Senior Feature Engineer — Data Platform & ML Features

General Motors Company; Warren (MI); Hybrid; USD 140,000 - 190,000; Full time

Job summary

General Motors is seeking a Senior Feature Engineer for the Data & Feature Engineering team to design, build, and operate the governed feature platform that powers analytics and ML across GM products.

You will translate high-volume data into reliable, reusable features, collaborate with data scientists and platform teams, and implement CI/CD, data quality checks, and scalable pipelines in Databricks.

Qualifications

• 5+ years of experience in feature engineering, data engineering, or ML engineering roles supporting AI/ML model development.
• Bachelor's degree in Computer Science, Mechanical/Electrical Engineering, Data Analytics or equivalent.
• Strong hands-on experience with Databricks (Spark clusters, notebooks, Delta Lake, workflows/jobs).
• Proficiency in Python for data pipeline and feature transformation development.
• Strong SQL skills for complex data transformation, aggregation, and optimization.
• Experience building and maintaining CI/CD pipelines for data/ML pipeline code.
• Demonstrated experience implementing data quality management practices and monitoring.

Responsibilities

• Design, develop, and maintain scalable feature engineering pipelines for ML/AI model development and production inference.
• Build and manage feature transformation logic using Python, SQL, and Apache Spark across large, distributed datasets.
• Develop and operate feature pipelines within Databricks (notebooks, jobs, Delta Lake, Unity Catalog).
• Collaborate with data scientists and ML engineers to translate modeling requirements into well-defined, reusable features.
• Establish and maintain a feature store to enable feature reuse, versioning, and train/serve parity.
• Implement CI/CD pipelines for feature and data pipeline code with automated testing, deployment, and rollback.
• Define and enforce data quality checks (completeness, freshness, schema validation, drift detection, anomaly detection).
• Optimize Spark/Databricks jobs for performance, cost, and reliability at scale.
• Document feature definitions, lineage, and pipeline architecture for reproducibility and audit purposes.
• Partner with data engineering and platform teams to ensure features integrate with upstream data sources and downstream ML platforms.
• Monitor production feature pipelines and proactively resolve data quality or pipeline failures.

Skills

Python

SQL

Spark

CI/CD pipelines

Data quality

Git

Communication

Education

Bachelor's degree in Computer Science or Engineering or Data Analytics

Tools

Databricks

Delta Lake

Unity Catalog

PySpark

Spark SQL

Git

Job description

General Motors is seeking a Senior Feature Engineer for the Data & Feature Engineering team to design, build, and operate the governed feature platform that powers analytics and ML across GM products.

You will translate high-volume data into reliable, reusable features, collaborate with data scientists and platform teams, and implement CI/CD, data quality checks, and scalable pipelines in Databricks.