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Data Engineer Sports Analytics Jobs in Kentucky (NOW HIRING)

$120 - $170/hr

Immerse yourself in sports analytics research * Empirically test ideas using real industry data ... Strong, practical computer programing skills * Demonstrated experience working on sports analytics ...

$106K - $127K/yr

Develop analytical models, AI-enabled solutions, and decision-support capabilities that drive business value. Work closely with Data Engineering, MDM, and business stakeholders toidentify,validate ...

$120 - $180/hr

We are looking for an experienced Data Architect/Data engineer to design and implement scalable data solutions that support business analytics, reporting, and enterprise data needs. The ideal ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

$99 - $142/hr

This initiative supports enhanced investment decision making, risk management, analytics, and ... The Investment Data Management Office is seeking a Senior Investment Data Engineer to support the ...

$268 - $289/hr

Principal Data Engineer Job Requisition: 1010.1323.7 / R265296 Job Location: San Jose, California ... Collaborate with business stakeholders, data scientists, and analysts to translate business ...

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SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Partner with Analytics Engineering to deliver clean, curated data that supports enterprise reporting and self-service analytics. * Establish reusable engineering patterns, documentation, and ...

Senior Data Engineer

Louisville, KY · On-site

$101K - $138K/yr

Partner with business analysts, product owners, and stakeholders to understand and translate ... Strong Python programming experience * Experience building scalable data pipelines and ...

SENIOR DATA ENGINEER

Erlanger, KY

$104K - $142K/yr

Partner with Analytics Engineering to deliver clean, curated data that supports enterprise reporting and self-service analytics. * Establish reusable engineering patterns, documentation, and ...

SENIOR DATA ENGINEER

Erlanger, KY

$104K - $142K/yr

Partner with Analytics Engineering to deliver clean, curated data that supports enterprise reporting and self-service analytics. * Establish reusable engineering patterns, documentation, and ...

Senior Data Engineer

Louisville, KY

$101K - $138K/yr

Partner with business analysts, product owners, and stakeholders to understand and translate ... Strong Python programming experience * Experience building scalable data pipelines and ...

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Partner with Analytics Engineering to deliver clean, curated data that supports enterprise reporting and self-service analytics. * Establish reusable engineering patterns, documentation, and ...

$71 - $107/hr

Exposure to ETL/ELT projects, data warehouse design, analytics pipelines, and capstone data engineering * Willingness to travel up to 100%, based on project requirements. Preferred technical and ...

$130 - $170/hr

Work with data architects, scientists, and analysts to deliver self‑service data platforms and ... Strong programming skills in: SQL, Python, Java and/or Scala. * Hands‑on experience with ...

New

$71 - $107/hr

Exposure to ETL/ELT projects, data warehouse design, analytics pipelines, and capstone data engineering * Willingness to travel up to 100%, based on project requirements. Preferred technical and ...

$180 - $200/hr

Background in business analysis, solutions architecture, or pre-sales engineering * Microsoft ... Fabric or Azure Data Engineer certifications * Health Care Plan (Medical, Dental & Vision)

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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 are popular job titles related to Data Engineer Sports Analytics jobs in Kentucky?

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

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

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

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

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

Infographic showing various Data Engineer Sports Analytics job openings in Kentucky 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.

Quantitative Sports Researcher - Graduate Hire

Trading Interview

On-site

$120 - $170/hr

Other

Posted 9 days ago


Job description

Job Type Full-time

Posted August 2019

The role

Job description Overview

At Susquehanna, the Sports Analytics team builds statistical forecasting models that help provide liquidity for the sports betting industry. These models are vital to creating new trading strategies and informing decision-makers about the distribution of game events. By joining our Sports Analytics team as a Quantitative Researcher, you will be part of a group that is passionate about mathematics, gaming, and technology.

What you'll do:
  • Immerse yourself in sports analytics research
  • Empirically test ideas using real industry data
  • Write programs to implement models and simulate outcomes
  • Discuss and collaborate with fellow researchers, traders, and technologists
What we're looking for:
  • Graduating Master's or PhD students in a quantitively-driven field
  • Solid, analytical problem-solving skills and excellent logical reasoning
  • Exceptional communication skills, both in the ability to understand others and to make yourself clearly understood
  • Strong, practical computer programing skills
  • Demonstrated experience working on sports analytics projects
  • Understanding of US Sports (NFL, NBA, MLB, NHL) and world sports (soccer, tennis, golf, cricket)
  • Intermittent international travel may be required
About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.

This description was published by Susquehanna International Group (SIG). Applications are handled on their careers site: we are not the employer and cannot process them.

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