Senior Data Engineer

General Motors

Senior Data Engineer at GM leading data engineering efforts and collaborating on AI use cases. Responsible for scalable data pipelines and guiding a team in data solutions.

Posted 6/12/2026full-timeWarren • Missouri, Texas • 🇺🇸 United StatesSenior💰 $138,700 - $175,450 per yearWebsite

Tech Stack

Tools & technologies

ApacheAWSAzureCloudETLGoogle Cloud PlatformNoSQLPythonScalaSparkSQL

About the role

Key responsibilities & impact

Design, build, and productionize reliable, scalable, and secure data pipelines and data products in Azure Databricks that support AI, analytics, and operational use cases.
Lead the transformation of raw data from multiple source systems into trusted, well-structured datasets suitable for downstream analytics, model development, and AI enablement.
Drive improvements in internal processes, delivery patterns, and technical solutions that support broader functional strategy and increase team efficiency.
Solve complex and non-standard data engineering problems using advanced analytical and problem-solving techniques, with strong ownership and sound technical judgment.
Partner closely with data scientists, analysts, software engineers, product stakeholders, and business teams to ensure data is accessible, trustworthy, and aligned to business outcomes.
Support AI and data science use cases by enabling high-quality feature-ready data, experimentation workflows, and scalable patterns for model development and deployment.
Contribute to technical direction within the team, influence key engineering decisions in their area, and act as a go-to resource for peers and less experienced engineers.
Mentor team members through technical guidance, knowledge sharing, and strong engineering practices consistent with Level 7 expectations.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent experience
5+ years of relevant full-time experience; or equivalent knowledge
Strong experience in data engineering, including pipeline development, data modeling, data integration, and production support for enterprise data platforms.
Data engineering experience, including Python or Scala, SQL, and relational/non-relational data storage (ETL frameworks, big data processing, NoSQL).
Experience with cloud platforms – Azure preferred; AWS or GCP also considered.
Proficiency with SQL, key-value datastores, and document stores
Design, build, and optimize scalable batch and streaming data pipelines using Databricks (Apache Spark, Delta Lake) to support Medallion Architecture.
Experience with modern cloud data platforms, distributed processing, and production-grade data pipelines.
Demonstrated ability to work independently, manage broad technical challenges, and deliver solutions with limited guidance.
Experience collaborating across engineering, analytics, and business teams to deliver data solutions that support measurable outcomes.
Understanding of statistics, machine learning, experimentation, and data mining concepts used to drive informed decisions.
Ability to prepare and explore data, support model development workflows, and help validate analytical outputs in partnership with data scientists.
Ability to translate analytical needs into scalable data solutions and help move data science work from exploration into repeatable, governed delivery.
Strong communication skills to connect technical work with business value and convert complex findings into clear recommendations.

Benefits

Comp & perks

medical, dental, vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs
employee assistance program
GM vehicle discounts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringpipeline developmentdata modelingdata integrationproduction supportPythonScalaSQLETL frameworksbig data processing

Soft Skills

problem-solvingownershiptechnical judgmentmentoringcollaborationindependencecommunication

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Software Engineering