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Data Engineer Sports Analytics Jobs in Connecticut

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT

$115K - $138K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

W. R. Berkley Corporation

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

They are seeking a Data Engineer to design, build, and operate data platforms that support actuaries, analytics, modeling, and AI‑enabled workflows. Responsibilities : • Write ...

CVS Health

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Position Summary We are seeking a highly skilled Data Engineer to support enterprise data platforms that enable analytics, AI-driven insights, member communications, and business intelligence ...

Berkley

Data Engineer

Greenwich, CT

$128K - $154K/yr

Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses. * Apply AIassisted engineering approaches, including LLMenabled tools or agents, to improve data ...

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses. * Apply AI-assisted engineering approaches, including LLM-enabled tools or agents, to improve data ...

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses. * Apply AIassisted engineering approaches, including LLMenabled tools or agents, to improve data ...

Teamware Solutions

DATA Engineer

East Hartford, CT · On-site

$113K - $136K/yr

You will work closely with data architects, analysts, and business stakeholders to deliver robust ... Mentor junior engineers and conduct code reviews to uphold engineering best practices * Partner ...

Applied Aerospace & Defense

Data Engineer

Newington, CT

$114K - $136K/yr

The Data Engineer is a strategic technical role responsible for architecting, building, and sustaining the organizations modern data ecosystem, including cloud-based data platforms, analytics ...

Applied Aerospace & Defense

Data Engineer

Newington, CT

$114K - $137K/yr

The Data Engineer is a strategic technical role responsible for architecting, building, and ... Design and optimize scalable SQL and Python-based data transformations, algorithms, and analytics ...

PCX Aerosystems

Data Engineer

Newington, CT · On-site

$114K - $136K/yr

The Data Engineer is a strategic technical role responsible for architecting, building, and ... Design and optimize scalable SQL and Python-based data transformations, algorithms, and analytics ...

The Hartford

Data Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... Perform data analysis to ensure quality of data assets. * Perform preliminary exploratory analysis ...

The Hartford

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

As a Data Engineer, you will contribute to the development of scalable data platforms and production-ready data pipelines that enable analytics, machine learning, and AI solutions. Working closely ...

Interon IT Solutions

GCP Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Contract (W2) Role Overview Our client is seeking an experienced GCP Data Engineer to support enterprise data modernization and analytics initiatives. This role focuses on building and maintaining ...

The Subway

Sr Data Engineer

Shelton, CT · On-site

$114K - $137K/yr

  • Medical

  • Life

  • Retirement

Partner with Data Science and Analytics teams to operationalize models and AI workflows ... Raise engineering maturity by shipping working examples and codifying patterns. * Foster a culture ...

The Hartford

GCP Data Engineer

Hartford, CT · Hybrid

$115K - $138K/yr

Bachelor's degree in Computer Science, Engineering, Information Technology, Data Analytics, or a related field, or equivalent professional experience. * Experience with AI, agentic solutions ...

Pwc

Data Engineer - Manager

Hartford, CT · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

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All JobsData Engineer Sports Analytics JobsData Engineer Sports Analytics Jobs in Connecticut

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 Connecticut?

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

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

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

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

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

Data Engineer Sports Analytics jobs near you
Infographic showing various Data Engineer Sports Analytics job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

GenAI Data Engineer

Tiger Analytics Inc.

Hartford, CT

$115K - $138K/yr

Full-time

Re-posted 19 days ago

Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer with expertise in Dataiku to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements

  • Design and implement robust data pipelines that ingest, process, and store unstructured data formats at scale within Snowflake and GCP.
  • Leverage Snowflake's unstructured data capabilities (Directory Tables, Scoped URLs, Snowpark) to make "dark data" queryable and actionable.
  • Build and maintain cloud-native ETL/ELT processes using BigQuery, Cloud Storage, and Dataflow, ensuring seamless integration between GCP and Snowflake.
  • Instead of just using LLMs, you will integrate AI tools (OCR, NLP entities, Document AI) into the engineering flow to transform unstructured blobs into structured insights.
  • Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments efficiently.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

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