Senior Data Engineer - AI Data Platforms & Automation

General Motors; Warren (MI); Hybrid; USD 139.000 - 174.000; Vollzeit

Benefits dieser Stelle

Health and wellbeing benefits

GM vehicle discounts

Paid vacation & holidays

Zusammenfassung

General Motors is seeking a senior data engineer who can lead complex data work and deliver production-grade solutions. The role emphasizes automation, AI-enabled data platforms, and collaboration with data scientists and ML engineers.

You will design scalable pipelines, apply best practices, and mentor teammates across a hybrid work model. You will build reliable data platforms using Azure Databricks, Vector Search, and related tools to accelerate AI-driven data experiences while ensuring data

Qualifikationen

• Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or related field, or equivalent experience.
• 5+ years of relevant professional experience.
• Experience with Python/Scala, SQL, Spark; Azure preferred, AWS/GCP acceptable.
• Databricks, Delta Lake, and lakehouse architectures experience.
• Hands-on with AI-assisted development and automation tools.
• Experience with LLMs, Vector Search, RAG, and Databricks agents.

Aufgaben

• Design, build, and productionize data pipelines and data products in Azure Databricks.
• Transform raw data into trusted data products for analytics and AI applications.
• Build automation and reusable workflows to improve speed and reliability.
• Enable governed data, retrieval, and semantic patterns for AI-enabled apps.
• Create batch and streaming pipelines in collaboration with data science teams.
• Establish CI/CD, data quality, lineage, and observability patterns.
• Mentor team members and share knowledge.

Kenntnisse

Data engineering

Independent contributor

Analytical thinking

Technical leadership

Ausbildung

Bachelor’s degree in Computer Science

Equivalent experience

Tools

Python

Scala

SQL

Apache Spark

Databricks

Jobbeschreibung

General Motors is seeking a senior data engineer who can lead complex data work and deliver production-grade solutions. The role emphasizes automation, AI-enabled data platforms, and collaboration with data scientists and ML engineers.

You will design scalable pipelines, apply best practices, and mentor teammates across a hybrid work model. You will build reliable data platforms using Azure Databricks, Vector Search, and related tools to accelerate AI-driven data experiences while ensuring data