Data Engineer: Build Scalable Pipelines for Sports Analytics

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

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.