Senior Feature Engineer: Platform & Feature Store Lead

General Motors Company; United States; Hybrid; USD 120,000 - 180,000; Full time

Job summary

General Motors is seeking a Senior Feature Engineer to join the Data & Feature Engineering team. You will design, build, and operate a governed feature platform and shared infrastructure to power analytics and ML solutions.

You will translate raw data into reusable features for data scientists and ML engineers, collaborate with platform teams, and drive CI/CD, data quality, and scalable feature pipelines across large datasets.

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 (pandas, PySpark, modular pipeline design).
• Strong SQL skills for complex data transformation, aggregation, and optimization.
• Solid working knowledge of Apache Spark (PySpark or Spark SQL) for distributed data processing at scale.
• Experience building and maintaining CI/CD pipelines for data/ML pipeline code.
• Demonstrated experience implementing data quality management practices, validation frameworks, monitoring, and alerting.
• Understanding of ML workflows and how feature quality impacts model performance.
• Experience with version control (Git) and collaborative software development practices.
• Strong communication skills and ability to work cross-functionally with data science, ML engineering, and platform teams.

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 - automated testing, deployment, and rollback for pipeline changes.
• Define and enforce data quality checks across feature pipelines.
• 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/downstream data sources.
• Monitor production feature pipelines and proactively resolve data quality or pipeline failures.

Skills

Feature engineering

Databricks

Python

SQL

Spark

CI/CD pipelines

Data quality

ML workflows

Git

Cross-functional collaboration

Education

Bachelor's degree in Computer Science or related

Tools

Databricks

Delta Lake

Unity Catalog

Job description

General Motors is seeking a Senior Feature Engineer to join the Data & Feature Engineering team. You will design, build, and operate a governed feature platform and shared infrastructure to power analytics and ML solutions.

You will translate raw data into reusable features for data scientists and ML engineers, collaborate with platform teams, and drive CI/CD, data quality, and scalable feature pipelines across large datasets.