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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer I - **Company:** Varsity Brands - **Location:** Farmers Branch, TX, United States - **Experience:** Starter - **Contract:** Internship / Graduate position - **Skills:** Agile Methodology, Artificial Intelligence, Business Analytics Applications, Data Analysis, Automation of Tests, Code Review, Information Systems, Computer Programming, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Visualization, Relational Databases, Document-Oriented Databases, Python (Programming Language), Metadata, Software Tools, Cloud Services, Standard Sql, Software Engineering, SQL Databases, Enterprise Data Management, Enterprise Software Applications, Cloud Platform System, System Availability, Snowflake, Technical Debt, Git, Kubernetes, Information Technology, Data Management, Software Version Control, Data Pipelines - **Published:** August 5, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b2abe2aaa35f1e32 ## About the Role Technical Knowledge * 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 Technical Skills * 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 * 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, * 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 ## Description Varsity Brands is building a modern enterprise data platform that powers analytics, reporting, artificial intelligence, and data-driven decision-making across the organization. The platform brings together data from enterprise applications, digital products, manufacturing, supply chain, and customer systems into trusted, scalable, and governed data products and platform capabilities that enable analytics, operational intelligence, and AI. The Data Engineer I (DE I) is an entry-level engineering position responsible for contributing to the development of the enterprise data platform. This role applies foundational data engineering knowledge and exercises independent judgment in executing assigned work, including selecting appropriate approaches within established engineering standards to develop, test, and maintain data pipelines, transformations, and data products. This role is designed to develop the next generation of data engineers who will help build the trusted data foundation supporting Varsity Brands' analytics, operational intelligence, and AI strategy. Impact of the Role * Contributes to delivery of trusted data pipelines and data products supporting analytics, reporting, and AI initiatives * Builds foundational engineering capabilities supporting a scalable, cloud-based enterprise data platform * Improves data accessibility, consistency, and quality across enterprise systems * Supports the organization's transition from fragmented data sources to governed, reusable enterprise data assets WHAT YOU WILL DO: * Develop, test, and maintain data pipelines, transformations, and data integration processes using established engineering standards * Assist 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 * Troubleshoot lower-complexity data pipeline and data quality issues, exercising sound judgment to identify appropriate solutions and escalating when necessary * 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 Key Performance Indicators Success in this role will be measured through: * Quality and reliability of delivered data pipelines and transformations * Timely completion of assigned engineering work * Accuracy and quality of data supporting downstream consumers * Ability to troubleshoot and resolve issues with increasing independence * Consistent adoption of engineering standards, documentation, and development practices * Demonstrated growth in technical capability and understanding of the enterprise data platform ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Beyond SQL Generation: How to Teach Agents What Your Database Actually Means](https://www.wearedevelopers.com/videos/100127-beyond-sql-generation-how-to-teach-agents-what-your-database-actually-means) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers)