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Data Engineer Sports Analytics Jobs in Ohio (NOW HIRING)

Data Engineer

Macedonia, OH · Hybrid

$103K - $124K/yr

Implement and maintain data models that support reporting, analytics, and AI workloads. * Ensure ... Sports Subscription: Stay active with a Sportmaster subscription. * Vacation Days: Recharge and ...

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse seeks a Data Engineer I to support the development, maintenance, and ...

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse seeks a Data Engineer I to support the development, maintenance, and ...

Data Engineer

Mason, OH · On-site

$52 - $57/hr

Data Engineering Tech Lead (7-10+ Years Experience) Role Overview. * We are seeking an experienced ... Collaborate with Product Owners, Business Analysts, and Architects Work closely with cross ...

Data Engineer

Columbus, OH · Remote

$110K - $132K/yr

Of note, our Data Engineering Team is a highly technical group of results driven Engineers, Analysts and Architects focused on providing our internal and external clients with high quality ...

Data Engineer

Columbus, OH · Remote

$110K - $132K/yr

Of note, our Data Engineering Team is a highly technical group of results driven Engineers, Analysts and Architects focused on providing our internal and external clients with high quality ...

Data Engineer

Columbus, OH · On-site +1

$110K - $132K/yr

Of note, our Data Engineering Team is a highly technicalgroup of results driven Engineers, Analysts and Architectsfocused on providing our internal and external clients with high quality, repeatable ...

Data Engineer

Columbus, OH · Remote

$110K - $132K/yr

Of note, our Data Engineering Team is a highly technical group of results driven Engineers, Analysts and Architects focused on providing our internal and external clients with high quality ...

Data Engineer

Columbus, OH · On-site

$107K - $128K/yr

Of note, our Data Engineering Team is a highly technicalgroup of results driven Engineers, Analysts and Architectsfocused on providing our internal and external clients with high quality, repeatable ...

Data Engineer

Columbus, OH · On-site +1

$110K - $132K/yr

Of note, our Data Engineering Team is a highly technicalgroup of results driven Engineers, Analysts and Architectsfocused on providing our internal and external clients with high quality, repeatable ...

Data Engineer

Dayton, OH · On-site

$61K - $141K/yr

Here, you'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll sharpen your skills in analytical exploration ...

Data Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

Collect, analyze and document user requirements; * Participate in software validation process ... Company-sponsored social events and intramural sports Cincinnati Headquarters Experience * * A ...

Data Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

Collect, analyze and document user requirements; * Participate in software validation process ... Company-sponsored social events and intramural sports Cincinnati Headquarters Experience * * A ...

Data Engineer

Dayton, OH · On-site +1

$61K - $141K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... You'll sharpen your skills in analytical exploration and data examination while you support the ...

Data Engineer

Dayton, OH · On-site

$61K - $141K/yr

Here, you'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll sharpen your skills in analytical exploration ...

Data Engineer

Dayton, OH · On-site

$61K - $141K/yr

Here, you'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll sharpen your skills in analytical exploration ...

Data Engineer

Cincinnati, OH · On-site +1

$109K - $131K/yr

Predictive Analytics is seeking a Data Engineer to join our Business Data and Analytics department. In this role, you'll collaborate with claim and underwriting professionals, product managers, data ...

Posted today

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

ComResource is looking for a Data Engineer. We need someone to assist in calculating FDIC insurance ... Create custom software components and analytics applications. * Research and propose new uses for ...

Senior Data Engineer

Poland, OH · On-site +1

$91K - $124K/yr

This position is responsible for designing, developing, optimizing, and supporting enterprise data integration, reporting, and analytics solutions. The Senior Data Engineer plays a key role in ...

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Showing results 1-20

Data Engineer Sports Analytics information

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 job categories do people searching Data Engineer Sports Analytics jobs in Ohio look for?

The top searched job categories for Data Engineer Sports Analytics jobs in Ohio are:

What cities in Ohio are hiring for Data Engineer Sports Analytics jobs?

Cities in Ohio with the most Data Engineer Sports Analytics job openings:

Infographic showing various Data Engineer Sports Analytics job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

HSO Group B.V.

Macedonia, OH • Hybrid

$103K - $124K/yr

Full-time

Medical, PTO

Posted 19 days ago


Job description

At HSO, we're looking for a proactive and skilled Data Engineer to join our growing team. In this role, you'll design, build, and optimize modern data platforms that enable organizations to unlock the full value of their data. Working with Microsoft Fabric, Azure technologies, and modern engineering practices, you'll help deliver scalable, secure, and high-performing data solutions for our clients. 

About HSO 

At HSO, we're more than a global IT consultancy, we're a catalyst for innovation and growth. With over 2,800 professionals across 30+ countries, we help organizations transform their businesses through the power of Microsoft technologies. 

As a Microsoft Gold Certified Partner since 2002 and a proud member of the Microsoft Dynamics Inner Circle (top 1% of partners globally), we bring deep expertise in Dynamics 365, the Azure cloud platform, Data & AI, and our own industry-specific solutions. 

Key Responsibilities 

  • Design, develop, and maintain scalable data solutions using Microsoft Fabric, Azure Data Factory, and Azure technologies. 
  • Build, maintain, and optimize data pipelines using Python, PySpark, SQL, Microsoft Fabric, and Azure Data Factory. 
  • Develop and support ETL/ELT processes, data integration workflows, and orchestration solutions. 
  • Work with structured and unstructured data from multiple sources. 
  • Implement and maintain data models that support reporting, analytics, and AI workloads. 
  • Ensure data quality, governance, security, and compliance across data platforms. 
  • Monitor, troubleshoot, and optimize data pipelines, workflows, and platform performance. 
  • Collaborate with consultants, architects, and client stakeholders to deliver business-driven data solutions. 
  • Leverage AI-assisted development tools such as GitHub Copilot and Microsoft Copilot to improve productivity and code quality. 
  • Contribute to the continuous improvement of engineering standards, best practices, and technical documentation. 
  • Support CI/CD processes and automated deployment of data solutions. 

Requirements 

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 
  • 3+ years of experience in data engineering. 
  • Hands-on experience with Microsoft Fabric (required). 
  • Strong programming skills in Python and PySpark
  • Strong knowledge of SQL and data modelling principles. 
  • Experience designing and building modern data pipelines and ETL/ELT processes. 
  • Experience with Azure Data Factory (ADF) and data integration solutions. 
  • Experience with Azure data technologies and cloud-based data platforms. 
  • Familiarity with Data Lake, Lakehouse, and Data Warehouse concepts. 
  • Experience with Git, CI/CD pipelines, and DevOps practices. 
  • Experience using AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, or similar solutions. 
  • Strong analytical and problem-solving skills. 
  • Excellent communication skills and the ability to work in a collaborative, international environment. 

What We Offer 

  • Competitive Compensation & Bonus aligned with your experience and performance. 
  • Private Healthcare Insurance to support your well-being. 
  • Flexible Hybrid Work Model for better work-life balance. 
  • Global Exposure: Collaborate with international teams on large-scale projects for leading corporations. 
  • Learning & Development: Access Tech Updates sessions, team events, the Microsoft Learning Platform, free Microsoft certification exams, and tailored training programs to support your career and certification goals. 
  • Sports Subscription: Stay active with a Sportmaster subscription. 
  • Vacation Days: Recharge and unwind with 23 days of paid vacation. 
  • Career Growth Opportunities: Develop your expertise within a global Microsoft partner and collaborate with experienced professionals across international teams. 
  • Cutting-Edge Technology: Work with Microsoft Fabric, Azure Data Factory, AI-powered tools, and modern data engineering practices to deliver impactful solutions. 
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