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Data Engineer Sports Analytics Jobs in Raleigh, NC

Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/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 ...

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Position Summary The Data Engineer sits within the Data & Analytics organization and supports the ... development and ongoing improvement of Sennos' modern data platform. This role focuses on building ...

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Work cross-functionally with engineers, analysts, and stakeholders to understand requirements and deliver data solutions that support sprint-based delivery. * Support pod-level delivery by producing ...

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions ...

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions ...

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Analyze data, identify issues and patterns, and implement innovative solutions. * Collaborate with ... Support DevOps and CI/CD practices using tools such as Git, Jenkins, Maven, and Docker. * Ensure ...

Data Engineer

Durham, NC · On-site

$103K - $124K/yr

Analyze data, identify issues and patterns, and implement innovative solutions. * Collaborate with ... Support DevOps and CI/CD practices using tools such as Git, Jenkins, Maven, and Docker. * Ensure ...

Data Engineer

Cary, NC

$90K - $150K/yr

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics. * Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ...

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics. * Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ...

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

... analytics solutions, and cloud-based data platforms. MANDATORY - MUST HAVE: * Experience in ... Programming Languages: Strong proficiency in Python or Scala for data processing. * SQL Mastery:

Data Engineer

Durham, NC · On-site

$57 - $63/hr

Bachelor's degree in Computer Science, Data Engineering, Data Science, Bioinformatics, Statistics ... Strong analytical, problem-solving, and technical communication skills. Preferred Qualifications

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Deliver end-to-end data and analytics capabilities, including data ingest, data transformation ... Other programming languages (R, Scala, SAS, Java, etc.) are a plus. * Data and analytics ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Deliver end-to-end data and analytics capabilities, including data ingest, data transformation ... Other programming languages (R, Scala, SAS, Java, etc.) are a plus. * Data and analytics ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Deliver end-to-end data and analytics capabilities, including data ingest, data transformation ... Other programming languages (R, Scala, SAS, Java, etc.) are a plus. * Data and analytics ...

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

As the Data Engineer, you will design and build the data infrastructure that makes Vulcan ... Define data models that support operational queries, analytical workloads, and future AI and ML ...

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

As the Data Engineer, you will design and build the data infrastructure that makes Vulcan ... Define data models that support operational queries, analytical workloads, and future AI and ML ...

By integrating data from disparate sources and applying advanced analytics, we help organizations ... Kognitiv Edge is seeking aData Engineer IIIto lead the design, development, and evolution of the ...

Entry Level Data Engineer

Durham, NC · On-site

$103K - $124K/yr

Entry Level Data Engineer We are hiring a Data Engineer to support the design and maintenance of ... with cloud data platforms Support analytics teams Requirements Knowledge of SQL and Python ...

New

Lead Data Engineer

Raleigh, NC · On-site +1

$129K - $190K/yr

Strong analytical, troubleshooting, and problem-solving skills. * Ability to work independently and ... Data Engineering experience delivering enterprise-scale data solutions. * 5+ years of experience ...

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Showing results 1-20

Data Engineer Sports Analytics information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

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

As of Jul 14, 2026, the average yearly pay for data engineer sports analytics in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

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.

How much do NFL data analysts make?

NFL data analysts typically earn between $60,000 and $100,000 annually, depending on experience, education, and the level of responsibility. These roles often require proficiency in data analysis tools, programming languages, and sports analytics knowledge. Salaries can vary based on the organization and geographic location.

Can a data analyst work in sports?

A data analyst can work in sports by analyzing player performance, game statistics, and team data to support decision-making. Skills in data visualization, statistical analysis, and tools like SQL and Python are commonly used in sports analytics roles. Transitioning to sports analytics often requires knowledge of the sport and relevant data sources.

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 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, and why are they important?

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.

Do NFL teams hire data analysts?

Yes, NFL teams often hire data analysts and data engineers to analyze player performance, game strategies, and injury data. These roles typically require skills in data management, statistical analysis, and familiarity with sports analytics tools like R or Python. Data professionals help teams make data-driven decisions to improve performance and competitiveness.

Is 40 too late for data science?

For a Data Engineer in sports analytics, starting a career at 40 is feasible, especially with relevant skills in programming, data management, and analytics tools. Many professionals transition into data roles later in life, and experience in related fields can be an advantage. Continuous learning and certifications can help accelerate entry into the field regardless of age.
What cities near Raleigh, NC are hiring for Data Engineer Sports Analytics jobs? Cities near Raleigh, NC with the most Data Engineer Sports Analytics job openings:

Data Engineer

XTG

Raleigh, NC • On-site, Remote

$111K - $133K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 28 days ago


Job description

The Data Engineer role is responsible for designing, building, and maintaining scalable data pipelines, integrations, and data models that support enterprise reporting, analytics, data migration, and operational decision-making. This role works within established architectural frameworks while contributing to the continued modernization of XTG’s data platform. This role plays a key part in supporting the organization’s transition to modern cloud-based data platforms, including Microsoft Fabric, Power BI, Azure DevOps, and Dynamics 365 data integration initiatives.

The Exponential Technology Group (XTG) is a specialist in the electronic component distribution and design engineering services industries.  XTG is part of the TTI Family of Companies. This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or Raleigh-Durham

ACCOUNTABILITIES: 

Design, develop, test, and maintain data pipelines, dataflows, notebooks, and integration processes across enterprise systems.

Build and support data ingestion frameworks using Microsoft Fabric, Lakehouse/Warehouse architecture, SQL, and cloud-based data engineering patterns.

Develop and maintain Bronze, Silver, and Gold layer data structures to support reporting, analytics, and downstream business processes.

Create scalable ETL/ELT processes to extract, cleanse, transform, and load data from ERP, CRM, operational, and third-party systems.

Partner with business stakeholders, analysts, and application teams to clarify data requirements and translate them into technical solutions.
Support data migration and integration efforts related to Dynamics 365 and other enterprise platform initiatives.
Develop and maintain SQL queries, stored procedures, views, data models, and transformation logic.
Implement data quality checks, validation rules, logging, error handling, and monitoring within data pipelines.
Troubleshoot and resolve issues related to data accuracy, pipeline failures, source system changes, performance, and integration errors.
Contribute to data architecture, governance, naming standards, documentation, and reusable engineering patterns.
Use Azure DevOps, Git, branching strategies, and CI/CD practices to manage source control and deployment of data engineering assets.
Collaborate with reporting and analytics teams to support Power BI semantic models, dashboards, and enterprise reporting needs.
Provide guidance and support to junior team members, analysts, or business users as needed.
Continuously expand technical knowledge across Microsoft Fabric, Azure, Power BI, Dynamics 365, and modern data engineering practices.
Additional duties as assigned.

 

EDUCATION & EXPERIENCE

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field, or equivalent professional experience.

4+ years of professional experience in data engineering, business intelligence, analytics engineering, or enterprise data integration.

Experience building and maintaining data pipelines, ETL/ELT processes, data warehouses, lakehouses, or cloud-based analytics platforms.

Experience working with enterprise systems such as ERP, CRM, financial, operational, or supply chain platforms preferred.

Experience supporting data migration, system integration, or enterprise reporting initiatives preferred.

SKILLS & CERTIFICATIONS

  • Strong SQL development skills, including query optimization, joins, aggregations, views, stored procedures, and data validation logic.
  • Hands-on experience with Microsoft Fabric, Azure Synapse, Azure Data Factory, Databricks, or similar cloud data platforms.
  • Working knowledge of Power BI, semantic models, data modeling, and reporting data structures.
  • Ability to work independently on complex technical tasks while collaborating with business and technical stakeholders.
  • Strong documentation skills, including technical designs, data mappings, source-to-target logic, and operational procedures.
  • Exposure to or interest in AI-assisted development, automation, metadata-driven frameworks, or agentic AI tooling.
  • Microsoft certifications related to Fabric, Azure Data Engineering, Power BI, or Data Fundamentals preferred but not required.

What we offer our team members: 

  • A great benefits package that includes (but is not limited to): Medical/ Dental/ Vision, 401(k)/Roth plan with matching, Healthcare Savings Accounts.
    Educational Assistance (Tuition Reimbursement).
  • Ongoing training throughout your employment with opportunities to participate in professional and personal development programs.
  • A strong focus on giving back to our communities through philanthropic opportunities.
  • Great culture and opportunities for growth and advancement.

This is a summary of the primary accountabilities and requirements for this position.  The company reserves the right to modify or amend accountabilities and requirements at any time at its sole discretion based on business needs.  Any part of this job descriptions is subject to possible modification to reasonably accommodate individuals with disabilities. 

This position requires use of information or access to hardware which is subject to the International Traffic in Arms Regulations (ITAR). To perform the position, you must be a U.S. Person as defined by ITAR. ITAR defines a U.S. person as a U.S. Citizen, U.S. Permanent Resident (i.e. ‘Green Card Holder’), Political Asylee, or Refugee.

Visa sponsorship is not available for this role.  Only candidates authorized to work in the United States will be considered. 

 XTG is an Equal Opportunity Employer, and we support protected veterans and individuals with disabilities through our affirmative action program.