Senior Data Engineer – Agentic AI, Automation, and Data Platforms

General Motors; Warren (MI); Hybrid; USD 139,000 - 174,000; Full time

Benefits offered by this job

Relocation benefits

Job summary

General Motors in Warren (MI) and Austin (TX) seeks a Senior Data Engineer to lead data pipeline design, build scalable data products, and drive AI-enabled data experiences across platforms.

You will collaborate with data scientists and ML engineers, deploy reliable automation, and shape data governance for Vector Search/RAG powered applications. This role is hybrid with frequent onsite collaboration.

Qualifications

• 5+ years of professional data engineering experience.
• Experience with data pipelines, modeling, and production support.
• Strong command of Python or Scala and SQL.
• Familiarity with cloud data platforms (Azure preferred).

Responsibilities

• Design, build, and productionize scalable data pipelines and data products in Azure Databricks.
• Transform raw data into trusted data assets for analytics and AI workloads.
• Build automation and reusable workflows to accelerate delivery and testing.
• Define governed data patterns for Vector Search and AI-enabled apps.
• Collaborate with data scientists and ML engineers for feature engineering and productionization.
• Mentor teammates and promote engineering best practices.

Skills

Python/Scala

SQL

Apache Spark

Azure Databricks

Delta Lake

Vector Search

LLMs

RAG

Databricks agents

Cursor

Claude

GitHub Copilot

Automation tools

Education

Bachelor's degree in CS/Software/Data Engineering

Master's degree

Tools

Delta Lake

Azure Databricks

Job description

## Senior Data Engineer – Agentic AI, Automation, and Data PlatformsApplyremote type: Hybridlocations: Warren, Michigan, United States of America: Austin, Texas, United States of Americatime type: Full timeposted on: Posted Todayjob requisition id: JR-202616156**Job Description****This role is categorized as hybrid. This means the successful candidate is expected to report to GM Warren Global Technical Center or Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days].****The Role**This role is for a senior individual contributor in Data Engineering who can independently lead complex technical work, apply strong professional judgment, improve processes and delivery patterns, and move quickly from ideas to production solutions. At this level, the individual is expected to operate with minimal guidance, resolve non-standard problems using advanced analytical thinking, take ownership of outcomes, and serve as a technical resource for less experienced team members.The role is anchored in data engineering with a strong focus on automation and Agentic AI. The engineer will build reliable data platforms and use technologies such as Cursor, large language models, Vector Search, Databricks agents, RAG, and similar tools to accelerate engineering delivery and enable intelligent data experiences. The engineer will partner with data scientists and ML engineers as needed to support experimentation and productionize AI solutions, while data engineering and platform delivery remain the primary focus.**What You’ll Do*** Design, build, and productionize reliable, scalable, and secure data pipelines and data products in Azure Databricks that support AI, analytics, and operational use cases.* Transform raw data from multiple source systems into trusted, well-structured data products for analytics, model development, LLM applications, Vector Search, and AI agents.* Build automation and reusable engineering workflows using tools such as Cursor, Claude, LLMs, Databricks agents, and related technologies to improve development speed, testing, documentation, troubleshooting, and operational efficiency.* Design and enable governed data, retrieval, and semantic patterns for Vector Search, RAG, Databricks agents, Genie, Glean, and other AI-enabled applications.* Build and optimize batch and streaming pipelines, including feature-ready, training, inference, and model-scoring data workflows, in partnership with data science teams when needed.* Establish practical engineering patterns for CI/CD, automated testing, data quality, lineage, observability, security, cost management, and production support.* Solve complex data engineering, performance, reliability, and data-quality problems with strong ownership, urgency, and sound technical judgment.* Contribute to technical direction, reusable standards, and delivery practices across teams; influence adoption through working examples and measurable outcomes.* Mentor team members through technical guidance, design reviews, knowledge sharing, and strong engineering practices.**Your Skills & Abilities (Required Qualifications)*** Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or related field, or equivalent experience.* 5+ years of relevant professional experience, or equivalent knowledge and experience.* Strong experience in data engineering, including pipeline development, data modeling, data integration, distributed processing, and production support for enterprise data platforms.* Experience using Python or Scala, SQL, Apache Spark, and modern cloud data platforms; Azure is preferred, and AWS or GCP experience is also considered.* Experience designing, building, and optimizing scalable batch and streaming data pipelines using Databricks, Delta Lake, and medallion or comparable lakehouse architecture.* Hands-on experience using AI-assisted development or automation tools such as Cursor, Claude, GitHub Copilot, or comparable platforms to improve engineering productivity and delivery.* Hands-on experience with LLMs, Vector Search, RAG, Databricks agents, or comparable technologies used to build or enable production AI solutions.* Demonstrated ability to work independently, move quickly through ambiguity, influence technical decisions, and deliver measurable improvements in quality, reliability, efficiency, or business value.**What Can Give You a Competitive Advantage (Preferred Qualifications)*** Experience building or operating Databricks agents, Vector Search solutions, LLM applications, RAG workflows, Genie spaces, Glean integrations, or similar Agentic AI platforms.* Experience applying evaluation, monitoring, access controls, guardrails, and governance to AI or agent-enabled solutions.* Experience partnering with data scientists or ML engineers on feature engineering, experimentation, model development, model serving, or productionization of AI solutions.* Experience with infrastructure as code, APIs, data contracts, platform automation, or reusable engineering libraries and templates.* Experience in manufacturing, supply chain, automotive, planning, or another complex operational domain.* Demonstrated mentoring, technical leadership, and process improvement impact consistent with a Level 7 senior individual contributor role.* Master’s degree in Computer Science, Software Engineering, Data Engineering, or related field.This job may be eligible for relocation benefits.**Compensation:*** The expected base compensation for this role is: $138,700 - $173,750. Actual base compensation within the identified range will vary based on factors relevant to the position.* Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.* Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include 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 and more.GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)