Senior Data Engineer — ML Pipelines & Analytics

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

Benefits offered by this job

RSUs

Health Insurance

401(k) matching

Paid time off

Parental leave

Job summary

AWS Marketplace is hiring a data engineer to join the B2B Marketing data science team in Seattle. You’ll own the infrastructure that supports production ML across the full lifecycle and shape how data architecture evolves to enable new analysis of product activity, engagement, transactions, and revenue.

You’ll design and operate production data pipelines, define data contracts, and collaborate with data scientists and marketers to deliver scalable, high-quality analytics platforms across the

Qualifications

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

Responsibilities

• Design, build, and operate production data pipelines for ML models and analytics.
• Define and own the data architecture, balancing speed, durability, cost, and scalability.
• Create analytical datasets stitching product activity, marketing engagement, transactions, and revenue.
• Produce well-documented, maintainable code with reusable patterns.
• Collaborate with data scientists and marketers to gather requirements and define data contracts.

Skills

Data engineering

Data modeling

Data warehousing

ETL pipelines

SQL

Python

Java/Scala/NodeJS

Mentoring

Tools

Hadoop

Hive

Spark

EMR

Job description

AWS Marketplace is hiring a data engineer to join the B2B Marketing data science team in Seattle. You’ll own the infrastructure that supports production ML across the full lifecycle and shape how data architecture evolves to enable new analysis of product activity, engagement, transactions, and revenue.

You’ll design and operate production data pipelines, define data contracts, and collaborate with data scientists and marketers to deliver scalable, high-quality analytics platforms across the