decision-making across HR.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Develop automated and scalable data ingestion and consumption frameworks to build and enhance curated data models that are primarily used in business critical reporting
Collaborate in a cross team environment to drive projects and business initiatives to deliver results
Design and build robust data pipelines that create knowledge bases feeding our Gen AI products
Architect data models organized by subject matter domains to enable efficient reporting capabilities
Build and deploy both batch as well as real-time data pipelines using AWS as the cloud platform running the ETL jobs
Develop data pipelines to fetch internal and external datasets from different types of data sources and curate these datasets with the existing data models
Engineer scalable systems that enable AI agents to autonomously access, process, and act on people data
Integrate diverse data sources spanning employee attributes, workforce planning, recruiting, engagement, retention, development, benefits, and compensation
Lead information architecture initiatives and establish data governance frameworks for the products being developed
Build products that enable AWS business and PXT leaders to self-serve insights through AI-powered interfaces
Qualification
Required
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
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
Benefits
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
Parental leave
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-14
2026-01-14
2026-01-14
Company data provided by crunchbase