Data Engineer I

About the role

Varsity Brands is building a modern enterprise data platform that powers analytics, reporting, artificial intelligence, and data-driven decision-making across the organization. The Data Engineer I (DE I) role is an entry-level engineering position responsible for contributing to the development of this platform.

Responsibilities

• Develop, test, and maintain data pipelines, transformations, and data integration processes using established engineering standards.
• Aid in building and maintaining data products that support analytics, reporting, and AI use cases.
• Write, optimize, and troubleshoot SQL queries and data transformations.
• Participate in code reviews and incorporate feedback to improve quality, maintainability, and performance.
• Collaborate with Data Engineering, Analytics Engineering, Business Intelligence, Enterprise Architecture, Application Engineering, and business stakeholders to deliver reliable data solutions.
• Follow established engineering practices for testing, version control, CI/CD, security, and documentation.
• Contribute to data quality, observability, and monitoring activities to improve platform reliability.
• Document data pipelines, transformation logic, metadata, and engineering processes to support knowledge sharing and operational continuity.
• Develop working knowledge of enterprise data architecture, cloud data platforms, orchestration frameworks, and engineering patterns to support future growth into independent ownership.

Qualifications

• Foundational understanding of data engineering principles and modern data platforms.
• Basic understanding of relational databases, data modeling, and data integration concepts.
• Familiarity with cloud-based data platforms and modern data engineering environments.
• Basic understanding of data governance, data quality, and metadata concepts.
• Ability to develop and test SQL queries and data transformations.
• Foundational programming skills using Python or a comparable language.
• Familiarity with modern data engineering tools and technologies, including: Modern cloud data platforms (Snowflake preferred), SQL, Python for data engineering and automation, Git-based version control, ETL/ELT concepts, and basic understanding of CI/CD and automated testing concepts.
• Cognitive & Problem-Solving Abilities: Applies logical reasoning to solve defined technical problems, exercises independent judgment in selecting approaches within established engineering guidelines, identifies data quality and pipeline issues and escalates appropriately when needed, demonstrates attention to detail and commitment to producing accurate, reliable data.
• Collaboration & Communication: Communicates effectively within cross-functional team environments, collaborates with engineers, analysts, architects, and business stakeholders, actively participates in team discussions and engineering ceremonies, incorporates coaching and feedback to improve technical capability.
• Learning Agility: Demonstrates curiosity and willingness to learn emerging data technologies and engineering practices, adapts to evolving cloud platforms, tools, and business priorities, builds understanding of enterprise data architecture and modern data engineering patterns.
• Continuous Improvement: Identifies opportunities to automate, simplify, and improve engineering processes, seeks opportunities to reduce technical debt and improve operational excellence.
• Education, Certification And Experience: Ideal candidates will bring the following experience and capabilities: Required Bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, or a related technical discipline; or equivalent combination of education and experience. 0 – 2 years of relevant experience, including internships, academic projects, or early career experience in data engineering, software engineering, analytics engineering, or related technical disciplines. Foundational knowledge of SQL and relational databases. Preferred Exposure to cloud data platforms such as Snowflake, Exposure to Python, dbt, or comparable data transformation tools, Familiarity with Git, CI/CD, and Agile software development practices, Experience working with modern data visualization or analytics platforms through coursework, internships, or projects.

Benefits

We are committed to putting you and your families first. For benefits eligible roles, we offer a variety of choices and costs as well as program enhancements that align with our responsibility to elevate the employee experience. Some of our offerings include: Comprehensive Health Care Benefits, HSA Employer Contribution/ FSA Opportunities, Wellbeing Program, 401(k) plan with company matching, Company paid Life, AD&D, and Short-Term Disability, Generous My Time Off & Paid Holidays, Varsity Brands Ownership Program, Employee Resource Groups, Access to Financial Coaching and member-owned Credit Union, Employee Perks including discounts on personal apparel and equipment!

Our Values

Service - We lead with heart. We champion community. Passion - We love what we do. It fuels our purpose. Integrity - We do what we promise. We own our actions and decisions. Respect - We earn it by giving it. Because everyone deserves it. Innovation - We never stop striving to be better. For ourselves and our community. Transparency - We are committed to openness and honesty in everything we do.

Equal Opportunity Employer

Varsity Brands companies are equal opportunity employers. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, gender, sexual orientation, gender identity, veteran’s status, age or disability.