Senior Data Engineer, ML Pipelines & Marketing Analytics

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

Job summary

Amazon.com Services LLC leads a data-driven push within the AWS Marketplace B2B Marketing team. You will own and evolve the data infrastructure powering marketing intelligence, ML scoring engines, auto-nurture pipelines, attribution models, and customer economics frameworks.

The role blends data modeling, pipeline engineering, and collaboration with data scientists to shape scalable, future-proof systems. You will design and operate production data pipelines, craft architecture decisions, and

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 that enable analysis not previously possible.
• 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

Data modeling

Warehousing

ETL pipelines

SQL

Python/Java/Scala/NodeJS

Mentoring

Tools

Hadoop

Hive

Spark

EMR

Job description

Amazon.com Services LLC leads a data-driven push within the AWS Marketplace B2B Marketing team. You will own and evolve the data infrastructure powering marketing intelligence, ML scoring engines, auto-nurture pipelines, attribution models, and customer economics frameworks.

The role blends data modeling, pipeline engineering, and collaboration with data scientists to shape scalable, future-proof systems. You will design and operate production data pipelines, craft architecture decisions, and