Senior Data Engineer - Snowflake & AWS (Hybrid)

Ally-Financial; Detroit (MI); Hybrid; USD 85,000 - 150,000; Full time

Job summary

Ally Financial is seeking a Senior Data Engineer to design and optimize scalable data pipelines and platforms enabling analytics, reporting, and AI/ML use cases. You will work with Snowflake on AWS, Python ETL/ELT, and enterprise scheduling tools in an agile environment.

The role involves data modeling, governance, and collaboration across Data Science, BI, Product, and Platform teams to deliver reliable data products with strong SDLC discipline.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience).
• 9+ years of data engineering experience, enterprise-grade data platform delivery, and production support.
• Strong hands-on Snowflake on AWS, Python ETL/ELT development, and enterprise scheduling tools like Control-M.

Responsibilities

• Design, develop, and maintain end-to-end data pipelines (batch and near real-time) using Snowflake and AWS.
• Build data models in Snowflake for analytics and downstream consumption.
• Develop and maintain ETL/ELT workflows with Python and IBM DataStage; migrate/modernize workloads as needed.

Skills

Agile/Scrum

Communication

Ownership

SDLC

Education

Bachelor's degree in CS/Engineering

Tools

Snowflake

AWS

Python

IBM DataStage

Control-M

SQL

Git / CI-CD

Job description

Ally Financial is seeking a Senior Data Engineer to design and optimize scalable data pipelines and platforms enabling analytics, reporting, and AI/ML use cases. You will work with Snowflake on AWS, Python ETL/ELT, and enterprise scheduling tools in an agile environment.

The role involves data modeling, governance, and collaboration across Data Science, BI, Product, and Platform teams to deliver reliable data products with strong SDLC discipline.