Hybrid This position does not require an employee to be on-site full-time to perform most effectively. The employee's role enables them to work at a GM facility or off-site as frequently as needed or desired. This position requires an employee to be onsite 1-3 times per week , with flexible schedule for periodic race weekend remote support.
GM's Motorsports IT team analyzes, defines, and delivers next generation ground breaking Motorsports IT software solutions. Using both innovative cloud-based infrastructure and software development standards, these solutions enable innovative interactions between GM Global Engineering, GM Motorsports, and our Race teams that accelerate our drivers to the finish line first! Our combined GMIT team of analysts, architects, developers, data engineers, testers, and project managers work with GM Motorsports Engineering and Race teams to ensure podium wins for GM's NASCAR, IndyCar, and IMSA sportscar teams!
In this Data Engineering role, you will have the opportunity to work hands-on with our full stack development team and data scientists developing solutions for strategic & analytic tools. Development activities will include improving existing data architectures, supporting migration into a unified data lake, and applying machine learning and artificial intelligence techniques to address specific needs of our data science, analytics, and our GM key partner race teams. Additionally, you will drive development activities in accordance with appropriate methodologies to deliver tactical and strategic value each week to make a podium difference.Additional Description
At least 3 years of hands-on experience with Big Data Tools: Hadoop, Spark, Kafka, etc.
7 or more years with object-oriented/object function scripting languages
Degree in Mathematics, Statistics, Computer Science, Operations Research, Engineering, Economics, Data Science or another quantitative field
Mastery with databases - Advanced SQL and NoSQL databases
Data Wrangling and Preparation: Alteryx, SAS, etc.
Ability to identify tasks which require automation and automate them
A demonstrable understanding of networking/distributed computing environment concepts
Ability to multi-task and stay organized in a dynamic work environment
Experience in developing large-scale integration and API solutions
Experience with cloud compute and storage platforms Azure, AWS, Google, and associated data tools.
Knowledge of Akka, Python, Kubernetes, Docker, GRPC
Previous IT experience with Motorsport Racing history/background a plus!
PhD. or Master's degree in Mathematics, Statistics, Computer Science, Operations Research, Engineering, Economics, Data Science or other quantitative field
Stream-processing systems: Storm, Spark-Streaming, etc.
Academic or work experience in a data-intensive field or industry
Experience with Motorsport Racing
Machine Learning Libraries: TensorFlow, Scikit-Learn, Spark ML, or equivalent
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We aspire to be the most inclusive company in the world. 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. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.Total Rewards Benefits Overview
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General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.Equal Employment Opportunity Statements
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and 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 at Careers.Accommodations@GM.com or call us at 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.