Senior AI/Data Engineer — Cloud-Native Backend & Pipelines

General Motors; Austin (TX); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Relocation benefits

Job summary

General Motors seeks a Senior Software Engineer to develop data-intensive, AI-enabled software supporting Product Development and Quality teams. You’ll work with SQL, Databricks, Java, and Python, building scalable data solutions and APIs with a focus on data quality, performance, and reliability.

You will mentor engineers, define patterns for SQL and AI/ML integrations, and contribute to cloud modernization. This role is hybrid in a U.S. location with cross-functional collaboration.

Qualifications

• Bachelor’s degree or equivalent technical experience.
• 6+ years delivering enterprise or full stack software solutions using Java / JEE, Python, and preferably Angular.
• 3+ years of experience with complex SQL queries, functions, and stored procedures, including performance tuning and optimization against large datasets.

Responsibilities

• Design, develop, and maintain data-driven AI-enabled applications and services.
• Write high-quality, performant SQL for complex data transformations across enterprise data platforms.
• Build and optimize data pipelines and workflows in Databricks for batch and near real-time processing.
• Develop backend services and APIs in Java and Python that integrate data, business rules, and workflows.
• Collaborate with data science teams to productionize AI/ML and LLM-based solutions.
• Lead or contribute to solution design aligned with GM standards.

Skills

Java / JEE

Python

Angular

SQL

Databricks

Kubernetes / Docker

CI/CD

Education

Bachelor’s Degree in Computer Science / Software Engineering / Information Systems

Tools

Databricks

Kubernetes

Docker

Quarkus

Java

Angular

PostgreSQL

Job description

General Motors seeks a Senior Software Engineer to develop data-intensive, AI-enabled software supporting Product Development and Quality teams. You’ll work with SQL, Databricks, Java, and Python, building scalable data solutions and APIs with a focus on data quality, performance, and reliability.

You will mentor engineers, define patterns for SQL and AI/ML integrations, and contribute to cloud modernization. This role is hybrid in a U.S. location with cross-functional collaboration.