Amazon Web Services Marketplace is building measurement, targeting, and intelligence systems inside B2B Marketing, and this is a foundational role: the first dedicated data engineer on an embedded data science team. You will help shape the data infrastructure behind production machine learning workflows, so marketing intelligence systems can be delivered end-to-end, from ingestion through reporting.
This onsite role is based in Herndon, VA and offers a yearly salary range of USD 154,600 - 209,100. 5+ years of data engineering experience is required.
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, balancing trade-offs such as speed vs. durability, cost vs. scalability, and short-term delivery vs. long-term maintainability.
- Build and maintain analytical datasets that connect product activity, marketing engagement, customer transactions, and revenue into query-ready models for analysis not previously possible.
- Write well-documented, maintainable code that other engineers can extend, establishing patterns and templates to raise the bar for data work across the team.
- Partner with data scientists, marketers, and cross-functional engineering teams to gather requirements, define data contracts, influence upstream data producers, and ensure downstream consumers can self-serve.
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 such as 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 including Hadoop, Hive, Spark, EMR.
- Experience operating large data warehouses.
Benefits
- 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
- Sign-on payments
- Restricted stock units (RSUs)
A day in the life
Your work covers the full ML lifecycle: ingestion from multiple data platforms, feature engineering for model training, production pipeline deployment, model output delivery, and a reporting layer that makes results consumable. Some initiatives are clear and need execution, while others are ambiguous and require you to define the path. You will operate across data modeling, pipeline engineering, infrastructure automation, and collaborate directly with data scientists on systems that are genuinely new.
About the team
This role sits on 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 multi-touch attribution, ML-powered targeting, customer unit economics frameworks, experimentation platforms, and partner intelligence systems, with an aspiration to deliver an end-to-end intelligent B2B marketing platform where data science and AI drive core decisions.
