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Data Engineer Sports Analytics Jobs in Georgia (NOW HIRING)

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

This role is focused on testing data and AI analytical models as data flows through a data lake architecture , ensuring accuracy, reliability, and performance. As a Quality Assurance Data Engineer ...

Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

... analysis. Develop, implement and manage ETL (Extract, Transform, Load) pipelines to collect ... as Data Engineer or Data Scientist or Database Engineer or DBA or Team Lead or Manager or ...

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

As a senior member of the team, you'll work closely with engineers, analysts, product managers, and ... FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and ...

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

As a senior member of the team, you'll work closely with engineers, analysts, product managers, and ... FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and ...

Data Engineer 4

Atlanta, GA · On-site

$110K - $132K/yr

The role involves building and optimizing data pipelines, supporting analytics, and leveraging AI tools to enhance data engineering tasks. Responsibilities : • Building, operating, and optimizing ...

Sr. Data Engineer - CX Analytics

Atlanta, GA · Remote

$110K - $132K/yr

We are seeking a Senior Data Engineer to join the CX Analytics team within our Customer Experience Organization. In this role, you will design, build, and maintain data solutions that enable BI ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... and analytical skills Previous experience to work as Data Engineer Ability to operate independently and proactively and drive the business forwards Intermediate Business modeling skills using Excel ...

Data Engineer IV

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer IV - Modern Enterprise / Lakehouse / AI-Assisted Location: 241 Ralph McGill Blvd, ... This role supports enterprise analytics, reporting, and AI-driven initiatives using a Lakehouse ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... and analytical skills Previous experience to work as Data Engineer Ability to operate independently and proactively and drive the business forwards Intermediate Business modeling skills using Excel ...

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer 3 Location: Atlanta/ Hybrid Client- Southern Co Gas Corp Contract- 1 Year Position ... This position ensures high-quality data analytics delivery by enforcing standards, executing ...

GCP Data Engineer

Alpharetta, GA

$111K - $134K/yr

The ideal candidate will have a strong background in data engineering, data modeling, and data analysis, and will be proficient in cloud-based architectures. You will be responsible for architecting ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Working alongside talented engineers, analysts, and business leaders, you'll influence enterprise-wide data strategy, champion modern cloud technologies, and help ensure Global Payments remains at ...

Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

Working alongside talented engineers, analysts, and business leaders, you'll influence enterprise-wide data strategy, champion modern cloud technologies, and help ensure Global Payments remains at ...

GA · On-site

Because we believe that soccer is more than a sport; it is a force for good. We understand the ... Applicants must be able to demonstrate visionary leadership, analytical decision-making ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Working alongside talented engineers, analysts, and business leaders, you'll influence enterprise-wide data strategy, champion modern cloud technologies, and help ensure Global Payments remains at ...

Showing results 41-60

Data Engineer Sports Analytics information

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 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.
What are popular job titles related to Data Engineer Sports Analytics jobs in Georgia? For Data Engineer Sports Analytics jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Engineer Sports Analytics jobs in Georgia look for? The top searched job categories for Data Engineer Sports Analytics jobs in Georgia are:
What cities in Georgia are hiring for Data Engineer Sports Analytics jobs? Cities in Georgia with the most Data Engineer Sports Analytics job openings:
Infographic showing various Data Engineer Sports Analytics job openings in Georgia 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 3

4pconsultinginc

Atlanta, GA • On-site

$110K - $132K/yr

Contractor

Re-posted 12 days ago


Job description

Position: Data Engineer 3 – Quality Assurance (AI & Data Platforms)

Location: Atlanta, Ga 30309

Duration: 10 Months

Client- Southern Company Gas


Position Overview

We are seeking an experienced Data Engineer – Quality Assurance to support data quality, testing, and validation across our AI-driven analytics platform. This role is focused on testing data and AI analytical models as data flows through a data lake architecture, ensuring accuracy, reliability, and performance.

As a Quality Assurance Data Engineer within the EDGE group, you will play a critical role in enforcing data quality standards, validating machine learning models, and supporting continuous improvement of our data and AI systems through both manual and automated testing.


Key Responsibilities

Data Quality & Testing

  • Design, develop, and execute data quality tests for data moving through relational systems and data lakes
  • Monitor, validate, and enforce data integrity, accuracy, and consistency
  • Identify, document, and resolve data issues across ingestion, transformation, and analytics layers

AI & Machine Learning QA

  • Implement QA testing strategies for AI and machine learning models
  • Validate model inputs, outputs, and performance against defined requirements
  • Work closely with data scientists and engineers to ensure reliable and trustworthy AI solutions
  • Support testing of model retraining, versioning, and deployment pipelines

Automation & Engineering

  • Develop and maintain automated testing frameworks for data pipelines and AI models
  • Write and maintain test scripts using Python and SQL
  • Apply strong data modeling principles to support scalable and testable architectures

Collaboration & Continuous Improvement

  • Partner with data engineers, ML engineers, and product teams to improve data and model quality
  • Support continuous improvement of QA processes and software development lifecycle
  • Document test plans, results, and quality metrics clearly for technical and business stakeholders

Experience

  • 5–10 years of experience in data engineering, data QA, or software testing
  • Hands-on experience testing data pipelines and analytics platforms
  • Experience supporting AI/ML model validation and testing

Technical Skills

  • Strong proficiency in Python and SQL
  • Deep understanding of data modeling and data lake architectures
  • Experience with automation testing tools and frameworks
  • Strong knowledge of machine learning concepts, workflows, and frameworks
  • Experience validating AI analytical models and data-driven systems