Senior Data Engineer, Selling Partner Insights and Analytics

Amazon’s Selling Partner Insights and Analytics (SPIA) team is hiring a Senior Data Engineer to architect and evolve AWS data infrastructure for Paragon.

Responsibilities

• Design and operate scalable, cost-effective AWS data pipelines and infrastructure, curating data for reporting, analytics, and machine learning
• Define logical data models and architectures to support worldwide growth by anticipating data access patterns and removing bottlenecks before they affect customers
• Lead data architecture design reviews and collaborate with directors, VPs, and cross-functional partners to align technical direction with business strategy
• Establish and maintain data engineering standards for data modeling, lineage, governance, and operational reliability across systems
• Coach and mentor other data engineers, supporting professional development and strengthening team technical capability

Requirements

• 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

Technologies

• AWS
• SQL
• Python, Java, Scala, NodeJS
• Hadoop, Hive, Spark, EMR

Preferred Qualifications

• Experience with big data technologies: Hadoop, Hive, Spark, EMR
• Experience operating large data warehouses
• Master’s degree in computer science, engineering, analytics, mathematics, statistics, IT, or equivalent
• Experience building and operating highly available, distributed systems for data extraction, ingestion, and processing of large datasets
• Experience providing technical leadership and mentoring engineers on data engineering best practices
• Experience communicating with business users, technical teams, and senior leadership to collect requirements and explain data modeling decisions and data engineering strategy

Location

• Seattle, WA (onsite)

Compensation

• USD 154,600 - 209,100 per year

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance: medical, dental, vision, prescription; Basic Life & AD&D insurance; 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

A Day in the Life

• Split time between hands-on engineering and technical leadership
• Review pipeline health dashboards, triage data quality issues, and pair with teammates on complex ETL problems
• Shift into design discussions with partner teams, review architecture proposals, and share data strategy updates with senior leadership
• Evaluate how team data solutions can evolve to support agentic AI workloads, including architectural recommendations that influence the roadmap

About the Team

• SPIA’s mission is to shorten the path from data to insight for 200+ internal customer teams across Selling Partner Support
• Building the data foundation for current analytics needs and AI-powered experiences
• Datasets, models, and pipelines influence decisions that affect millions of customers and sellers every day
• Clear growth path toward team lead responsibilities, engagement with senior leadership, and helping design the transition of the data platform into the agentic AI era