Sr. Data Engineer (Motorsports)

Charlotte Technical Center - Charlotte Technical Center

General Motors

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Job Description

Workplace Classification:

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 up to 3 times per week, with flexible schedule for periodic race weekend remote support.

GM Motorsports Software Engineering is looking to expand its motorsports data science and analytics group. GM Motorsports is currently racing in NASCAR, IndyCar, IMSA and is currently pursuing an entry into Formula 1.

The Team:

GM Motorsports offers one of the most storied programs in racing history across multiple race classes.  Our software engineering 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 collaboration with 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 project managers work with GM Motorsports Engineering and Race teams to ensure podium wins for GM’s NASCAR, IndyCar, and IMSA 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 Job Description

What You'll Need (Required Qualifications):

  • Bachelor's degree in Computer Science, Data Science, Statistics, Analytics, or relevant field
  • 5 or more years experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
  • At least 3 years of hands on experience with Big Data Tools: Hadoop, Spark, Kafka, etc.
  • You have mastery with databases - Advanced SQL and NoSQL databases, including Postgres and Cassandra
  • Data Wrangling and Preparation: Alteryx, Trifacta, SAS, Datameer
  • Stream-processing systems: Storm, Spark-Streaming, etc.
  • 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



Preferred Skills:

  • Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • AWS cloud services: EC2, EMR, RDS, Redshift

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. PLEASE DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.

•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 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.

Benefits Overview

The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:
• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;
• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;
• Company and matching contributions to 401K savings plan to help you save for retirement;
• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; 
• Tuition assistance and student loan refinancing;
• Discount on GM vehicles for you, your family and friends.

Diversity Information

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

GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, “protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances.  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.​

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Airflow Architecture AWS Azkaban Big Data Business Intelligence Cassandra Classification Computer Science Data management Data pipelines EC2 Engineering Hadoop Java Kafka NoSQL Pipelines PostgreSQL Python Redshift SAS Scala Spark SQL Statistics STEM Streaming Trifacta

Perks/benefits: 401(k) matching Career development Flex hours Flex vacation Health care Insurance Medical leave Parental leave Relocation support Wellness

Region: North America
Country: United States

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