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General Motors

Senior Data Engineer- Motorsports

Posted 2 Days Ago
Be an Early Applicant
Hybrid
3 Locations
Senior level
Hybrid
3 Locations
Senior level
The Senior Data Engineer will build and optimize data pipelines, create data architecture, support Business Intelligence, and work with data scientists and architects.
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Description
Workplace Classification:
Hybrid: This position does not require an employee to be on-site full-time to perform most effectively. This position requires an employee to be onsite up to 3 times per week, with flexible schedule for periodic race weekend remote support.
The Team:
GM's Motorsports Software team analyzes, defines, and delivers next generation groundbreaking 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 team of analysts, architects, developers, data engineers, testers, and product managers work with GM Motorsports Engineering and Racing teams to ensure podium wins for GM's Formula 1, NASCAR, IndyCar, and IMSA&WEC sportscar teams!
The Role:
As a Senior Data Engineer, you will build industrialized data assets and optimize data pipelines in support of Business Intelligence and Advance Analytic objectives. You will work closely with our forward-thinking Data Scientists, BI Developers, System Architects and Data Architects to deliver value to our vision for the future. Are you ready to join a future facing team?
What You'll Do (Responsibilities):
  • Communicates and maintains Master Data, Metadata, Data Management Repositories, Logical Data Models, Data Standards.
  • Create and maintain optimal data pipeline architecture.
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build industrialized analytic datasets and delivery mechanisms that utilize the data pipeline to deliver actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with business partners on data-related technical issues and develop requirements to support their data infrastructure needs.
  • Create highly consistent and accurate analytic datasets suitable for business intelligence and data scientist team members.

Additional Description
What You'll Need (Required Qualifications):
  • Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Operations Research, Engineering, Economics, or other quantitative field
  • 5 or more years experience with object-oriented/object function scripting languages: Python, Java, C++, or Scala
  • At least 3 years of hands on experience with Big Data Tools: Kafka, Databricks, Flank, etc.
  • Advanced SQL and NoSQL databases, including Postgres and Cassandra
  • Experience in developing large-scale integration and API solutions
  • Experience with cloud compute and storage platforms Azure, AWS, Google, and associated data tools

People Skills:
  • Ability to tackle problems quickly and completely
  • 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

What Will Give You A Competitive Edge (Preferred Qualifications):
  • Knowledge of Akka, Python, Kubernetes, Docker, GRPC
  • Data Wrangling and Preparation: Alteryx, Trifacta, SAS, Datameer
  • 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
  • Machine Learning Libraries: TensorFlow, Scikit-Learn, Spark ML, or equivalent

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., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)

• This job may be eligible for relocation benefits.
#LI-DH2
About GM
Our 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 Us
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. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From 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.
Accommodations
General 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 [email protected] 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.

Top Skills

AWS
Azure
C++
Cassandra
Databricks
Docker
Flank
Google
Java
Kafka
Kubernetes
NoSQL
Postgres
Python
Scala
Scikit-Learn
Spark Ml
SQL
TensorFlow

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