描述
Hybrid: This means the successful candidate is expected to report to their primary location (Mountain View, CA) three times per week, at minimum.
The Role:
The Commercial Software division at GM is seeking talented individuals across various software engineering roles to join us. Our mission? Driving forward all digital solutions for commercial fleet owners and drivers, catering to businesses of all sizes, from small and medium businesses to large enterprises.
In today's dynamic landscape, the demand for intelligent, safe, and eco-friendly transportation solutions is skyrocketing. GM is at the forefront of this transformative journey, championing connected software-defined vehicles that redefine the driving experience. At the heart of this paradigm shift lies software – enabling seamless communication, bolstering security, facilitating updates, processing data, and ultimately, delivering an unparalleled user experience. These capabilities extend beyond consumer benefits, holding even greater significance for business owners.
Recognizing this pivotal moment, GM has recruited a significant number of big tech engineering, product, and leaders to lead the GM Software & Services organization. As a leading OEM with a vast fleet of vehicles spanning the globe, we're uniquely positioned to leverage our comprehensive control over in-vehicle and cloud software. Our aim? Seamlessly integrating solutions such as fleet management, energy optimization, transportation logistics, safety systems, and more, all geared towards enhancing efficiency and sustainability.
To realize our vision, we're actively expanding our software teams in the Bay Area. We seek individuals who can blend a passion for technology and sustainability with curiosity, rigorous thinking and a strong customer centric approach. This is an exceptional opportunity where you can leverage the scale of GM and make a significant impact and find fulfillment in crafting innovative software solutions. We invite you to join us on this exciting journey toward a better future.
What You’ll do:
As a Staff Data Engineer on GM’s Commercial Software & Services Team, you will play a key role in designing, developing, and maintaining scalable data workflows and pipelines to serve real-time vehicle telemetry data to our innovative digital experience platform. This platform empowers fleet managers with tools for managing vehicles across driver experience, insights and automation, and safety/security product pillars. In this role, you will focus on implementing reliable and efficient data engineering solutions, contributing to GM’s commercial product offerings while collaborating across teams to ensure high-quality, real-time data processing. A key focus of this role will be on developing and optimizing streaming data pipelines, ideally utilizing Spark or similar technologies. You will work closely with our data scientists, DevOps, and software engineers to automate pipelines that process streaming vehicle telemetry data, ensuring real-time data processing and transformation. Additionally, you will transform data within our data lakehouse into deployable data models that power our automated fleet insights, visualizations, and emerging machine learning, optimization, and AI applications. The ideal candidate will have extensive experience in setting up ELT pipelines to handle massive volumes of spatiotemporal data, designing enterprise data warehouse models, implementing robust data quality tests, and leveraging data pipeline-as-code integration systems. Your expertise in streaming data technologies will be crucial for ensuring the smooth and efficient orchestration of the workflows that power our advanced analytics platform.
[Additional Description]
Your Skills & Abilities (Required Qualifications)
- Bachelor's Degree or equivalent experience in computer science, data science, engineering, or related quantitative field
- 7+ years of industry experience in architecting, implementing, and maintaining data ecosystems (Big Data, data warehousing, or lakehouse).
- 5+ years of experience building and maintaining cloud-based data solutions (Azure preferred).
- 5+ years' experience working with SQL query authoring for automated data transformation (familiarity with dbt preferred, but not required).
- 2+ years of expertise in streaming data processing (e.g., Spark, Flink, Storm, Kafka), with a track record of implementing high‐volume data pipelines in real‐time.
- Proficiency in one or more programming languages used for ELT tasks (e.g., Python, Java, Scala)
- Strong SQL skills for data transformations (experience with dbt is a plus).
- Demonstrated mastery of data workflow orchestration and integration tools (Airflow, Prefect, etc.).
- Understanding of and experience with application of data quality tools integrated with CI/CD automation frameworks in functional deployment environments (e.g., Github Actions/Azure DevOps pipelines).
- Familiarity with data quality testing frameworks (Great Expectations, Deequ)
- Self-driven with an interest in on-the-job learning.
- Working knowledge of machine learning concepts and their integration with data pipelines.
What Will Give You A Competitive Edge (Preferred Skills)
- Master's Degree in computer science, data science, engineering, or related quantitative field
- Automotive domain knowledge, particularly in working with vehicle telemetry data for fleets.
- Familiarity with ML operations and tools like MLFlow, Comet, or Weights & Biases.
- Exposure to generative AI tools and their application in data engineering workflows.
- High degree of attention to software craftsmanship and professionalism
- Experience partnering with cross-functional teams to gather requirements and develop high quality engineering architecture
- A passion for the modern data stack and a commitment to staying current with industry developments.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $ $186,200.00 - 285,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Renseignements sur la diversité
General Motors est résolue à être un lieu de travail qui est non seulement exempt de discrimination illégale, mais aussi un endroit qui favorise véritablement l'inclusion et l'appartenance. Nous sommes convaincus que la diversité de la main-d'œuvre permet de créer un environnement dans lequel nos employés peuvent s'épanouir et développer de meilleurs produits pour nos clients. Nous encourageons les candidats intéressés à consulter les principales responsabilités et compétences requises pour chaque rôle et à postuler à tout poste qui leur correspond. Dans le cadre du processus de recrutement, les candidats peuvent devoir, le cas échéant, réussir une évaluation liée au poste ou une présélection d'emploi avant d'être embauchés. Pour en savoir plus, consultez notre processus de recrutement.
Déclaration concernant l'égalité d'accès à l'emploi (É.-U.)
General Motors est fière d'être un employeur souscrivant au principe de l'égalité d'accès à l'emploi. Tous les candidats qualifiés seront pris en compte, sans égard à la race, à la couleur, à la religion, au sexe, à l'orientation sexuelle, à l'identité de genre, à l'origine ethnique, aux situations de handicap ou au statut protégé d'ancien combattant.
Aménagements (É.-U. et Canada)
General Motors offre des occasions à tous les chercheurs d'emploi, y compris les personnes handicapées. Si vous avez besoin d'un accommodement raisonnable pour vous aider dans votre recherche d'emploi ou la soumission de votre candidature, envoyez-nous un courriel à l'adresse Careers.Accommodations@GM.com ou appelez-nous au 800 865-7580. Veuillez inclure dans votre courriel une description spécifique du type d'accommodement demandé, ainsi que le titre d'emploi et le numéro de demande du poste auquel vous postulez.