Data Engineer III, AWS Marketplace Demand Generation & Lifecycle Engagement

Amazon.com Services LLC; Herndon (VA); On-site; USD 155,000 - 209,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Sign-on payments

Restricted stock units (RSUs)

Job summary

Amazon.com Services LLC in Herndon, VA is seeking a senior data engineer to join the AWS Marketplace B2B Marketing embedded data science team. You will design and operate production data pipelines for ML models and analytics, connecting product activity, marketing engagement, and revenue.

You’ll partner with data scientists, marketers, and engineers to define data contracts, ensure data quality, and deliver self-serve data assets. Onsite role with strong compensation and RSUs.

Qualifications

• 5+ years of data engineering experience.
• Experience with data modeling, warehousing, and ETL pipelines.
• SQL proficiency.
• Experience in Python, Java, Scala, or NodeJS.
• Experience mentoring team members.

Responsibilities

• Design, build, and operate production data pipelines that power ML models and analytics, including feature engineering, model scoring infrastructure, output delivery, and data quality enforcement.
• Define and own the team’s data architecture, balancing speed versus durability, cost versus scalability, and short-term delivery versus long-term maintainability.
• Build and maintain analytical datasets that join product activity, marketing engagement, customer transactions, and revenue data into query-ready models for analyses.
• Deliver well-documented, maintainable code that others can extend, establishing patterns and templates to raise the standard for data work on the team.
• Collaborate with data scientists, marketers, and cross-functional engineering teams to gather requirements, define data contracts, influence upstream data producers, and support downstream self-service.

Skills

Data engineering

Data modeling

Warehousing

ETL pipelines

SQL

Python

Java

Scala

NodeJS

Mentoring

Tools

Hadoop

Hive

Spark

EMR

Job description

Amazon Web Services Marketplace is building measurement, targeting, and intelligence capabilities that help B2B marketers make decisions backed by data science and machine learning. In this onsite role in Herndon, VA, you’ll serve as the first dedicated data engineer on an AWS Marketplace B2B Marketing embedded data science team, establishing the foundations for production data infrastructure across the full ML lifecycle.

As a senior contributor, you will design and operate data pipelines that support ML models and analytics, define data architecture trade-offs, and build query-ready datasets that connect product activity, marketing engagement, customer transactions, and revenue. You’ll also partner closely with data scientists, marketers, and engineering teams to align on requirements, set data contracts, and ensure downstream consumers can self-serve.

What you’ll do

• Design, build, and operate production data pipelines that power ML models and analytics, including feature engineering, model scoring infrastructure, output delivery, and data quality enforcement.
• Define and own the team’s data architecture, balancing speed versus durability, cost versus scalability, and short-term delivery versus long-term maintainability.
• Build and maintain analytical datasets that join product activity, marketing engagement, customer transactions, and revenue data into query-ready models for analyses not previously possible.
• Deliver well-documented, maintainable code that others can extend, establishing patterns and templates to raise the standard for data work on the team.
• Collaborate with data scientists, marketers, and cross-functional engineering teams to gather requirements, define data contracts, influence upstream data producers, and support downstream self-service.

Day-to-day scope

• Own end-to-end coverage across the ML lifecycle: ingestion from multiple data platforms, feature engineering for training, production pipeline deployment, model output delivery, and a reporting layer that makes results consumable.
• Work through both well-scoped problems and ambiguous situations where you help define the execution path.
• Operate across multiple disciplines including data modeling, pipeline engineering, infrastructure automation, and direct partnership with data scientists on new production AI systems.

Required qualifications

• 5+ years of data engineering experience
• Experience with data modeling, warehousing, and building ETL pipelines
• SQL experience
• Experience in at least one modern scripting or programming language: Python, Java, Scala, or NodeJS
• Experience mentoring team members on best practices

Technologies you’ll work with

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

Preferred qualifications

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

Compensation and location

Location: Herndon, VA (onsite). Salary: USD 154,600 - 209,100 per year.

Benefits

• 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
• Sign-on payments
• Restricted stock units (RSUs)

About the team

This role sits within the data science team of the B2B Marketing organization of AWS Marketplace, the AWS digital catalog where customers discover, evaluate, and purchase third-party software. The team builds systems that support marketing decisions, including multi-touch attribution models, ML-powered targeting engines, customer unit economics frameworks, experimentation platforms, and partner intelligence systems. The goal is an end-to-end intelligent B2B marketing platform where data science and AI are central to decision-making.