{"id":3886225,"url":"https://alion.io/job/general-motors-senior-feature-engineer-2","title":"Senior Feature Engineer","company":{"id":1705,"name":"General Motors","domain":"gm.com","url":"https://alion.io/company/general-motors-europe","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":91,"open_postings":81,"ghost_share":0,"stale_share":0.531,"repost_share":0.037,"time_to_fill_p50_days":13,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States","Austin, United States","Mountain View, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":true,"relocation_package":true,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Feature Store","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true}],"status":"live","first_seen_at":"2026-11-06T19:43:21Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-11T08:19:27Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Job Description\nThe Role:\nGeneral 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.\nAs 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.\nKey Responsibilities\nDesign, develop, and maintain scalable feature engineering pipelines for ML/AI model development and production inference\nBuild and manage feature transformation logic using Python, SQL, and Apache Spark across large, distributed datasets\nDevelop and operate feature pipelines within Databricks (notebooks, jobs, Delta Lake, Unity Catalog)\nCollaborate with data scientists and ML engineers to translate modeling requirements into well-defined, reusable features\nEstablish and maintain a feature store (or equivalent) to enable feature reuse, versioning, and consistency between training and inference (train/serve parity)\nImplement CI/CD pipelines for feature and data pipeline code - automated testing, deployment, and rollback for pipeline changes\nDefine and enforce data quality checks (completeness, freshness, schema validation, drift detection, anomaly detection) across feature pipelines\nOptimize Spark/Databricks jobs for performance, cost, and reliability at scale\nDocument feature definitions, lineage, and pipeline architecture for reproducibility and audit purposes\nPartner with data engineering and platform teams to ensure features integrate cleanly with upstream data sources and downstream ML platforms\nMonitor production feature pipelines and proactively resolve data quality or pipeline failures\nRequired Qualifications\n5+ years of experience in feature engineering, data engineering, or ML engineering roles supporting AI/ML model development\nBachelors degree Computer Science, Mechanical Engineering, Electrical Engineering, Data Analytics or equivalent degree\nStrong hands-on experience with Databricks (Spark clusters, notebooks, Delta Lake, workflows/jobs)\nProficiency in Python for data pipeline and feature transformation development (pandas, PySpark, modular pipeline design)\nStrong SQL skills for complex data transformation, aggregation, and optimization\nSolid working knowledge of Apache Spark (PySpark or Spark SQL) for distributed data processing at scale\nExperience building and maintaining CI/CD pipelines for data/ML pipeline code\nDemonstrated experience implementing data quality management practices validation frameworks, monitoring, and alerting\nUnderstanding of ML workflows and how feature quality impacts model performance\nExperience with version control (Git) and collaborative software development practices\nStrong communication skills and ability to work cross-functionally with data science, ML engineering, and platform teams\nWhat Will Give You A Competitive Edge (Preferred Skills)\n8+ years of experience in data engineering.\nExperience with vehicle telematics, battery health data, or embedded systems.\nFamiliarity with machine learning workflows and model deployment.\nExperience with real-time data streaming technologies (e.g., Kafka, Delta LIVE Tables).\n\nGM 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).\n\nThis 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}.\n\nThis job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.\n\nAbout GM\nOur 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.\nWhy Join Us\nWe 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.\nBenefits Overview\nFrom 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.\nNon-Discrimination and Equal Employment Opportunities (U.S.)\nGeneral 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.\nAll 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.\nWe 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.\nAccommodations\nGeneral 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. 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