Senior Feature Engineer

General Motors; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

General Motors is seeking a Senior Feature Engineer for its Data & Feature Engineering team to design, build, and operate a governed feature platform powering analytics and ML.

You will work with data scientists and platform teams to translate requirements into reusable features, maintain the feature store, and ensure train/serve parity with tested quality checks.

Qualifications

• 5+ years of experience in feature engineering, data engineering, or ML engineering.
• Strong hands-on Databricks experience with Spark clusters and Delta Lake.
• Proficiency in Python for data pipelines and feature transformation.
• Strong SQL skills for complex transformations and optimization.
• Experience with CI/CD for data/ML pipelines.

Responsibilities

• Design, develop, and maintain scalable feature engineering pipelines.
• Build feature transformation logic using Python, SQL, and Spark.
• Operate feature pipelines within Databricks (Delta Lake, Unity Catalog).
• Collaborate with data scientists to translate requirements into features.
• Establish and maintain a feature store with versioning and train/serve parity.
• Define data quality checks and monitor production pipelines.

Skills

Databricks

Python

SQL

PySpark

Data Pipelines

Tools

Delta Lake

Unity Catalog

Spark

Job description

Job DescriptionThe 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 ResponsibilitiesDesign, develop, and maintain scalable feature engineering pipelines for ML/AI model development and production inferenceBuild and manage feature transformation logic using Python, SQL, and Apache Spark across large, distributed datasetsDevelop 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 featuresEstablish 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 changesDefine and enforce data quality checks (completeness, freshness, schema validation, drift detection, anomaly detection) across feature pipelinesOptimize Spark/Databricks jobs for performance, cost, and reliability at scaleDocument feature definitions, lineage, and pipeline architecture for reproducibility and audit purposesPartner with data engineering and platform teams to ensure features integrate cleanly with upstream data sources and downstream ML platformsMonitor production feature pipelines and proactively resolve data quality or pipeline failuresRequired Qualifications5+ years of experience in feature engineering, data engineering, or ML engineering roles supporting AI/ML model developmentStrong 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 optimizationSolid working knowledge of Apache Spark (PySpark or Spark SQL) for distributed data processing at scaleExperience building and maintaining CI/CD pipelines for data/ML pipeline codeDemonstrated experience implementing data quality management practices validation frameworks, monitoring, and alertingUnderstanding of ML workflows and how feature quality impacts model performanceExperience with version control (Git) and collaborative software development practicesStrong communication skills and ability to work cross-functionally with data science, ML engineering, and platform teamsWhat 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 based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.About GMOur 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 UsWe 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 OverviewFrom day one, we're looking out for your well-being–at work and at home–so 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 .AccommodationsGeneral 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 us at 1-800-865-7580. In 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.