Lead Data Engineer - ML Pipelines & Marketing Analytics

Amazon; Seattle (WA); On-site; USD 155,000 - 209,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon's B2B Marketing team within AWS Marketplace is seeking a data engineer to own the data infrastructure powering marketing intelligence, ML scoring engines, and attribution models. You will shape the data platform and governance while delivering scalable pipelines and analytic datasets.

You will collaborate with data scientists, marketers, and cross-functional engineers to gather requirements, establish data contracts, and deploy robust solutions that enable data-driven marketing decisions

Qualifications

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

Responsibilities

• Design, build, and operate production data pipelines that serve 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 between speed and durability, cost and scalability, and short-term delivery versus long-term maintainability.
• Build and maintain analytical datasets that stitch together product activity, marketing engagement, customer transactions, and revenue data into query-ready models.
• Produce well-documented, maintainable code built for others to extend — establish patterns and templates that raise the quality bar for all data work on 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.

Skills

Data engineering

SQL

Programming languages

Mentoring

Data modeling

ETL pipelines

Tools

Hadoop

Hive

Spark

EMR

Job description

Amazon's B2B Marketing team within AWS Marketplace is seeking a data engineer to own the data infrastructure powering marketing intelligence, ML scoring engines, and attribution models. You will shape the data platform and governance while delivering scalable pipelines and analytic datasets.

You will collaborate with data scientists, marketers, and cross-functional engineers to gather requirements, establish data contracts, and deploy robust solutions that enable data-driven marketing decisions