Senior Data Engineer, Selling Partner Insights and Analytics

Join Amazon’s Selling Partner Insights and Analytics (SPIA) team to architect and evolve AWS data infrastructure for Paragon, combining hands-on engineering with technical leadership.

Responsibilities

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

Requirements

• 5+ years of data engineering experience
• Experience with data modeling, warehousing, and building ETL pipelines
• SQL experience
• Experience with at least one modern scripting or programming language, such as 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 and operating highly available, distributed systems for data extraction, ingestion, and processing of large datasets
• Experience providing technical leadership and mentoring engineers on best practices for data engineering
• Experience communicating with business users, technical teams, and senior leadership to gather requirements and describe data modeling decisions and data engineering strategy

Technologies

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

Location

• Seattle, WA (onsite)

Compensation

• USD 154,600 - 209,100 per year

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance including medical, dental, vision, prescription, Basic Life & AD&D, plus option for Supplemental life plans
• EAP and 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
• Mornings may include reviewing pipeline health dashboards, triaging data quality issues, or pairing with teammates on complex ETL problems
• Afternoons often focus on design discussions with partner teams, reviewing architecture proposals, or sharing data strategy updates with senior leadership
• Regularly evaluate how team data solutions can evolve to support agentic AI workloads and recommend architectural changes that shape 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, helping them move faster with more confidence
• Building the data foundation for current analytical needs and tomorrow’s AI-powered experiences
• Datasets, models, and pipelines influence decisions that impact millions of customers and sellers daily
• Clear growth path toward team lead responsibilities, engagement with senior leadership, and support for transitioning the data platform into the agentic AI era