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Data Engineer Sports Analytics Jobs in Phoenix, AZ

GCP Data Engineer

Phoenix, AZ · On-site

$110 - $160/hr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... We are seeking an experienced Data Engineer to join our team, specifically focused on building ...

GCP Data Engineer

Phoenix, AZ · On-site

$120 - $160/hr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... We are seeking an experienced Data Engineer to join our team, specifically focused on building ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... We are seeking an experienced Data Engineer to join our team, specifically focused on building ...

GCP Data Engineer

Phoenix, AZ

$113K - $136K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... We are seeking an experienced Data Engineer to join our team, specifically focused on building ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... We are seeking an experienced Data Engineer to join our team, specifically focused on building ...

Data Engineer

Phoenix, AZ · On-site

$75 - $125/hr

Data Engineer -- Position Summary Adroit Affine is looking for a Data Engineer to design, build and ... Collaborate with data scientists and business analysts to understand their data needs. * Document ...

New

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Work cross-functionally with engineers, analysts, and stakeholders to understand requirements and deliver data solutions that support sprint-based delivery. * Support pod-level delivery by producing ...

Data Engineer

Scottsdale, AZ · On-site

$80 - $100/hr

Ensures reliable, high-quality, and governed data flows that support analytics, reporting, and downstream applications. Serves as a technical leader in data engineering, driving best practices in ...

New

Data Engineer

Phoenix, AZ · On-site

$55 - $65/hr

Partner with analytics teams * Improve data quality and governance Qualifications * 3+ years of Data Engineering experience * SQL expertise * Python * Snowflake or Databricks * Azure Data Factory

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

Ensures reliable, high-quality, and governed data flows that support analytics, reporting, and downstream applications. Serves as a technical leader in data engineering, driving best practices in ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Partner with analytics teams * Improve data quality and governance Qualifications * 3+ years of Data Engineering experience * SQL expertise * Python * Snowflake or Databricks * Azure Data Factory

Data Engineer

Scottsdale, AZ · On-site

$120 - $180/hr

You will work closely with the Head of Data Engineering and cross‑functional partners across Product, Engineering, Analytics, and AI Systems to improve the quality, reliability, and usability of ...

New

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

You will work closely with the Head of Data Engineering and cross-functional partners across Product, Engineering, Analytics, and AI Systems to improve the quality, reliability, and usability of ...

Data Engineer

Scottsdale, AZ · On-site

$90 - $120/hr

Ensures reliable, high-quality, and governed data flows that support analytics, reporting, and downstream applications. Serves as a technical leader in data engineering, driving best practices in ...

New

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

Ensures reliable, high-quality, and governed data flows that support analytics, reporting, and downstream applications. Serves as a technical leader in data engineering, driving best practices in ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions ...

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions ...

Data Engineer

Phoenix, AZ · On-site

$90 - $130/hr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions ...

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions while ...

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Showing results 1-20

Data Engineer Sports Analytics information

See Phoenix, AZ salary details

$44.2K

$128.8K

$176.2K

How much do data engineer sports analytics jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data engineer sports analytics in Phoenix, AZ is $128,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $136,500.00 per year, depending on experience, location, and employer.

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 Phoenix, AZ?

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

What job categories do people searching Data Engineer Sports Analytics jobs in Phoenix, AZ look for?

The top searched job categories for Data Engineer Sports Analytics jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Data Engineer Sports Analytics jobs?

Cities near Phoenix, AZ with the most Data Engineer Sports Analytics job openings:

Infographic showing various Data Engineer Sports Analytics job openings in Phoenix, AZ as of June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,797 per year, or $61.9 per hour.

GCP Data Engineer

Tiger Analytics

Phoenix, AZ • On-site

$110 - $160/hr

Other

Re-posted 24 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 to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals.

  • 5+ years of experience in data engineering, with at least 3+ years working extensively on GCP.
  • Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting.
  • Proven experience with GCP services such as: BigQuery, Dataflow / Apache Beam, Dataproc, Pub/Sub, Cloud Storage, Cloud Composer (Airflow), Cloud Functions
  • Experience in building large-scale ETL/ELT pipelines and optimizing query performance on cloud platforms.
  • Solid understanding of data modeling, partitioning, and schema design for analytical workloads.
  • Familiarity with CI/CD practices, Terraform, and version control (e.g., Git).
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.

Disclaimer
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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