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Data Engineer Sports Analytics Jobs in Nebraska (NOW HIRING)

Cordova

Data Engineer

Omaha, NE

$109K - $131K/yr

Cordova is seeking a versatile Senior Data Engineer & Application Developer on behalf of our client ... Analytical Background: A background in mathematical and statistical analysis is highly preferred to ...

Milan Laser Hair Removal

Sr. Data Engineer

Omaha, NE · On-site

$112K - $135K/yr

Data Modeling & Analytics Engineering: Model data across the Bronze, Silver, and Gold layers to support reporting, self-service analytics, and semantic layer consumption. Design and maintain Gold ...

Milan Laser Hair Removal

Sr. Data Engineer

Omaha, NE · On-site

$109K - $131K/yr

Data Modeling & Analytics Engineering: Model data across the Bronze, Silver, and Gold layers to support reporting, self-service analytics, and semantic layer consumption. Design and maintain Gold ...

Conagra Brands

Sr. Data Engineer

Omaha, NE · Hybrid

$94K - $138K/yr

Reporting to theManagerof Advanced Analytics and Enterprise Insights, you will lead the development ... You will apply strong data engineering fundamentals alongside software engineering and DevOps ...

Conagra Brands, Inc.

Sr. Data Engineer

Omaha, NE · On-site

$94K - $138K/yr

Reporting to the Manager of Advanced Analytics and Enterprise Insights, you will lead the ... You will apply strong data engineering fundamentals alongside software engineering and DevOps ...

CONAGRA

Sr. Data Engineer

Omaha, NE · On-site

$94K - $138K/yr

Reporting to the Manager of Advanced Analytics and Enterprise Insights, you will lead the ... You will apply strong data engineering fundamentals alongside software engineering and DevOps ...

HDR

Data Engineer 2

Omaha, NE

$109K - $131K/yr

In the role of Data Engineer II, we'll count on you to: * Build and maintain batch and streaming ... impact analysis and change management. * Integrate transformations into CI/CD workflows (build ...

HDR

Data Engineer 2

Omaha, NE · On-site

$109K - $131K/yr

In the role of Data Engineer II, we'll count on you to: * Build and maintain batch and streaming ... impact analysis and change management. * Integrate transformations into CI/CD workflows (build ...

HDR

Data Engineer 2

Omaha, NE · On-site

$109K - $131K/yr

In the role of Data Engineer 2, we'll count on you to: Build and maintain batch and streaming ... analysis and change management. Integrate transformations into CI/CD workflows (build, test, docs ...

Snowrelic Inc

Lead Data Engineer

Omaha, NE · On-site

$98K - $129K/yr

Work closely with developers, analysts, and business partners to understand data requirements, define transformation logic, and deliver production-ready solutions. * Guide junior engineers by ...

Buildertrend

Senior Data Engineer

Omaha, NE · On-site +1

$130K - $160K/yr

As a Senior Data Engineer at Buildertrend, you'll lead the migration of our data platform onto a ... Partner with engineers, analysts, business leaders and other stakeholders to prioritize work ...

Snowrelic Inc

ETL Data Engineer (W2 Full Time)

Omaha, NE · On-site

$109K - $131K/yr

Partner with developers, analysts, and business stakeholders to deliver solutions that meet operational and strategic needs. Technical Skills 7+ years in data engineering, including ETL tools ...

HDR

Analytics Engineer

Omaha, NE · On-site

Data Modeling & Analytics Engineering • Design, build, and maintain analytics ready data models using dbt, following dimensional and semantic modeling best practices (e.g., star schemas, marts ...

HDR

Analytics Engineer

Omaha, NE

Data Modeling & Analytics Engineering Design, build, and maintain analytics ready data models using dbt, following dimensional and semantic modeling best practices (e.g., star schemas, marts, facts ...

HDR

Analytics Engineer

Omaha, NE · On-site

Data Modeling & Analytics Engineering Design, build, and maintain analytics ready data models using dbt, following dimensional and semantic modeling best practices (e.g., star schemas, marts, facts ...

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All JobsData Engineer Sports Analytics JobsData Engineer Sports Analytics Jobs in Nebraska

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 Nebraska?

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

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

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

Data Engineer Sports Analytics jobs near you
Infographic showing various Data Engineer Sports Analytics job openings in Nebraska 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

Cordova

Omaha, NE

$109K - $131K/yr

Full-time

Re-posted 1 hour ago

Job description

Cordova is seeking a versatile Senior Data Engineer & Application Developer on behalf of our client. This role is designed for a technical leader who can sit at the intersection of application development and data architecture. You will be responsible for building robust applications and high-performance data pipelines while serving as a guardian of data integrity.

Beyond pure coding, this position requires a mentor and collaborator—someone who can lead a team, facilitate agile ceremonies, and provide the technical oversight necessary to ensure projects are delivered accurately and on schedule.

Disclaimer: Bachelor's Degree Required

 

 

Key Responsibilities

Applications & Data Engineering

  • Systems Architecture: Build and maintain high-quality applications and sophisticated data pipelines.

  • Data Integrity: Ensure the reliability and accuracy of data across all target structures.

  • Warehouse Management: Design and optimize data environments, including Data Warehouses and Data Marts.

  • Database Expert: Leverage a deep knowledge of relational databases to drive performance and scalability.

Technical Leadership & Strategy

  • Team Facilitation: Lead and facilitate collaboration among cross-functional team members to remove roadblocks.

  • Mentorship: Regularly guide junior developers on daily tasks, technical challenges, and career growth.

  • Planning & Estimation: Act as a Subject Matter Expert (SME) to assist in creating practical development plans and providing accurate project timeline estimations.

Agile Execution

  • Process Leadership: Actively participate in and lead Agile ceremonies, ensuring the team adheres to Scrum or Kanban methodologies.

  • Continuous Improvement: Advocate for secure coding practices and the constant evolution of development standards.

The Ideal Candidate

Experience & Qualifications

  • Education: Bachelor’s degree in Computer Science or a related technical field.

  • Technical Depth: Proven experience working with Data Warehouses, Data Marts, and complex relational databases.

  • Secure Coding: Strong foundation in secure coding practices to protect enterprise data.

  • Analytical Background: A background in mathematical and statistical analysis is highly preferred to support data-driven decision-making.

Core Competencies

  • Communication: Excellent oral and written communication skills with a strong customer-service mindset.

  • Interpersonal Mastery: Strong conflict resolution skills and the ability to build consensus in a team environment.

  • Self-Starter: The ability to move between high-level architectural planning and hands-on daily development tasks.

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