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Data Engineer Sports Analytics Jobs in Indiana (NOW HIRING)

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers ... Snowflake Data Engineer | About You As a Snowflake Data Engineer, you are responsible for ...

Data Engineer

Carmel, IN · On-site

$110K - $120K/yr

Data Engineers build data pipelines that transform raw, unstructured data into formats that can be ... They are responsible for creating and maintaining the analytics infrastructure that enables almost ...

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers ... Snowflake Data Engineer | About You As a Snowflake Data Engineer, you are responsible for ...

Data Engineer

South Bend, IN · On-site

$112K - $134K/yr

Build and optimize data models to support analytics and reporting use cases * Ensure data quality ... Familiarity with DevOps practices (CI/CD, version control) * Experience working in a lakehouse ...

Data Engineer

South Bend, IN

$112K - $134K/yr

Build and optimize data models to support analytics and reporting use cases * Ensure data quality ... Familiarity with DevOps practices (CI/CD, version control) * Experience working in a lakehouse ...

Data Engineer

South Bend, IN · On-site

$112K - $134K/yr

Build and optimize data models to support analytics and reporting use cases * Ensure data quality ... Familiarity with DevOps practices (CI/CD, version control) * Experience working in a lakehouse ...

Databricks Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ... You will work with business and technology teams to modernize data environments, support analytics ...

Data Engineer

Fort Wayne, IN · Hybrid

$113K - $135K/yr

Position Summary The Data Analyst will be primarily responsible for creating and maintaining DMA ... and engineers to improve efficiency and data organization; improve performance through data ...

Data Engineer

Indianapolis, IN · Hybrid

$109K - $131K/yr

Position Summary The Data Analyst will be primarily responsible for creating and maintaining DMA ... and engineers to improve efficiency and data organization; improve performance through data ...

Data Engineer II

Fort Wayne, IN · On-site

$113K - $135K/yr

Data Engineer II FLSA Status: Exempt Job Family: IT - Business Intelligence Department: IT - Busin ... Analyze data to identify gaps, inconsistencies, and quality issues, contributing to the continuous ...

Fabric Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

This role focuses on building reliable, performant data pipelines and analytical data products that drive meaningful business insights across the organization. The Fabric Data Engineer brings a ...

Fabric Data Engineer

Fort Wayne, IN

$104K - $125K/yr

This role focuses on building reliable, performant data pipelines and analytical data products that drive meaningful business insights across the organization. The Fabric Data Engineer brings a ...

Data Engineer II

Fort Wayne, IN · On-site

$113K - $135K/yr

Data Engineer II FLSA Status: Exempt Job Family: IT - Business Intelligence Department: IT - Busin ... Analyze data to identify gaps, inconsistencies, and quality issues, contributing to the continuous ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Our team has an immediate opening for a full-time, Sr. Data Engineer. If the idea of working on ... Excellent communication, analytical and problem-solving skills * At least 2 years of development ...

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 ...

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

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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, and why are they important?

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 job categories do people searching Data Engineer Sports Analytics jobs in Indiana look for? The top searched job categories for Data Engineer Sports Analytics jobs in Indiana are:
What cities in Indiana are hiring for Data Engineer Sports Analytics jobs? Cities in Indiana with the most Data Engineer Sports Analytics job openings:
Snowflake Data Engineer

Snowflake Data Engineer

Onebridge

Indianapolis, IN • On-site

$109K - $131K/yr

Full-time

Posted 8 days ago


Job description

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled Snowflake Data Engineer to join our innovative and dynamic team.
Snowflake Data Engineer | About You
As a Snowflake Data Engineer, you are responsible for transforming complex, raw data into trusted, authoritative sources that power analytics and business decision-making. You thrive in fast-paced, agile environments and enjoy designing scalable data solutions that integrate across cloud platforms. You bring strong expertise in Snowflake, Azure, SQL, and ETL development, and you're comfortable working across the full data lifecycle, from ingestion through analytics enablement. You collaborate effectively with technical and business stakeholders to deliver high-quality, reliable data products. You also bring a strong passion for AI-assisted development and modern "vibe coding," actively leveraging intelligent tools to accelerate development, improve code quality, and explore innovative data engineering patterns.
Snowflake Data Engineer | Day-to-Day
  • Design, build, and maintain scalable, reliable data pipelines using Snowflake, Azure, and modern ETL frameworks.
  • Develop and optimize SQL-based transformations and data models that support enterprise reporting, analytics, and data products.
  • Partner with business, analytics, and engineering teams to create authoritative data sources that enable self-service analytics and commercialization.
  • Support and enhance data integration processes, including modernization of legacy ingestion and transformation workflows.
  • Collaborate with BI and analytics teams to enable reporting and self-service analytics using platforms such as Power BI or Sigma, ensuring data accuracy and accessibility.
  • Participate in Agile delivery practices using tools such as Jira and ServiceNow, contributing to planning, documentation, and continuous improvement.
  • Actively apply AI-powered coding tools and automation techniques to streamline development workflows, improve efficiency, and experiment with emerging capabilities.

Snowflake Data Engineer | Skills & Experience
  • 5+ years of experience in data engineering, data architecture, or a related technical discipline.
  • Strong hands-on experience with Snowflake, including data modeling, performance optimization, and large-scale transformation workloads.
  • Required expertise in Azure, SQL, and ETL development, supporting cloud-based data platforms and integrations.
  • Experience designing, building, and maintaining enterprise-grade data pipelines and transformation frameworks.
  • Familiarity with Agile methodologies and tools such as Jira and ServiceNow.
  • Experience supporting analytics and reporting platforms such as Power BI or Sigma, with an understanding of self-service analytics principles.
  • AI-assisted development experience is required, including hands-on use of tools such as Claude Code, GPT-based assistants, Cursor, Kizer, or similar technologies to enhance productivity and innovation.
  • Experience working with healthcare or regulated industry data is a strong plus, including awareness of data quality, governance, and sensitivity considerations.

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