Senior Data Engineer

Job overview

The Senior Data Engineer role is hybrid in Detroit, MI. Compensation is $85,000–$150,000 per year. The role supports Ally’s analytics, reporting, and AI/ML use cases through data pipelines and platforms. The engineer designs and operates scalable data workflows and models, ensuring data quality and reliable production support. Collaboration with data science, business intelligence, product, and platform teams helps make data products and AI-ready datasets available to downstream users.

What you'll do

• Design, develop, and maintain batch and near-real-time data pipelines using Snowflake, AWS, and Python
• build and optimize Snowflake data models
• develop and maintain ETL/ELT workflows using Python and IBM DataStage
• schedule and monitor jobs with Control-M
• maintain data quality, governance, lineage, and documentation
• tune performance and costs across Snowflake and AWS
• collaborate with Data Science/AI, BI, Product, and Platform teams
• participate in Agile planning and delivery
• troubleshoot production issues and conduct root-cause analysis.

What we're looking for

Skills & competencies

senior data engineer

hybrid

detroit mi

ally

snowflake

aws

python

control-m

etl

elt

data pipelines

ai/ml

$85,000–$150,000/year

Work arrangement

• Weekend coverage required

Benefits & perks

• Paid time off, paid holidays, volunteer time off, 401(k) matching and company contributions, tuition reimbursement, employee stock purchase plan, medical, dental and vision coverage, disability coverage, parental and caregiver leave, and other well-being and family benefits.

Why this role

Snowflake on AWS, Python ETL/ELT, Control-M scheduling, and data enablement for analytics and AI/ML.

About the employer

Ally is hiring for this role. Industry: Commercial Banking. Sector: 52.