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Data Engineer Sports Analytics Jobs in Dallas, TX

Varsity Brands

Data Engineer I

Farmers Branch, TX · On-site

$110K - $132K/yr

JOIN THE BEST TEAM IN SPORT & SPIRIT At Varsity Brands, we believe every student deserves the ... Varsity Brands is building a modern enterprise data platform that powers analytics, reporting ...

Varsitybrands

Data Engineer I

Farmers Branch, TX

$110K - $132K/yr

JOIN THE BEST TEAM IN SPORT & SPIRIT At Varsity Brands, we believe every student deserves the ... Varsity Brands is building a modern enterprise data platform that powers analytics, reporting ...

Brooksource

Data Engineer

Dallas, TX · On-site

$55 - $60/hr

Analytics Engineer/Data Engineer Dallas, TX Hybrid: 3 days a week, 2 Days Remote $55-$60/hour - Depending on Experience 3 Month Contract to Hire - W-2 with Brooksource **U.S. Citizens and all other ...

Sally Beauty Holdings

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

This role works closely with senior Data Engineers, Data Architects, Analytics Engineers, and business stakeholders to develop data pipelines, transform and validate data, and support reporting ...

CosmoProf

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

This role works closely with senior Data Engineers, Data Architects, Analytics Engineers, and business stakeholders to develop data pipelines, transform and validate data, and support reporting ...

Sally Beauty Holdings

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

This role works closely with senior Data Engineers, Data Architects, Analytics Engineers, and business stakeholders to develop data pipelines, transform and validate data, and support reporting ...

Sally Beauty

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

This role works closely with senior Data Engineers, Data Architects, Analytics Engineers, and business stakeholders to develop data pipelines, transform and validate data, and support reporting ...

CosmoProf

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

This role works closely with senior Data Engineers, Data Architects, Analytics Engineers, and business stakeholders to develop data pipelines, transform and validate data, and support reporting ...

CosmoProf

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

This role works closely with senior Data Engineers, Data Architects, Analytics Engineers, and business stakeholders to develop data pipelines, transform and validate data, and support reporting ...

Sally Beauty

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

This role works closely with senior Data Engineers, Data Architects, Analytics Engineers, and business stakeholders to develop data pipelines, transform and validate data, and support reporting ...

Sally Beauty Holdings

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

This role works closely with senior Data Engineers, Data Architects, Analytics Engineers, and business stakeholders to develop data pipelines, transform and validate data, and support reporting ...

Sally Beauty Holdings

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

This role works closely with senior Data Engineers, Data Architects, Analytics Engineers, and business stakeholders to develop data pipelines, transform and validate data, and support reporting ...

Tiger Analytics

Lead Data Engineer - AWS

Dallas, TX · On-site

$113K - $136K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm seeking an experienced Senior Data Engineer to join their team. The role focuses on building scalable Generative AI architectures ...

Saxon Global

Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Data Engineer Frisco TX Individuals within the Data Engineering role work closely with business ... They analyze and develop logical and physical data models; data sourcing, transformation and ...

XTG

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... Partner with business stakeholders, analysts, and application teams to clarify data requirements ...

Bright Mind Solutions LLC

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

This is a hands-on engineering role with a focus on data modeling, transformation, and scalability ... Develop and optimize data models to support analytics, reporting, and machine learning workloads.

Tata Consultancy Service Limited

Data Engineer

Dallas, TX · On-site

$105K - $120K/yr

... analytics, reporting, and AI initiatives. • Perform source-to-target mapping and implement data ... engineering activities. • Implement data quality controls, reconciliation processes, and ...

Perficientcorp Inc

Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

GitHub, Jenkins, Azure DevOps, Terraform BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana Clear understanding on Data Warehousing concept Data Governance and Privacy:

Artius Solutions

Data Engineer

Dallas, TX · On-site

$60 - $65/hr

Job Title: Data Engineer Location: Dallas, TX Job Summary: As a Databricks Lead, you will be a ... Integrate Kafka with Databricks for seamless data processing and analysis. * Optimize Kafka ...

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Showing results 1-20

All JobsData Engineer Sports Analytics JobsData Engineer Sports Analytics Jobs in Dallas, TX

Data Engineer Sports Analytics information

See Dallas, TX salary details

$44K

$128.3K

$175.6K

How much do data engineer sports analytics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data engineer sports analytics in Dallas, TX is $128,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,000.00 per year, depending on experience, location, and employer.

What does a data engineer in sports analytics do?

A Data Engineer in Sports Analytics designs, builds, and maintains the infrastructure and systems that collect, store, and process large volumes of sports-related data. They ensure data pipelines are efficient and reliable so that analysts and data scientists can access accurate information for player performance analysis, game strategy, and business decisions. Their work involves integrating data from various sources, optimizing databases, and implementing best practices in data security and quality, all within the context of the sports industry.

What are the key skills and qualifications needed to thrive as a data engineer in sports analytics?

To thrive as a Data Engineer in Sports Analytics, you need a strong background in computer science, data modeling, and database management, typically supported by a relevant degree and experience with large data sets. Familiarity with tools and technologies such as SQL, Python, Spark, cloud platforms (AWS, Azure), and ETL pipelines is essential, and certifications in these areas can be advantageous. Excellent problem-solving, teamwork, and communication skills help you collaborate with analysts, coaches, and stakeholders to translate data into actionable insights. These competencies ensure the efficient collection, processing, and delivery of high-quality sports data that drive performance analysis and competitive advantage.

How does a data engineer in sports analytics typically collaborate with data scientists and analysts on a project?

As a Data Engineer in Sports Analytics, you’ll regularly work alongside data scientists and analysts to ensure high-quality, reliable data is available for modeling and analysis. Your responsibilities often include building and maintaining data pipelines, transforming raw sports data into usable formats, and optimizing data storage for performance. Effective communication is key, as you’ll need to understand the analytical requirements and adjust pipelines or data sources accordingly. Collaboration often happens through regular meetings, shared documentation, and close feedback loops to align on project goals and data needs.

What is the difference between Data Engineer Sports Analytics vs Data Analyst Sports Analytics?

AspectData Engineer Sports AnalyticsData Analyst Sports Analytics
Primary FocusBuilding and maintaining data pipelines, infrastructure, and databasesAnalyzing data, generating reports, and providing insights
Skills & CertificationsSQL, Python, data warehousing, cloud platformsExcel, SQL, statistical analysis, visualization tools
Work EnvironmentData engineering teams, IT infrastructureBusiness teams, sports analytics departments
Industry UsageSports organizations, tech companies supporting sports dataSports teams, media outlets, betting companies

While Data Engineer Sports Analytics focuses on building and maintaining the data infrastructure necessary for sports data analysis, Data Analyst Sports Analytics concentrates on interpreting that data to generate actionable insights. Both roles are essential in sports analytics but serve different functions within the data ecosystem.

What are popular job titles related to Data Engineer Sports Analytics jobs in Dallas, TX?

For Data Engineer Sports Analytics jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Data Engineer Sports Analytics jobs in Dallas, TX look for?

The top searched job categories for Data Engineer Sports Analytics jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Data Engineer Sports Analytics jobs?

Cities near Dallas, TX with the most Data Engineer Sports Analytics job openings:

Data Engineer Sports Analytics jobs near you

Data Engineer I

Varsity Brands

Farmers Branch, TX • On-site

$110K - $132K/yr

Full-time

Medical, Life, Retirement

Posted 18 days ago

Varsity Brands rating

7.4

Company rating: 7.4 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

21st of 62 rated fashion and textile manufacturers

Job description

JOIN THE BEST TEAM IN SPORT & SPIRIT
At 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.
LOCATION: 14460 Varsity Brands Way Farmers Branch, Tx - Varsity Brands HQ
WORK TYPE: Onsite
HOW YOU WILL MAKE AN IMPACT:
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

QUALIFICATIONS:
Knowledge, Skills, Abilities
The ideal candidate will demonstrate the following capabilities:
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

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

Physical Demands and/or Work Environment
The 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.
#LI_JF
Please 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.
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.
OUR 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
  • St. Jude Partnership & Volunteer Opportunities
  • Employee Perks including discounts on personal apparel and equipment!

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.

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