Senior Data Engineer - Gpsc Insights Engineering

General Motors Australia & New Zealand

Austin, Texas, United States
Base: $134,000 - $219,400; bonus: incentive pyy pr...
Hybrid
7+ years data engineering experience
Python or scala proficiency required
Distributed data processing with spark
This senior-level role blends strong data engineering skills with modern software engineering practices to deliver innovative, scalable solutions for the Global Purchasing Supply Chain

Job Summary

  • This senior-level role blends strong data engineering skills with modern software engineering practices to deliver innovative, scalable solutions for the Global Purchasing Supply Chain.
  • The successful candidate will lead architectural discussions, mentor junior engineers, and ensure alignment with business priorities while working in a hybrid environment based in Austin, TX.
  • General Motors offers a comprehensive benefits package including medical, dental, vision, retirement savings, and tuition assistance alongside an incentive pay program.

Matching Summary

This senior-level role blends strong data engineering skills with modern software engineering practices to deliver innovative, scalable solutions for the Global Purchasing Supply Chain.

Salary

Base: $134,000 - $219,400; Bonus: Incentive pay program based on performance; Benefits: Medical, dental, vision, retirement, tuition assistance

Skills & Requirements

Must-have

  • 7+ years data engineering experience
  • Python or Scala proficiency required
  • Distributed data processing with Spark
  • Kubernetes container orchestration
  • Kafka data streaming expertise
  • Azure cloud platform knowledge
  • CI/CD principles and tools

Nice-to-have

  • Master's degree in Computer Science
  • Experience with Databricks or Snowflake
  • Knowledge of data governance frameworks
  • Handling unstructured file formats
  • Schema design and data contracts
  • Strong collaboration and coaching skills

Key Requirements

  • Bachelor's degree in Computer Science or equivalent
  • 7+ years of data engineering development experience
  • 3+ years experience with Spark and Kubernetes
  • US work authorization without sponsorship required

Work Rights

Must have US work authorization

Tailored Resume

Cover Letter