Senior Data Engineer, Selling Partner Insights and Analytics
Job Description
Join the SPIA team at Amazon where your work helps shorten the path from data to insight for 200+ internal customer teams across Selling Partner Support. This role focuses on building and evolving the AWS data infrastructure behind reporting, analytics, machine learning, and agentic AI experiences, with a mix of hands-on engineering and technical leadership.
Location: Seattle, WA (onsite)
Compensation: USD 154,600 - 209,100 per year
Experience: 5+ years
What you’ll do
- Design and operate scalable, cost-effective data pipelines and infrastructure on AWS, curating datasets for reporting, analytics, and machine learning models.
- Define logical data models and architectures that support worldwide growth by anticipating data access patterns and removing bottlenecks early.
- Lead design reviews and collaborate with directors, VPs, and cross-functional partners to align data architecture with business strategy and long-term technical direction.
- Establish and maintain data engineering standards across modeling, lineage, governance, and operational reliability to ensure consistency and data quality.
- Coach and mentor other data engineers, strengthening both individual growth and the team’s technical capabilities.
Key responsibilities through your day
- Balance hands-on engineering with technical leadership.
- Review pipeline health dashboards, triage data quality issues, and pair on complex ETL problems.
- Drive architecture discussions with partner teams and share data strategy updates with senior leadership.
- Continuously evaluate how data solutions can evolve to support agentic AI workloads, contributing architectural recommendations that influence the roadmap.
What you bring
- 5+ years of data engineering experience.
- Experience with data modeling, warehousing, and building ETL pipelines.
- Experience with SQL.
- Experience with at least one modern scripting or programming language: Python, Java, Scala, or NodeJS.
- Experience mentoring team members on best practices.
Preferred qualifications
- Experience with big data technologies such as Hadoop, Hive, Spark, and EMR.
- Experience operating large data warehouses.
- Master’s degree in computer science, engineering, analytics, mathematics, statistics, IT, or equivalent.
- Experience building or operating highly available, distributed systems for data extraction, ingestion, and processing of large datasets.
- Experience providing technical leadership and mentoring other engineers on data engineering best practices.
- Experience communicating with business users, technical teams, and senior leadership to gather requirements and communicate data modeling decisions and data engineering strategy.
Tools you may work with
AWS, SQL, Python, Java, Scala, NodeJS, Hadoop, Hive, Spark, EMR
Benefits
- Sign-on payments
- Restricted stock units (RSUs)
- 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
About the team
SPIA’s mission is to help internal teams move faster and act with more confidence by building the data foundation for both current analytical needs and tomorrow’s AI-powered experiences. The datasets, models, and pipelines you help create shape decisions that touch millions of customers and sellers every day. This role provides a clear growth path, including opportunities to act as a team lead, engage with senior leadership, and help design the transition of the data platform into the agentic AI era.
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