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Data Engineer Sports Analytics Jobs in Colorado (NOW HIRING)

Ruri Software Technologies LLC

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Data Engineer Duration : 8+ Months Location : Onsite Denver CO (Only local Profiles) Required ... Snowflake, Jenkins & Airflow experience is nice to have. • The analyst will be working on the ...

ALKEME Insurance

Data engineer

Denver, CO · On-site

$117K - $141K/yr

ALKEME Insurance is seeking a highly skilled data engineer to join their team in Denver, CO. The ... collaborating with data scientists and analysts to ensure data quality and integrity.

Audacy, Inc.

Senior Data Engineer

Denver, CO · On-site

$108K - $147K/yr

You'll collaborate with other engineering teams, analytics, and product teams to design and drive ... sports and your favorite music across 220+ radio stations, premium podcasts, live events and ...

Audacy, Inc.

Senior Data Engineer

Denver, CO

$108K - $147K/yr

You'll collaborate with other engineering teams, analytics, and product teams to design and drive ... sports and your favorite music across 220+ radio stations, premium podcasts, live events and ...

Audacy, Inc.

Senior Data Engineer

Denver, CO

$108K - $147K/yr

You'll collaborate with other engineering teams, analytics, and product teams to design and drive ... sports and your favorite music across 220+ radio stations, premium podcasts, live events and ...

Cushman & Wakefield

Data Engineer

Denver, CO

$117K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Works closely with senior economists, analytics leads, and technical teams to deliver high-quality ...

Cushman & Wakefield

Data Engineer

Denver, CO

$117K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Works closely with senior economists, analytics leads, and technical teams to deliver high-quality ...

Cushman & Wakefield

Data Engineer

Denver, CO

$117K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Works closely with senior economists, analytics leads, and technical teams to deliver high-quality ...

Cushman & Wakefield

Data Engineer

Denver, CO

$117K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Works closely with senior economists, analytics leads, and technical teams to deliver high-quality ...

GEI Consultants

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics. * Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ...

GEI Consultants

Data Engineer

Denver, CO

$90K - $150K/yr

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics. * Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ...

Ibotta

Data Engineer

Denver, CO

$117K - $141K/yr

Experience: 3+ years of software engineering experience with a focus on data engineering, analytics ... engineering, or backend development. * Data Engineering Fundamentals: Proficiency in Python and SQL ...

Ibotta, Inc

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Experience: 3+ years of software engineering experience with a focus on data engineering, analytics ... engineering, or backend development. * Data Engineering Fundamentals: Proficiency in Python and SQL ...

bet365

Senior Back-End Engineer, Sports Platform

Denver, CO · On-site

$125K - $155K/yr

... Engineer, you will be responsible for developing, maintaining and evolving our US Sports platform ... Our N-Tier distributed systems process large volumes of data, especially during high-profile ...

Grey Matters Defense Solutions

Data Engineer

Centennial, CO · On-site

$125K - $165K/yr

Data Engineer Location: Centennial, CO Clearance: TS/SCI Required Grey Matters Defense Solutions ... The pipeline end-to-end goes from our Analyst to our Data Scientist on the program. This position ...

Grey Matters Defense Solutions

Data Engineer

Englewood, CO · On-site

$125K - $165K/yr

Data Engineer Location: Centennial, CO Clearance: TS/SCI Required Grey Matters Defense Solutions ... The pipeline end-to-end goes from our Analyst to our Data Scientist on the program. This position ...

bet365

Senior Back-End Engineer, Sports Platform

Denver, CO · Hybrid

$125K - $155K/yr

... Engineer, you will be responsible for developing, maintaining and evolving our US Sports platform ... Our N-Tier distributed systems process large volumes of data, especially during high-profile ...

Fluid Consulting Services

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Our client is looking for a Data Engineer to overhaul and expand the systems that power analytics and internal operations. This role centers on upgrading legacy workflows, strengthening reliability ...

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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.

How much do NFL data analysts make?

NFL data analysts typically earn between $60,000 and $100,000 annually, depending on experience, education, and the level of responsibility. These roles often require proficiency in data analysis tools, programming languages, and sports analytics knowledge. Salaries can vary based on the organization and geographic location.

Can a data analyst work in sports?

A data analyst can work in sports by analyzing player performance, game statistics, and team data to support decision-making. Skills in data visualization, statistical analysis, and tools like SQL and Python are commonly used in sports analytics roles. Transitioning to sports analytics often requires knowledge of the sport and relevant data sources.

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.

Do NFL teams hire data analysts?

Yes, NFL teams often hire data analysts and data engineers to analyze player performance, game strategies, and injury data. These roles typically require skills in data management, statistical analysis, and familiarity with sports analytics tools like R or Python. Data professionals help teams make data-driven decisions to improve performance and competitiveness.

Is 40 too late for data science?

For a Data Engineer in sports analytics, starting a career at 40 is feasible, especially with relevant skills in programming, data management, and analytics tools. Many professionals transition into data roles later in life, and experience in related fields can be an advantage. Continuous learning and certifications can help accelerate entry into the field regardless of age.
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Data Engineer Sports Analytics jobs near you
Data Engineer

Data Engineer

Ruri Software Technologies LLC

Denver, CO • On-site

$117K - $141K/yr

Full-time

Re-posted yesterday

Job description

Job Title: Data Engineer
Duration: 8+ Months
Location: Onsite Denver CO (Only local Profiles)
Required Skills - SQL Developer, Snowflake
Nice to have skills - Python, DB scripting
Job Summary
• Data Engineer with 8 years of experience and good exposure in Python scripting & SQL
• The data engineer will be responsible for architecting and implementing very large-scale data intelligence solutions around Snowflake.
• The data engineer will analyze the raw data and develop and maintain datasets on Snowflake based on business needs and objectives.
• They would explore ways to enhance data quality and reliability and identify opportunities for data acquisition.
• They would also collaborate with data scientists and architects on several projects.
• They must have previous experience as a data engineer and should be an expert in both Python and SQL. Snowflake, Jenkins & Airflow experience is nice to have.
• The analyst will be working on the below ADS for products.
1. Modem Connectivity ADS a. Incorporate logic for Seasonal customers b. Incorporate logic for customer migration c. Incorporate logic for new customers d. Incorporate Remedy data into ADS
2. SamKnows ADS a. Build 12 ADS for SamKnows
3. SamKnows Latency ADS a. Make changes to Add Service Group
4. Wireline composite score ADS
5. Support for below ADSes a. Speed Reliability b. OOKLA Version 2 c. IPDR d. Deepfield e. SCOPE f. ESI

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