Principal Data Engineer - AI & Data Enablement (Hybrid)

General Motors

Austin (TX)

Hybrid

USD 160,000 - 212,000

Full time

3 hours ago
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Job summary

General Motors is seeking a Principal Data Engineer (Level 8) to lead cross‑team technical initiatives, shape data strategy, and drive scalable data platforms with an expanded AI‑engineering focus. The role emphasizes autonomy, architecture, and collaboration with data scientists, analysts, software engineers, and business leaders to deliver high‑impact analytics and production AI capabilities.

Responsibilities include building reliable pipelines, defining standards (Medallion Architecture,

Qualifications

  • Bachelor's degree in CS, software engineering, data engineering, or related field.
  • 8+ years of data engineering experience.
  • End-to-end pipeline development, data modeling, and production support.
  • Experience enabling AI/ML data prep and model development.

Responsibilities

  • Design, build, and productionize reliable data pipelines and data products in Azure Databricks.
  • Transform raw data from diverse sources into trusted, governed datasets.
  • Define architecture and best practices for scalable data patterns.
  • Drive improvements in processes and delivery patterns across teams.
  • Solve complex data engineering problems with strong technical judgment.
  • Collaborate with data scientists, engineers, and business partners to enable AI initiatives.

Skills

Data engineering
Azure Databricks
Python/Scala
SQL
Data modeling
Leadership

Education

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

Tools

Databricks
Delta Lake
Spark
Azure
CI/CD

Job description

General Motors is seeking a Principal Data Engineer (Level 8) to lead cross‑team technical initiatives, shape data strategy, and drive scalable data platforms with an expanded AI‑engineering focus. The role emphasizes autonomy, architecture, and collaboration with data scientists, analysts, software engineers, and business leaders to deliver high‑impact analytics and production AI capabilities.

Responsibilities include building reliable pipelines, defining standards (Medallion Architecture,

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