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Data Engineer Sports Analytics Jobs in Indiana (NOW HIRING)

SEP

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

Implement data models for analytics use cases * Write data quality checks and tests for data ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

The AES Group

Microsoft Fabric Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... advanced analytics, and AI-driven scientific insights The Data Engineer is a hands-on builder ... responsible for developing data pipelines, API integrations, and AI infrastructure that bring ...

Vergence

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/yr

You will partner closely with data architects, analytics engineers, data scientists, business stakeholders, and platform engineering teams to deliver reliable, performance, secure, and costefficient ...

Johnson & Johnson

Staff Data Engineer

Warsaw, IN

Data Analytics & Computational Sciences Job Sub Function: Data Engineering Job Category: Scientific/Technology All Job Posting Locations: Mooresville, Indiana, United States of America, Palm Beach ...

Jj

Staff Data Engineer

Warsaw, IN

Data Analytics & Computational Sciences Job Sub Function: Data Engineering Job Category: Scientific/Technology All Job Posting Locations: Mooresville, Indiana, United States of America, Palm Beach ...

Jj

Staff Data Engineer

Mooresville, IN

Data Analytics & Computational Sciences Job Sub Function: Data Engineering Job Category: Scientific/Technology All Job Posting Locations: Mooresville, Indiana, United States of America, Palm Beach ...

Haynes International

Data Analytics Engineer

Kokomo, IN · On-site

$101K - $121K/yr

The analytics engineer makes sure data is ingested, transformed, scheduled, and ready to be used for analytics. This role is responsible for designing, implementing, and maintaining data pipelines ...

Theoris

Junior Data Engineer (no c2c)

Indianapolis, IN · On-site

$109K - $131K/yr

Junior Data Engineer (No C2C) LOCATION: Hybrid in Indianapolis INDUSTRY: Government JOB OVERVIEW ... Strong analytical and troubleshooting skills. * Excellent attention to detail and commitment to ...

Allied Solutions LLC

Senior Data Engineer

Carmel, IN · On-site

$105K - $143K/yr

The Senior Data Engineer plays a critical role in the successful execution of Allied's Data ... Conducts gap analysis on source system databases against Allied's enterprise data warehouse in ...

Allied Solutions, LLC

Senior Data Engineer

Carmel, IN · On-site

$120 - $160/hr

The Senior Data Engineer plays a critical role in the successful execution of Allied's Data ... Conducts gap analysis on source system databases against Allied's enterprise data warehouse in ...

Allied Solutions LLC

Senior Data Engineer

Carmel, IN · On-site

$105K - $143K/yr

The Senior Data Engineer plays a critical role in the successful execution of Allied's Data ... Conducts gap analysis on source system databases against Allied's enterprise data warehouse in ...

Caraa

Principal Data Engineer

Indianapolis, IN · On-site

$150 - $190/hr

Today, production and analytical workloads share a single database, and every product team defines ... As Principal Data Engineer , you'll architect Gather AI's data foundation from the ground up ...

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Showing results 41-60

All JobsData Engineer Sports Analytics JobsData Engineer Sports Analytics Jobs in Indiana

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 Indiana?

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

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:

Data Engineer Sports Analytics jobs near you

Data Engineer (in person)

SEP

Westfield, IN • On-site

$109K - $131K/yr

Full-time

Re-posted 18 days ago

Job description

SEP is looking for a data engineer to join our growing data practice and deliver data solutions for our clients. We've been helping companies build great software products since 1988 in a wide range of industries and technologies, and more and more of these products are powered by data. Our clients want us to apply the same engineering rigor we bring to software development to their data pipelines and data platforms. You'll spend your days building, testing, and shipping data systems that real clients depend on. 
What we have to offer
  • Variety on every axis - tools, technologies, market sectors, methodologies 
  • Flexible, reasonable work schedules 
  • Extensive opportunities to learn and develop yourself 
  • A community of friendly, talented, and effective peers 
  • Opportunities to try out different roles with minimal risk 
  • Gorgeous facilities 
What you'll be doing
  • Build and maintain data pipelines and transformations (batch and streaming) 
  • Implement data models for analytics use cases 
  • Write data quality checks and tests for data pipelines 
  • Configure orchestration and workflow tooling to support delivery 
  • Implement infrastructure as code for data platforms 
  • Investigate and resolve pipeline failures and performance issues 
  • Participate in peer code review and contribute to team documentation 
  • Communicate progress, blockers, and risks to the team and stakeholders 
  • Support client meetings in a technical capacity 
Key attributes for applicants
  • A passion for great products, software development, and learning 
  • Strong SQL skills with working proficiency in Python; experience with Spark, Scala, R, or C# is a plus 
  • Practical experience in data pipeline development, ideally in both batch and streaming patterns 
  • Understanding of data modeling patterns for analytics (dimensional modeling, normalized data models, lakehouse concepts) 
  • Hands-On experience with at least one cloud data platforms (Azure preferred, AWS and GCP experience also valued) 
  • Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift 
  • Familiarity with orchestration and workflow management (Apache Airflow, Databricks Workflows, Temporal, or similar) 
  • Experience writing tests and data quality checks for pipelines 
  • Exposure to infrastructure as code tooling (Terraform, ARM/Bicep) and CI/CD pipelines (GitHub Actions or similar) is a plus 
  • Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog, Microsoft Purview) is a plus 
  • Applies software engineering best practices to data engineering (source control, automated testing, code review, CI/CD) 
  • Comfortable with ambiguity; can clarify requirements through conversation 
  • Interest in mentoring and developing less experienced engineers 
  • Professional data engineering experience (2+ years desired) 
  • Must be legally authorized to work in the United States 
  • Must not require visa sponsorship or have work authorization based on OPT or CPT 
  • Must be able to work from our office in Westfield, IN without relocation financial assistance 
SEP is a software product design and development company located in Westfield, IN. We provide powerful teams of thoughtful developers and designers to bring ideas to life. Founded in 1988, SEP is one of Indiana's largest software development firms with 180 employees. Our clients span from Fortune 100 to scale-up companies. We are 100% employee-owned through an ESOP and are consistently recognized for our great culture (Top Workplaces, Best Place to Work in Indiana, Techpoint Mira Exceptional Employer).

We are an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities
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About SEP

Sourced by ZipRecruiter

Industry

Software development

Company size

51 - 200 Employees

Headquarters location

Carmel, IN, US

Year founded

1988

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