Amazon Live is hiring a Data Engineer for the DESA team in Seattle, WA (onsite). In this role, you will design durable data architecture and build reusable, ML-ready data assets that support executive reporting, model training, and downstream machine learning features.
Responsibilities
- Design and build a content metadata layer that unifies broadcast events, product catalog data, creator profiles, and show metadata into reusable assets for dashboards and models.
- Create cross-session shopper profile datasets by sessionizing event data across visits and computing rolling engagement metrics such as frequency, recency, depth, and conversion lag.
- Build integration pipelines connecting retail catalog and advertising performance data into the Amazon Live platform to expand analytics and ML capabilities.
- Produce structured, ML-ready datasets that support Applied Scientists’ models and provide features for downstream ranking and personalization systems.
- Own data quality through proactive monitoring and anomaly detection to reduce issues before they impact consumers.
- Advance ETL platform maturity by improving CI/CD for ETL (BDT/Maestro), standardizing deployments, and using AI-assisted code generation and review.
- Partner with Applied Scientists, MLEs, DEs, and the BIE to align data assets with model, serving, and reporting requirements.
Requirements
- 3+ years of data engineering experience.
- Experience with data modeling, warehousing, and building ETL pipelines.
- Experience with SQL.
- Experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
- Experience with non-relational databases or data stores such as object storage, document or key-value stores, graph databases, or column-family databases.
Technologies
- SQL
- AWS
- Redshift
- S3
- AWS Glue
- EMR
- Kinesis
- FireHose
- Lambda
- IAM
Benefits
- Health insurance (medical, dental, vision, prescription), Basic Life & AD&D, 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
- Sign-on payments
- Restricted Stock Units (RSUs)
A Day in the Life
You will work across the data lifecycle and move quickly across varied priorities, including designing denormalized content metadata assets alongside an Applied Scientist to unblock a new model, integrating retail or advertising data sources, strengthening CI/CD for pipelines, adding data-quality alarms, and packaging features for distribution teams’ ranking systems.
You will collaborate daily with scientists, MLEs, DEs, and the BIE to scope what to build and how it will be consumed. The team also uses self-serve analytics agents and agentic operational tooling to accelerate execution, with opportunities to extend that tooling as the platform grows.
About the Team
The DESA team owns the data platform, analytics, and sciences for Amazon Live and Shop the Show. It is a compact, senior, high-trust group where DEs own infrastructure and foundational data assets, the BIE owns executive reporting, and Applied Scientists and MLEs own the models, experiments, and signals that turn data into product value. Collaboration across these boundaries is central to the team’s approach.
As a Data Engineer, you will own forward-looking data architecture: a durable, reusable foundation for the intelligence layer. You will build datasets that function as shared org infrastructure, including inputs to attribution models for partner teams, ranking features for distribution, and the reporting the business relies on.
Role Details
- Location: Seattle, WA (onsite)
- Salary: USD 132,100 - 178,800 per year
- Experience: 3+ years
