Data Engineer

At NASCAR, you will work alongside passionate people creating experiences fans feel and helping shape the future of sports and entertainment.

NASCAR is seeking a Data Engineer based in Daytona Beach, Florida, to help shape the foundation of our data ecosystem. You'll build scalable data solutions, improve data quality, and create trusted datasets that empower teams across the organization to make informed decisions. This role offers the opportunity to work with modern data technologies, collaborate with cross-functional stakeholders, and make a meaningful impact on the future of NASCAR through data-driven innovation.

• Collaborate with engineers, analysts, and business stakeholders to understand data needs.
• Translate defined business requirements into data solutions.
• Develop and maintain data pipelines using SQL and Python.
• Build integrations across data platforms, including API-based sources.
• Apply data modeling principles to prepare datasets for reporting, analytics, and business operations.
• Write clear, maintainable code that follows team development standards.
• Implement data quality checks and investigate discrepancies to improve accuracy, completeness, and consistency.
• Test changes, participate in code reviews, and support established deployment procedures.
• Follow established data governance, privacy, and security standards.
• Document data workflows, transformations, and business rules.

• Bachelor's degree in a related technical field or equivalent practical experience.
• Up to two years of relevant experience.
• Working knowledge of SQL and foundational Python skills.
• Understanding of relational databases, data modeling, ETL/ELT concepts, and data quality principles.
• Familiarity with Git or another version control system.
• Strong problem-solving, communication, and organizational skills.

• Exposure to Snowflake, Apache Airflow, or comparable data platforms.
• Familiarity with AWS services, such as Amazon S3.
• Experience working with APIs and structured or semi-structured data.
• Familiarity with automated testing or GitHub Actions.
• Interest in or experience within sports, entertainment, or media.
• Strong attention to detail and a commitment to data quality.
• Enthusiasm for working with data and building practical solutions.
• Ability to manage priorities and collaborate effectively in a fast-paced environment.

This is an opportunity to help shape and scale NASCAR's data ecosystem by building the pipelines, integrations, and trusted datasets that power business operations, analytics, and strategic decision-making across the organization. You'll work with modern cloud technologies, automation tools, and large-scale data platforms while collaborating with teams across the sport. You'll have the chance to make a visible impact, solve meaningful business challenges, and contribute to the future of NASCAR through data.

Behind every race weekend are talented people helping shape the future of sports and entertainment. If you are ready to make an impact alongside passionate teammates, we encourage you to apply.

Explore this opportunity and apply at www.careers.nascar.com.

Our people are the key to our success. That is why we offer competitive compensation, a comprehensive benefits package focused on wellness, and opportunities to grow and develop both personally and professionally.

NASCAR is an Equal Opportunity Employer and is committed to conducting recruitment and hiring activities in a fair, ethical, and legally compliant manner. In support of this commitment, all employment decisions are based on job-related qualifications, skills, experience, and performance, and are made without discrimination based on any legally protected characteristic, including but not limited to race, ethnicity, gender, religion, sexual orientation or gender identity, national origin, age, military or veteran status, disability, or any other status protected by applicable federal, state, or local law, including socioeconomic, marital, parental, or caregiving status.

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We are looking for your voice, your ideas, and your perspective. To help us get to know you accurately and keep the process fair for everyone, we ask that interviews and assessments be completed without the support of AI-generated content or automated assistance.