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Senior Data Engineer, Strategic Partnerships & IMPACT360
- Seattle, Washington, United States
- Seattle, Washington, United States
About
Own the data architecture for your domain areas (e.g., ingestion, entity resolution, vendor relationship modeling) and contribute to broader platform architecture decisions
Deliver with limited guidance where logical data models and end‑to‑end data flows are not yet defined
Onboard and integrate disparate data sources from across Amazon (AWS, Retail, Procurement, Finance, vendor systems); resolve conflicts across inconsistent real‑world data and drive cross‑team alignment on data definitions and ownership
Evolve data sourcing and modeling toward governed, reusable, directly‑consumed data products; drive the migration within your domains without disrupting downstream consumers
Build and operate pipelines across distributed processing, orchestration, and an open‑lakehouse foundation on AWS (e.g., Glue/Spark, Airflow, Iceberg, Athena) governed with Lake Formation and cross‑account IAM
Raise operational excellence: incremental and retry‑safe loads, atomic publication, dependency‑aware scheduling, and data‑quality validation
Design data systems within your scope that serve diverse access patterns (batch analytics, governed BI, ML training datasets)
Partner with the science team to build the data infrastructure for forecasting and reinforcement‑learning work, including feature pipelines, training datasets, decision logs, and reward signals
Drive engineering and operational excellence best practices across the data infrastructure
Mentor and develop peers
Make trade‑offs between short‑term delivery needs and long‑term architectural scalability
Qualifications
5+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with distributed data processing using Spark (or equivalent) and workflow orchestration (e.g., Airflow)
Strong SQL skills and proficiency in at least one scripting language (Python preferred) for data manipulation and pipeline development
Experience designing data schemas and operating data stores in support of analytics and downstream consumers
Experience working with cloud data services (AWS preferred)
Experience with training and deploying machine learning systems to solve large‑scale optimizations, or experience with data infrastructures: relational analytic DBMS, Elastic‑Search, and Big Data EMR/EC2/Glue/Lambda
Experience designing data architecture and end‑to‑end data flows in ambiguous, loosely‑defined problem spaces
Experience with open table formats (Iceberg, Hudi, or Delta Lake) and lakehouse architectures on a cloud object store
Hands‑on experience with the AWS data stack (Glue, Athena, Lake Formation, S3, IAM) and governed cross‑account data sharing
Experience with entity resolution, record linkage, or building unified/“golden” records from inconsistent multi‑source data
Experience partnering with science or ML teams to productionize data for model training and inference
Experience onboarding and integrating data from many disparate source systems, and driving cross‑team alignment on data definitions and ownership
Experience modernizing or re‑architecting legacy data pipelines toward reusable, governed data products
Track record of mentoring engineers and driving operational excellence (data quality, reliability, observability)
Benefits 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. 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.
Equal Opportunity Employment 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.
Location: USA, WA, Seattle – Salary: 154,600.00 – 209,100.00 USD annually
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Languages
- English
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