{"id":1449442,"url":"https://alion.io/job/varsity-brands-data-engineer-i","title":"Data Engineer I","company":{"id":1880078,"name":"Varsity Brands","domain":"varsitybrands.com","url":"https://alion.io/company/varsitybrands","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":9,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Farmers Branch, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":47000,"max_usd":102000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":258},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-05T00:00:00Z","employer_posted_date":"2026-08-05","last_verified_at":"2026-10-10T23:06:42Z","board_verified":true,"closed_at":null,"days_open":67,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":67},"description":"JOIN THE BEST TEAM IN SPORT & SPIRIT\nAt Varsity Brands, we believe every student deserves the opportunity to succeed and every educator wants to make a difference. It takes a team to make a real impact, and through our two divisions - BSN SPORTS and Varsity Spirit - and our network of 6,000+ employees and independent representatives, we are proud to partner with a wide range of educational institutions and club and professional sports to transform the student journey in SPORT and SPIRIT.\nLOCATION: 14460 Varsity Brands Way Farmers Branch, Tx - Varsity Brands HQ\nWORK TYPE: Onsite\nHOW YOU WILL MAKE AN IMPACT:\nVarsity 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.\nThe 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.\nThis 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.\nImpact of the Role\nContributes to delivery of trusted data pipelines and data products supporting analytics, reporting, and AI initiatives\nBuilds foundational engineering capabilities supporting a scalable, cloud-based enterprise data platform\nImproves data accessibility, consistency, and quality across enterprise systems\nSupports the organization's transition from fragmented data sources to governed, reusable enterprise data assets\nWHAT YOU WILL DO:\nDevelop, test, and maintain data pipelines, transformations, and data integration processes using established engineering standards\nAssist in building and maintaining data products that support analytics, reporting, and AI use cases\nWrite, optimize, and troubleshoot SQL queries and data transformations\nParticipate in code reviews and incorporate feedback to improve quality, maintainability, and performance\nTroubleshoot lower-complexity data pipeline and data quality issues, exercising sound judgment to identify appropriate solutions and escalating when necessary\nCollaborate with Data Engineering, Analytics Engineering, Business Intelligence, Enterprise Architecture, Application Engineering, and business stakeholders to deliver reliable data solutions\nFollow established engineering practices for testing, version control, CI/CD, security, and documentation\nContribute to data quality, observability, and monitoring activities to improve platform reliability\nDocument data pipelines, transformation logic, metadata, and engineering processes to support knowledge sharing and operational continuity\nDevelop working knowledge of enterprise data architecture, cloud data platforms, orchestration frameworks, and engineering patterns to support future growth into independent ownership\nKey Performance Indicators\nSuccess in this role will be measured through:\nQuality and reliability of delivered data pipelines and transformations\nTimely completion of assigned engineering work\nAccuracy and quality of data supporting downstream consumers\nAbility to troubleshoot and resolve issues with increasing independence\nConsistent adoption of engineering standards, documentation, and development practices\nDemonstrated growth in technical capability and understanding of the enterprise data platform\nQUALIFICATIONS:\nKnowledge, Skills, Abilities\nThe ideal candidate will demonstrate the following capabilities:\nTechnical Knowledge\nFoundational understanding of data engineering principles and modern data platforms\nBasic Understanding of relational databases, data modeling, and data integration concepts\nFamiliarity with cloud-based data platforms and modern data engineering environments\nBasic understanding of data governance, data quality, and metadata concepts\nTechnical Skills\nAbility to develop and test SQL queries and data transformations\nFoundational programming skills using Python or a comparable language\nFamiliarity with modern data engineering tools and technologies, including:Modern cloud data platforms (Snowflake preferred)\nSQL\nPython for data engineering and automation\nGit-based version control\nETL/ELT concepts\n\nBasic understanding of CI/CD and automated testing concepts\nCognitive & Problem-Solving Abilities\nApplies logical reasoning to solve defined technical problems\nExercises independent judgment in selecting approaches within established engineering guidelines\nIdentifies data quality and pipeline issues and escalates appropriately when needed\nDemonstrates attention to detail and commitment to producing accurate, reliable data\nCollaboration & Communication\nCommunicates effectively within cross-functional team environments\nCollaborates with engineers, analysts, architects, and business stakeholders\nActively participates in team discussions and engineering ceremonies\nIncorporates coaching and feedback to improve technical capability\nLearning Agility\nDemonstrates curiosity and willingness to learn emerging data technologies and engineering practices\nAdapts to evolving cloud platforms, tools, and business priorities\nBuilds understanding of enterprise data architecture and modern data engineering patterns\nContinuous Improvement\nIdentifies opportunities to automate, simplify, and improve engineering processes\nSeeks opportunities to reduce technical debt and improve operational excellence\nEducation, Certification and Experience\nIdeal candidates will bring the following experience and capabilities:\nRequired\nBachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, or a related technical discipline; or equivalent combination of education and experience\n0 - 2 years of relevant experience, including internships, academic projects, or early career experience in data engineering, software engineering, analytics engineering, or related technical disciplines\nFoundational knowledge of SQL and relational databases\nPreferred\nExposure to cloud data platforms such as Snowflake\nExposure to Python, dbt, or comparable data transformation tools\nFamiliarity with Git, CI/CD, and Agile software development practices\nExperience working with modern data visualization or analytics platforms through coursework, internships, or projects\nPhysical Demands and/or Work Environment\nThe physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.\n#LI_JF\nPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job.\nOUR VALUES\nService - We lead with heart. We champion community.\nPassion - We love what we do. It fuels our purpose.\nIntegrity - We do what we promise. We own our actions and decisions.\nRespect - We earn it by giving it. Because everyone deserves it.\nInnovation - We never stop striving to be better. For ourselves and our community.\nTransparency - We are committed to openness and honesty in everything we do.\nOUR BENEFITS\nWe 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:\nComprehensive Health Care Benefits\nHSA Employer Contribution/ FSA Opportunities\nWellbeing Program\n401(k) plan with company matching\nCompany paid Life, AD&D, and Short-Term Disability\nGenerous My Time Off & Paid Holidays\nVarsity Brands Ownership Program\nEmployee Resource Groups\nAccess to Financial Coaching and member-owned Credit Union\nSt. Jude Partnership & Volunteer Opportunities\nEmployee Perks including discounts on personal apparel and equipment!\nVarsity Brands companies are equal opportunity employers. 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