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Data Engineer Sports Analytics Jobs in Tennessee

We use our data infrastructure to power analytics and data products and to deliver relevant ... Work with data engineers, data architects, data scientists, and other internal stakeholders to ...

We use our data infrastructure to power analytics and data products and to deliver relevant ... Work with data engineers, data architects, data scientists, and other internal stakeholders to ...

We use our data infrastructure to power analytics and data products and to deliver relevant ... Work with data engineers, data architects, data scientists, and other internal stakeholders to ...

We use our data infrastructure to power analytics and data products and to deliver relevant ... Work with data engineers, data architects, data scientists, and other internal stakeholders to ...

Principal Data Engineer

Goodlettsville, TN · On-site

$107K - $129K/yr

The Principal Data Engineer supports software developers, database architects, data analysts, and data scientists on data initiatives, ensuring optimal data delivery and architecture. This position ...

Data Engineer

Knoxville, TN · Hybrid

$109K - $131K/yr

Contribute to analytics, search, and aggregation capabilities across data platforms. * Participate ... Strong programming experience in Java, Python, or Scala, with Java preferred. * Working knowledge ...

Data Engineer III

Memphis, TN

$119K - $143K/yr

What You'll Be Doing The Data Engineer III is responsible for designing, developing, and ... Ability to analyze complex data sets, identify patterns, and derive actionable insights.

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

What You'll Be Doing The Data Engineer III is responsible for designing, developing, and ... Ability to analyze complex data sets, identify patterns, and derive actionable insights.

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

The Data Engineer III works with large volumes of data, ensuring its quality, reliability, and ... Ability to analyze complex data sets, identify patterns, and derive actionable insights.

Data Engineer

Nashville, TN

$110K - $132K/yr

Contract Contract Length: 12-months Position Summary The Data Engineer as part of the Data ... Specific expertise/experience in data analysis, modeling and visualization required. * Specific ...

Data Engineer III

Memphis, TN · On-site

$111K - $133K/yr

... analytical thinking and problem-solving abilities are essential to effectively identify and resolve data-related issues. • Ability to analyze complex data sets, identify patterns, and derive ...

Senior Data Engineer

Nashville, TN · On-site

$102K - $139K/yr

The Capacity Data Analytics team plays a strategic role in enabling OCI's continued growth by ... Partner with engineering, finance, product, and business stakeholders to understand requirements ...

Senior Data Engineer

Nashville, TN · On-site

$102K - $139K/yr

The Capacity Data Analytics team plays a strategic role in enabling OCI's continued growth by ... Partner with engineering, finance, product, and business stakeholders to understand requirements ...

Senior Data Engineer

Memphis, TN · On-site

$103K - $139K/yr

Collaborate with data scientists, analysts, and software engineers to deliver high-performance data ... solutions. * Automate data workflows using cicd, and other cloud tools . * Monitor and troubleshoot ...

Senior Data Engineer

Nashville, TN · On-site

$94K - $118K/yr

We are seeking a Senior Data Engineer to support the evolution of an enterprise customer profile ... Strong analytical and problem-solving skills with the ability to solve complex technical challenges

Senior Data Engineer

Nashville, TN · On-site

$94K - $118K/yr

We are seeking a Senior Data Engineer to support the evolution of an enterprise customer profile ... Strong analytical and problem-solving skills with the ability to solve complex technical challenges

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 ...

Showing results 21-40

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 Tennessee look for?

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

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

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

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

Principal Data Engineer - CX Analytics

Unum UK

Chattanooga, TN • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Job description

Job Posting End Date: August 15

When you join the team at Unum, you become part of an organization committed to helping you thrive.

Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide:

  • Award-winning culture

  • Inclusion and diversity as a priority

  • Performance Based Incentive Plans

  • Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability

  • Generous PTO (including paid time to volunteer!)

  • Up to 9.5% 401(k) employer contribution

  • Mental health support

  • Career advancement opportunities

  • Student loan repayment options

  • Tuition reimbursement

  • Flexible work environments

*All the benefits listed above are subject to the terms of their individual Plans.

And that's just the beginning...

With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you're directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today!

General Summary:We are seeking a Principal Data Engineer to join the CX Analytics team within our Customer Experience Organization. In this role, you will lead the design and implementation of data solutions that enable BI/reporting and advanced analytics across the team, ensuring data is accessible, reliable, and structured for meaningful use across our team. You will build and maintain scalable data pipelines, develop and optimize data models, and integrate new data sources across the ecosystem, including both structured and unstructured data. A core focus of the role is enabling analytics through automation and advancing how we leverage AI-developing and supporting pipelines that incorporate unstructured data and LLM-based workflows to extract signal from sources such as raw text.
As a hands-on technical leader, you will define standards and best practices for data engineering while mentoring other engineers and partnering closely with BI Analysts and Data Scientists to support their work. You will help shape how data flows through the team, ensuring environments, pipelines, and datasets are built with quality, scalability, and usability in mind. The ideal candidate is a strong problem solver and collaborator who can work across technologies and data domains, guide technical direction, and consistently enable the team to deliver high-quality analytics that support better decision-making across the organization.
This is a campus-based role. Current remote and field-based Unum employees may apply and will be considered in accordance with company policy.

Principal Duties and Responsibilities

  • Proactively partner with the business to provide development, construction, testing, and maintenance of data pipelines that support the needs of the business.
  • Integrate large volume of highly complex data from different sources (including DB2, SQL Server, Web API and Teradata).
  • Apply validation, aggregation, and reconciliation techniques to create a rich data framework.
  • Work closely with the data scientists and business partners to understand the business problem they are trying to solve and the analytics solutions they plan to apply. Use this understanding to create appropriate data structures tailored for the specific problem.
  • Build and maintain best practices for team's data engineering strategy; as well as staying informed of best practices across industries and striving for innovation and efficiency.
  • Understand and contribute to the evolution of the enterprise data architecture including the application of current and emerging data frameworks and tools (eg hosting data in Cloud).
  • Efficiently prepares results for interpretation and/or visualization and communicates findings and potential value to influence strategic decision making.
  • Support integration of solutions within existing business processes using automation techniques.
  • Continuously research and build upon deep understand theory and application of current and emerging software and data engineering practices.
  • Provides support, training and/or mentorship to lower level Data Engineer peers.
  • Perform other related duties as assigned

Job Specifications

  • Bachelor's degree in quantitative field is required, Master's or PhD is preferred
  • 8 years of professional experience or equivalent relevant work experience preferred
  • Core Data Engineer Capabilities: Deep expertise in each of the following skillsets is preferred:
  • Software Engineering: Expertise in at least one relevant object-oriented programing language (i.e. Java/Scala, Python). Experience in DevOps best practice including CI/CD, process automation and optimization.
  • Data Architecture and Infrastructure: Good understanding of data architecture principles and related infrastructure requirements, covering on-prem and Cloud platforms.
  • Holistic Data Preparation: The ability to understand and present data in the appropriate context, including a good understanding how the data will build towards a business solution.
  • Data Extraction, Transform & Load: Preferred skills include: Expertise in writing complex SQL queries that join multiple tables/databases. Independently explore databases/tables or other legacy data content to identify best data sources to solve business problems. Demonstrates ability to troubleshoot complex SQL queries with little guidance. Demonstrates ability to create logical data models by combining data from multiple sources including internal and external data
  • Core business capabilities: Demonstrated communication skills, experience in financial services, leadership experience working with senior management and executive leadership, and attention to detail while effectively and independently prioritizing work and managing multiple projects simultaneously. Demonstrated ability to understand and explain a problem and identify and communicate an appropriate solution.
  • Leadership Capabilities: Leader within their field, both internally and externally. Naturally effective coach and mentor, actively engages peers and team members, especially within areas of expertise. Viewed as a leader in change management. Maintains depth of technical understanding of third party/cloud solutions.
  • This position may have key leadership responsibilities, including:
  • People Management: Actively participates in determining staffing needs of the team, including hiring and development. Leads assigned team in the completion of requested activities and projects.
  • Engineering strategic and program management for their organization: Coaches, mentors, and helps build team. Proactively identifies and researches new approaches and skills needed for performing data science and advanced analytics.
  • Preferred characteristics: Entrepreneurial self-starter. A thorough, results-oriented problem-solver, and a lifelong learner with voracious curiosity. Deep expertise in their organization. Demonstrates ability to conduct independent research and development of techniques that may be shared internally and externally.

#LI-TO1

#LI-MULTI

~IN4

Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.

Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.

The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.

$109,100.00-$224,000.00

Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans.

Company:

Unum