Motorsports Senior Data Engineer
Description
Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Concord, NC on a full-time basis.
The Role
We are seeking a highly skilled and motivated Senior Data Engineer to join the Aero Innovation team within the Motorsports Aerodynamic Department. Your primary responsibility will be to develop and optimize complex data pipelines and data-processing systems that enhance the productivity and capabilities of our aerodynamics development activities for both motorsport and high-performance production vehicles. As a member of our multi-disciplinary team, you will be at the forefront of designing, developing, and optimizing state-of-the-art solutions to tackle a variety of challenging technical obstacles. Your role is crucial and will significantly contribute to our competitiveness.
Joining the GM Motorsports Organization will provide you with the experience and exposure needed to thrive in a competitive environment. You will have the opportunity to showcase your talents, apply your conceptual knowledge and practical skills, drive innovation, and connect lessons learned in racing to production-intent vehicles. You will work cross-functionally with our partners and ultimately help shape the future of motorsports.
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What You'll Do
- Architect, design, build, and maintain scalable and efficient data pipelines to process and transform large volumes of structured and unstructured data from multiple sources.
- Develop and manage projects to integrate data from various platforms and systems (e.g., on-prem and cloud databases, data lakes, APIs, third-party vendors).
- Partner with cross-functional teams of Data Scientists, Product Managers, Engineers, and Aerodynamicists to translate business requirements into efficient data solutions.
- Manage and support cross-functional project that deliver data solutions.
- Ensure all tools and architecture adhere to best practices in software engineering.
- Ensure the integrity, consistency, and quality of processed data through automated validation and monitoring processes.
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Additional Description
What You'll Need (Required Qualifications)
- Master's degree in Computer Science, Data Science, or a related field
- 10+ years of experience in an engineering industry , specializing in data engineering, data processing, or related fields
- 5+ years experience in managing data or software development projects
- Proficient in multiple programming languages such as Python, C++. Java
- Extensive experience with data processing tools and platforms such as Kafka, Flink, Databricks
- Skilled in managing distributed computing management systems, like SLURM, LSF
- Knowledgeable in both relational and non-relational databases (e.g., SQL, MongoDB)
- Familiarity with cloud platforms (AWS, Azure)
- Excellent interpersonal skills, capable of effectively collaborating with both technical and non-technical stakeholders
- This job may be eligible for relocation benefits
What Will Give You A Competitive Edge (Preferred Qualifications)
- Experience leading the development and delivery of complex data pipeline projects
- Experience developing data solutions for a motorsports environment
- Proficiency in applying data governance, privacy, and security best practices
- Experience with HPC architecture
- Skilled in developing Live Streaming data pipelines
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.)
About GM
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Perks and Benefits
Health and Wellness
- Health Insurance
- Health Reimbursement Account
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
- HSA
- HSA With Employer Contribution
Parental Benefits
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Adoption Leave
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- Happy Hours
- On-Site Cafeteria
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
Financial and Retirement
- 401(K)
- 401(K) With Company Matching
- Performance Bonus
- Relocation Assistance
- Stock Purchase Program
Professional Development
- Tuition Reimbursement
- Learning and Development Stipend
- Promote From Within
- Mentor Program
- Shadowing Opportunities
- Access to Online Courses
- Lunch and Learns
- Internship Program
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Woman founded/led
- Employee Resource Groups (ERG)
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