Senior Data Engineer - Databricks & ML Pipelines (Hybrid)

General Motors; Austin (TX); Hybrid; USD 133,000 - 188,600; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement savings plan

Tuition assistance programs

Job summary

General Motors is seeking a Senior Data Engineer in Austin, Texas. This hybrid role requires designing ETL/ELT pipelines, building ML workflows, and deploying models. The ideal candidate has 5+ years of experience and strong skills in Scala, Python, SQL, and Databricks.

The position offers competitive compensation ranging from $133,000 to $188,600, along with various health and wellbeing benefits.

Qualifications

• 5+ years of relevant full-time experience; or equivalent knowledge.
• Strong proficiency in Scala, Python, SQL, Spark, and Databricks.
• Experience deploying machine learning models into production environments.

Responsibilities

• Design and develop batch and streaming ETL/ELT pipelines in Azure Databricks.
• Build and operationalize ML workflows for data preparation and model training.
• Implement CI/CD pipelines for data products and workflows using Git-based practices.

Skills

Scala

Python

SQL

Spark

Databricks

Cloud-based ETL/ELT

CI/CD Pipelines

Model deployment

Troubleshooting

Cross-functional collaboration

Education

Bachelor’s degree in Computer Science, Data Science, Engineering or a related technical field

Tools

Azure Databricks

Unity Catalog

MLflow

Git

Job description

General Motors is seeking a Senior Data Engineer in Austin, Texas. This hybrid role requires designing ETL/ELT pipelines, building ML workflows, and deploying models. The ideal candidate has 5+ years of experience and strong skills in Scala, Python, SQL, and Databricks.

The position offers competitive compensation ranging from $133,000 to $188,600, along with various health and wellbeing benefits.