Descripción

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+ years of experience in feature engineering, data engineering, or ML engineering roles supporting AI/ML model development
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

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.)

Este puesto se desempeña remotamente, pero si el candidato seleccionado vive dentro de un radio específico de una milla de un centro de GM, deberá presentarse en el lugar tres veces por semana {o con otra frecuencia indicada por su líder}.

Este puesto no es elegible para beneficios de reubicación. Los posibles costos de relocalización serán responsabilidad del candidato seleccionado.

Información sobre diversidad

General Motors se compromete a ser un lugar de trabajo en el cual no solo no haya discriminación indebida, sino que fomente con sinceridad la inclusión y el sentido de pertenencia. Creemos firmemente que la diversidad del personal crea un entorno en el cual nuestros empleados pueden prosperar y desarrollar mejores productos para nuestros clientes. Instamos a los candidatos interesados a que revisen las responsabilidades y aptitudes clave para cada puesto y se postulen para los puestos que coincidan con sus habilidades y capacidades. Es posible que, cuando corresponda, se les pida a los solicitantes que están en el proceso de contratación que completen satisfactoriamente una o más evaluaciones relacionadas con su función y/o una evaluación previa al empleo antes de comenzar a trabajar. Para obtener más información, visite Cómo contratamos.

Declaración de igualdad de oportunidades en el empleo (EE.UU.)

General Motors se enorgullece de ser un empleador que ofrece igualdad de oportunidades. Todos los solicitantes calificados serán tenidos en cuenta para el empleo sin distinción de raza, color, religión, sexo, orientación sexual, identidad de género, nacionalidad, discapacidad o condición de veterano protegido.

Adecuaciones (EE.UU. y Canadá)

General Motors ofrece oportunidades a todos los solicitantes de empleo, incluyendo las personas con discapacidades. Si necesita una adecuación razonable para ayudarle con su búsqueda o solicitud de empleo, envíenos un correo electrónico a [email protected] o llámenos al 800-865-7580. En su correo electrónico, incluya una descripción del puesto específico que está solicitando, así como el título del empleo y el número de solicitud del puesto que está solicitando.