Senior Feature Engineer

General Motors

Senior Feature Engineer building General Motors’ governed feature platform for AI and ML analytics. Developing Databricks pipelines, reusable features, and data quality systems at scale.

Posted 9/10/2026full-time🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable feature engineering pipelines for ML/AI model development, utilizing tools such as Databricks, Python, and SQL. Proficient in implementing CI/CD practices and ensuring data quality management throughout the pipeline lifecycle.

Highest-signal resume keywords

Feature EngineeringDatabricksPythonSQLCI/CD Pipelines

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Hard Skills

Feature EngineeringData EngineeringML EngineeringPythonSQLApache SparkCI/CD PipelinesData Quality ManagementModular Pipeline DesignDelta Lake

Soft Skills

Strong Communication SkillsCross-Functional Collaboration

Tools & Technologies

DatabricksApache SparkGitDelta LakeKafka

Industry Keywords

AI/ML Model DevelopmentFeature StoreData TransformationMonitoringReal-Time Data Streaming

Tech Stack

Tools & technologies

ApacheKafkaPandasPySparkPythonSparkSQLUnity

About the role

Key responsibilities & impact

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 in Databricks using notebooks, jobs, Delta Lake, and Unity Catalog
Collaborate with data scientists and ML engineers to translate modeling requirements into reusable features
Establish and maintain a feature store or equivalent for feature reuse, versioning, and train/serve parity
Implement CI/CD pipelines with automated testing, deployment, and rollback
Define and enforce data quality checks, including completeness, freshness, schema validation, drift detection, and anomaly detection
Optimize Spark and Databricks jobs for performance, cost, and reliability at scale
Document feature definitions, lineage, and pipeline architecture
Partner with data engineering and platform teams on upstream and downstream integration
Monitor production feature pipelines and resolve data quality or pipeline failures proactively

Requirements

What you’ll need

5+ years of experience in feature engineering, data engineering, or ML engineering roles supporting AI/ML model development
Strong hands-on experience with Databricks, including Spark clusters, notebooks, Delta Lake, and workflows/jobs
Proficiency in Python, including pandas, PySpark, and modular pipeline design
Strong SQL skills for complex data transformation, aggregation, and optimization
Solid working knowledge of Apache Spark, including PySpark or Spark SQL
Experience building and maintaining CI/CD pipelines for data/ML pipeline code
Experience implementing data quality management practices, validation frameworks, monitoring, and alerting
Understanding of ML workflows and how feature quality impacts model performance
Experience with Git and collaborative software development practices
Strong communication skills and ability to work cross-functionally
Preferred: 8+ years of experience in data engineering
Preferred: Experience with vehicle telematics, battery health data, or embedded systems
Preferred: Familiarity with machine learning workflows and model deployment
Preferred: Experience with real-time data streaming technologies such as Kafka or Delta LIVE Tables
Must not require GM immigration sponsorship now or in the future, including H-1B, OPT, STEM OPT, CPT, TN, and J-1 sponsorship or other immigration support

Benefits

Comp & perks

Benefits supporting well-being at work and at home; details provided through GM Total Rewards resources
Reasonable accommodations for applicants with disabilities
Equal employment opportunity and inclusive workplace commitment
Role-related assessments and/or pre-employment screening where applicable
No relocation benefits; relocation costs are the selected candidate’s responsibility