Data Engineer III, AWS Marketplace Demand Generation & Lifecycle Engagement

Amazon Web Services is expanding its B2B Marketing data science capabilities for AWS Marketplace, and this role is a foundational hire: the first dedicated data engineer embedded with the team. You will establish and own the data infrastructure that supports production machine learning and analytics across the full ML lifecycle, from ingestion and feature engineering through scoring, output delivery, and reporting.

Located onsite in Seattle, WA, this position will help turn existing production ML models and live pipelines into a scalable, durable architecture that enables new measurement and customer economics capabilities.

What you’ll do

• Design, build, and operate production data pipelines that support ML models and analytics, including feature engineering, model scoring infrastructure, output delivery, and data quality enforcement.
• Define and own the team’s data architecture, making trade-offs across speed vs. durability, cost vs. scalability, and short-term delivery vs. long-term maintainability.
• Build and maintain analytical datasets that stitch together product activity, marketing engagement, customer transactions, and revenue data into query-ready models for analysis beyond what is currently possible.
• Produce well-documented, maintainable code designed for other engineers to extend, establishing patterns and templates that raise the quality bar across data work.
• Partner with data scientists, marketers, and cross-functional engineering teams to gather requirements, define data contracts, influence upstream data producers, and enable downstream consumers to self-serve.

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, such as Python, Java, Scala, or NodeJS.
• Experience mentoring team members on best practices.

Tools and technologies

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

Benefits

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

Preferred qualifications

• Experience with big data technologies such as Hadoop, Hive, Spark, EMR.
• Experience operating large data warehouses.

Team context

This is a data science team within the B2B Marketing organization of AWS Marketplace, AWS’s digital catalog where customers discover, evaluate, and purchase third-party software. The team builds measurement, targeting, and intelligence systems that power marketing decisions including multi-touch attribution models, ML-powered targeting engines, customer unit economics frameworks, experimentation platforms, and partner intelligence systems. The team’s goal is to build an end-to-end intelligent B2B marketing platform with data science and AI at the core of each decision.

Salary: USD 154,600 - 209,100 per year.