Data Engineer

NASCAR • Daytona Beach, FL

12d

About The Position

NASCAR is seeking a Data Engineer based in Daytona Beach, Florida, to help build and scale its data ecosystem. The role develops scalable data solutions, improves data quality, and creates trusted datasets that support informed decisions across the organization. The Data Engineer works with modern data technologies and cross-functional stakeholders to advance data-driven innovation and support business operations, analytics, and strategic decision-making.

Requirements

• 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.
• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• Competitive compensation.
• A comprehensive benefits package focused on wellness.
• Opportunities to grow and develop both personally and professionally.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level