Data Engineer

NASCAR; Daytona Beach (FL); On-site; USD 90,000 - 120,000; Full time

Job summary

NASCAR is hiring a Data Engineer based in Daytona Beach, FL to shape our data ecosystem. You will build scalable data solutions, improve data quality, and create trusted datasets for cross-functional teams that drive informed decisions.

You will work with SQL and Python, implement ETL/ELT processes, and integrate API-based sources while adhering to governance and security standards. Collaboration with engineers and analysts is key to delivering impactful data-driven insights.

Qualifications

• Bachelor’s degree or equivalent practical experience in a technical field.
• Up to two years of relevant data engineering experience.
• Strong 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.
• Exposure to Snowflake, Airflow, or comparable platforms.
• Experience with APIs and structured or semi-structured data.

Responsibilities

• Collaborate with engineers, analysts, and stakeholders to understand data needs.
• Translate requirements into scalable data solutions.
• Develop and maintain data pipelines using SQL and Python.
• Build integrations across data platforms, including API sources.
• Apply data modeling to prepare datasets for reporting and analytics.
• Write clean, maintainable code following team standards.
• Implement data quality checks and investigate data discrepancies.
• Follow data governance, privacy, and security standards.
• Document data workflows, transformations, and business rules.

Skills

SQL

Python

Data modeling

Data quality

Communication

Prioritization

Education

Bachelor’s degree in a related field

Tools

Snowflake

Apache Airflow

Git

AWS S3

Job description

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.

What You Will Do:

• 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.

What You Will Bring:

• 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.

Why This Role?

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.

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.

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.