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Data Engineer Sports Analytics Jobs in Raleigh, NC

First Citizens Bank

Lead Data Engineer

Raleigh, NC · On-site +1

$129K - $190K/yr

Strong analytical, troubleshooting, and problem-solving skills. * Ability to work independently and ... Data Engineering experience delivering enterprise-scale data solutions. * 5+ years of experience ...

Kognitiv Edge

Data Engineer II

Durham, NC · On-site

By integrating data from disparate sources and applying advanced analytics, we help organizations ... You will work alongside senior engineers, software developers, product leaders, and mission ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Builds automation pipelines using DevOps concepts and Continuous Integration and Continuous ... Works with analysts to create profiles and rules for data quality using Informatica Data Quality ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Builds automation pipelines using DevOps concepts and Continuous Integration and Continuous ... Works with analysts to create profiles and rules for data quality using Informatica Data Quality ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Develops data and analytics solutions on Snowflake Cloud Platform andprovidestechnical guidance in ... Conferswith systems analysts and other software engineers/developers to design systems. * Gathers ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Develops data and analytics solutions on Snowflake Cloud Platform and provides technical guidance ... Confers with systems analysts and other software engineers/developers to design systems. * Gathers ...

Pwc

Data Engineer - Manager

Raleigh, NC

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 ...

Pwc

Data Engineer - Senior Associate

Raleigh, NC

$77K - $202K/yr

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 ...

Q2

Data Engineer

Cary, NC · On-site

$112K - $135K/yr

... analytics, machine learning models, and agentic solutions • Contribute to improving our data ... engineers to translate fraud and risk requirements into data solutions • Write maintainable code ...

Q2 Software, Inc.

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

... data engineering, cloud platforms, and distributed systems. A Typical Day: * Design, build, and ... Deliver clean, well-structured datasets to support fraud analytics, machine learning models, and ...

Verdesian Life Sciences U.S., LLC

Data Engineer

Cary, NC · On-site

$107K - $128K/yr

Minimum 3 years' experience as a data engineer, business systems analyst or a similar role ... Required) * BS degree in computer science, information systems, or related field (Required)

Q2

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

... data engineering, cloud platforms, and distributed systems. A Typical Day: * Design, build, and ... Deliver clean, well-structured datasets to support fraud analytics, machine learning models, and ...

Pwc

Data Engineer - Senior Manager

Raleigh, NC · On-site

$124K - $280K/yr

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 ...

CGI Inc.

Data Engineer and Modeler

Durham, NC · On-site

$110K - $132K/yr

You will work closely with engineering, analytics, and product teams to deliver robust, cloud native data solutions on AWS. This is a Full-Time, On-Site employment opportunity based in Durham, NC.

Pwc

Data Engineer - Manager

Raleigh, NC · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Provides database engineering support to agile development team using SQL, PL/SQL, Java, Python and ... performance analysis, query tuning, database application design, physical data modeling ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Provides database engineering support to agile development team using SQL, PL/SQL, Java, Python and ... performance analysis, query tuning, database application design, physical data modeling ...

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Showing results 1-20

All JobsData Engineer Sports Analytics JobsData Engineer Sports Analytics Jobs in Raleigh, NC

Data Engineer Sports Analytics information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

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

As of Jul 15, 2026, the average yearly pay for data engineer sports analytics in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

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.
What are popular job titles related to Data Engineer Sports Analytics jobs in Raleigh, NC? For Data Engineer Sports Analytics jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Engineer Sports Analytics jobs in Raleigh, NC look for? The top searched job categories for Data Engineer Sports Analytics jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Engineer Sports Analytics jobs? Cities near Raleigh, NC with the most Data Engineer Sports Analytics job openings:
Data Engineer Sports Analytics jobs near you
Lead Data Engineer

Lead Data Engineer

First Citizens Bank

Raleigh, NC • On-site, Remote

$129K - $190K/yr

Full-time

Posted 6 days ago

First Citizens Bank rating

7.5

Company rating: 7.5 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

92nd of 149 rated banks

Job description

Overview

This is a remote role that may only be hired in the following locations: NC, CA

We are seeking an experienced Lead Data Engineer to design, build, and support scalable enterprise data solutions across AWS and Snowflake platforms. The ideal candidate will have expertise in cloud data engineering, data warehousing, Snowflake, dbt, Python, and ETL/ELT technologies, with proven experience leading teams and driving data modernization initiatives.


Responsibilities
  • Lead the design, development, and delivery of scalable data engineering solutions.
  • Build, optimize, and support data ingestion, transformation, and data warehouse pipelines using AWS, Snowflake, dbt, and Python.
  • Design and implement enterprise ETL/ELT frameworks, data models, data quality controls, reconciliation processes, and governance standards.
  • Collaborate with business and technology stakeholders to deliver trusted data products and analytics solutions.
  • Drive modernization of legacy data platforms and ETL workloads into cloud-native architectures.
  • Ensure operational excellence through performance optimization, CI/CD, testing, documentation, and production support.
  • Provide technical leadership, mentorship, and best-practice guidance across engineering teams.
  • Leverage AI-powered solutions and enterprise-approved AI tools to automate engineering tasks, improve productivity, accelerate data delivery, and reduce time-to-market.

Qualifications

Bachelor's Degree and 6 years of experience in Software application development and maintenance OR High School Diploma or GED and 10 years of experience in Software application development and maintenance

  • 10+ years of hands-on Data Engineering experience delivering enterprise-scale data solutions.
  • 5+ years of experience with AWS data services and cloud platforms, including S3, Glue, Lambda, IAM, Step Functions, and related services.
  • 3+ years of hands-on experience with Snowflake and dbt, including data modeling, ELT development, performance tuning, testing, deployment, and operational support.
  • Strong proficiency in SQL (7+ years) and Python (5+ years), with experience developing scalable data pipelines, automation frameworks, data validation processes, and performance optimization.
  • Hands-on experience with workflow orchestration tools such as Apache Airflow or Astronomer for scheduling, monitoring, and managing enterprise data pipelines.
  • Experience with enterprise ETL/ELT tools such as Informatica, DataStage, SAP BODS, SSIS, or equivalent technologies, along with strong knowledge of data warehousing, dimensional modeling, data governance, and CI/CD practices.
  • Practical experience using AI-powered productivity tools (e.g., GitHub Copilot, ChatGPT, Claude, Amazon Q) to improve engineering efficiency, code quality, documentation, testing, and delivery.

Preferred Qualifications

  • Experience modernizing legacy ETL platforms such as Informatica, DataStage, SAP BODS, or SSIS into Snowflake and dbt-based cloud data architectures.
  • Experience with Snowflake Cortex, CDC, streaming, and real-time ingestion technologies including Kafka, Kinesis, Qlik Replicate, and Snowpipe Streaming.
  • Experience integrating data across AWS, on-premises, and Snowflake environments, with exposure to enterprise security, governance, and compliance frameworks.
  • Familiarity with Tableau or Power BI for reporting, visualization, and analytics.
  • Experience working within Financial Services, Banking, or other highly regulated industries with strong governance, security, compliance, audit, and change management requirements.
  • Relevant certifications such as SnowPro, AWS Certified Solutions Architect – Professional, AWS Certified Data Engineer, or other AWS/Snowflake cloud data platform certifications.

Soft Skills

  • Strong communication and stakeholder management skills.
  • Proven leadership and mentoring capabilities.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Ability to work independently and manage multiple priorities.
  • Strong ownership mindset with a focus on quality and delivery.
  • Effective collaboration across cross-functional teams and business stakeholders.

If hired in CA, the base pay for this position is generally between $129,000 and $190,000. Actual starting base pay will be determined based on skills, experience, location, and other non-discriminatory factors permitted by law. For some roles, total compensation may also include variable incentives, bonuses, benefits, and/or other awards as outlined in the offer of employment.

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 6 years of experience in Software application development and maintenance OR High School Diploma or GED and 10 years of experience in Software application development and maintenance

  • 10+ years of hands-on Data Engineering experience delivering enterprise-scale data solutions.
  • 5+ years of experience with AWS data services and cloud platforms, including S3, Glue, Lambda, IAM, Step Functions, and related services.
  • 3+ years of hands-on experience with Snowflake and dbt, including data modeling, ELT development, performance tuning, testing, deployment, and operational support.
  • Strong proficiency in SQL (7+ years) and Python (5+ years), with experience developing scalable data pipelines, automation frameworks, data validation processes, and performance optimization.
  • Hands-on experience with workflow orchestration tools such as Apache Airflow or Astronomer for scheduling, monitoring, and managing enterprise data pipelines.
  • Experience with enterprise ETL/ELT tools such as Informatica, DataStage, SAP BODS, SSIS, or equivalent technologies, along with strong knowledge of data warehousing, dimensional modeling, data governance, and CI/CD practices.
  • Practical experience using AI-powered productivity tools (e.g., GitHub Copilot, ChatGPT, Claude, Amazon Q) to improve engineering efficiency, code quality, documentation, testing, and delivery.

Preferred Qualifications

  • Experience modernizing legacy ETL platforms such as Informatica, DataStage, SAP BODS, or SSIS into Snowflake and dbt-based cloud data architectures.
  • Experience with Snowflake Cortex, CDC, streaming, and real-time ingestion technologies including Kafka, Kinesis, Qlik Replicate, and Snowpipe Streaming.
  • Experience integrating data across AWS, on-premises, and Snowflake environments, with exposure to enterprise security, governance, and compliance frameworks.
  • Familiarity with Tableau or Power BI for reporting, visualization, and analytics.
  • Experience working within Financial Services, Banking, or other highly regulated industries with strong governance, security, compliance, audit, and change management requirements.
  • Relevant certifications such as SnowPro, AWS Certified Solutions Architect – Professional, AWS Certified Data Engineer, or other AWS/Snowflake cloud data platform certifications.

Soft Skills

  • Strong communication and stakeholder management skills.
  • Proven leadership and mentoring capabilities.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Ability to work independently and manage multiple priorities.
  • Strong ownership mindset with a focus on quality and delivery.
  • Effective collaboration across cross-functional teams and business stakeholders.

If hired in CA, the base pay for this position is generally between $129,000 and $190,000. Actual starting base pay will be determined based on skills, experience, location, and other non-discriminatory factors permitted by law. For some roles, total compensation may also include variable incentives, bonuses, benefits, and/or other awards as outlined in the offer of employment.

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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