Senior Feature Engineer

Job Description

The Role:

General Motors is seeking a highly motivated and qualified candidate for the position of Senior Feature Engineer on our Data & Feature Engineering team. This team builds the shared feature store governance model and platform tooling that power advanced analytics and machine learning solutions aimed at improving product reliability and performance.

As a Senior Feature Engineer you will lead the design development and operation of our governed feature platform the shared infrastructure standards and tooling that domain teams use to define certify and serve reusable features for product analytics. This role sits at the intersection of data engineering and applied ML translating raw high-volume data into reliable reusable production-grade features that data scientists and ML engineers can trust.

Key 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 (or equivalent) to enable feature reuse versioning and consistency between training and inference (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 (completeness freshness schema validation drift detection anomaly detection) 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 cleanly with upstream data sources and downstream ML platforms
• Monitor production feature pipelines and proactively resolve data quality or pipeline failures

Required Qualifications

• 5 yearsof experience in feature engineering data engineering or ML engineering roles supporting AI/ML model development
• Bachelors degree Computer Science Mechanical Engineering Electrical Engineering Data Analytics or equivalent degree
• Strong hands-on experience withDatabricks(Spark clusters notebooks Delta Lake workflows/jobs)
• Proficiency inPythonfor data pipeline and feature transformation development (pandas PySpark modular pipeline design)
• StrongSQLskills for complex data transformation aggregation and optimization
• Solid working knowledge ofApache Spark(PySpark or Spark SQL) for distributed data processing at scale
• Experience building and maintainingCI/CD pipelinesfor data/ML pipeline code
• Demonstrated experience implementingdata quality managementpractices 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

What Will Give You A Competitive Edge (Preferred Skills)

• 8 years of experience in data engineering.
• Experience with vehicle telematics battery health data or embedded systems.
• Familiarity with machine learning workflows and model deployment.
• Experience with real-time data streaming technologies (e.g. Kafka Delta LIVE Tables).

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship entry of GM as the immigration employer of record on a government form and any work authorization requiring a written submission or other immigration support from the company (e.g. H1-B OPT STEM OPT CPT TN J-1 etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week or other frequency dictated by their manager. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

About GM

Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one were looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex race color national origin citizenship status religion age disability pregnancy or maternity status sexual orientation gender identity status as a veteran or protected veteran or any other similarly protected status in accordance with federal state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment email us or call your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.