Senior Data Engineer — Snowflake, AWS & Python Pipelines

1611 Ally Bank; United States; Hybrid; USD 85,000 - 150,000; Full time

Benefits offered by this job

Health insurance

401K with match

Paid time off

Parental leave

Job summary

Ally Financial is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and data platforms supporting analytics, reporting, and AI/ML use cases.

The ideal candidate has strong hands‑on experience with Snowflake on AWS, Python ETL/ELT development, and enterprise scheduling tools like Control‑M, with enterprise DataStage experience as a plus. You will collaborate across teams in an Agile delivery model.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 9+ years of data engineering experience, including enterprise‑grade data platform delivery and production support.
• Experience with Snowflake, Python ETL/ELT, and IBM DataStage is a plus.
• Strong Agile/Scrum experience within SDLC processes.

Responsibilities

• Design, develop, and maintain end‑to‑end data pipelines (batch and near real‑time) using Snowflake, AWS services, and Python.
• Build and optimize data models in Snowflake for analytics and downstream consumption.
• Develop and maintain ETL/ELT workflows using Python and IBM DataStage; migrate/modernize workloads where applicable.
• Implement job scheduling, monitoring, and operational support using Control‑M; ensure data quality, governance, and documentation.

Skills

Snowflake

AWS

Python

Control‑M

IBM DataStage

SQL

Git/CI‑CD

Data governance

Data pipelines

Agile/Scrum

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Snowflake

AWS

Control‑M

IBM DataStage

Python

SQL

Job description

Ally Financial is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and data platforms supporting analytics, reporting, and AI/ML use cases.

The ideal candidate has strong hands‑on experience with Snowflake on AWS, Python ETL/ELT development, and enterprise scheduling tools like Control‑M, with enterprise DataStage experience as a plus. You will collaborate across teams in an Agile delivery model.