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Full Time Nhl Data Science Jobs in Raleigh, NC (NOW HIRING)

Verily Life Sciences

Senior Cloud Engineer

Raleigh, NC · On-site

$54.25 - $72.50/hr

Uniquely positioned at the intersection of technology, data science, and healthcare, Verily ... The US base salary range for this full-time position is $150,000 - 226,000 + bonus + equity ...

Verily Life Sciences

Cloud Engineer III

Raleigh, NC · On-site

$54.25 - $72.50/hr

Uniquely positioned at the intersection of technology, data science, and healthcare, Verily ... The US base salary range for this full-time position is $128,000 - $192,000 + bonus + equity ...

Kimley-Horn

Data Engineer

Raleigh, NC

$111K - $133K/yr

This is a full-time, in-office position. Responsibilities * Design, develop, and maintain ETL/ELT ... Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or ...

Kimley-Horn

Data Engineer

Raleigh, NC

$111K - $133K/yr

This is a full-time, in-office position. Responsibilities * Design, develop, and maintain ETL/ELT ... Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or ...

LexisNexis

Senior Machine Learning Engineer III

Raleigh, NC · Hybrid

$118K - $219K/yr

This is a full-time position based in Raleigh, NC. (Hybrid - 3 days in office) About the Role We ... You will partner with Data Scientists to turn validated models and prototypes into reliable, high ...

Kimley-Horn

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

This is a full-time, in-office position. * Design, develop, and maintain ETL/ELT pipelines using ... Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or ...

Kimley-Horn

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

This is a full-time, in-office position. Responsibilities * Design, develop, and maintain ETL/ELT ... Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or ...

CGI Inc.

Data Quality Analyst

Raleigh, NC · On-site

J0726-2626 Employment Type: Full Time U.S. - The best version of me By playing this video you ... Bachelor's degree in computer science or related field. #LI-ARK1 CGI is required by law in some ...

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All JobsNhl Data Science JobsFull Time Nhl Data Science JobsFull Time Nhl Data Science Jobs in Raleigh, NC

Full Time Nhl Data Science information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do full time nhl data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for full time nhl data science in Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 per year, depending on experience, location, and employer.

What is a full time NHL data science job?

A Full Time NHL Data Science job involves using statistical analysis, machine learning, and data visualization to help National Hockey League (NHL) teams or organizations make data-driven decisions. Data scientists in this field analyze player performance, game statistics, and other data sources to provide insights that can improve team strategy, scouting, and player development. The role typically requires strong programming skills, knowledge of sports analytics, and the ability to communicate findings to coaches, managers, and executives. Full time positions offer stability, benefits, and the opportunity to work closely with hockey professionals throughout the season.

What are some common challenges faced by data scientists working full-time in the NHL, and how can they be addressed?

One common challenge for NHL data scientists is integrating diverse data sources, such as player tracking, game statistics, and scouting reports, into actionable insights for coaches and management. Balancing real-time analysis with long-term research projects also requires strong time-management and communication skills. Collaborating effectively within multidisciplinary teams—often including coaches, scouts, and IT professionals—helps ensure that complex models translate into practical, game-improving strategies. Staying updated with the latest sports analytics tools and methodologies further supports success in this dynamic role.

What are the key skills and qualifications needed to thrive as a full time NHL data scientist, and why are they important?

To thrive as a Full Time NHL Data Scientist, you need a strong background in statistics, data analysis, and programming, typically supported by a degree in mathematics, statistics, computer science, or a related field. Proficiency with data science tools such as Python, R, SQL, and machine learning frameworks, as well as experience with hockey analytics databases and visualization software, is essential. Strong communication, problem-solving, and teamwork skills help convey insights to coaches, analysts, and management effectively. These skills enable data-driven decision-making that can improve team performance and gain a competitive edge in the NHL.

What is the difference between Full Time Nhl Data Science vs Full Time Nhl Data Analyst?

AspectFull Time Nhl Data ScienceFull Time Nhl Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skillsDegree in Analytics, Statistics, or related; basic data skills
Work EnvironmentCollaborative, research-focused, often involves modeling and machine learningOperational, reporting-focused, involves data interpretation and visualization
Employer & Industry UsageUsed by teams for predictive modeling, player performance analysis, strategic decisionsUsed for reporting, data tracking, and supporting game-day decisions

Full Time Nhl Data Science roles focus on advanced analytics, machine learning, and predictive modeling to inform strategic decisions. In contrast, Full Time Nhl Data Analysts primarily handle data reporting, visualization, and supporting day-to-day operations. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and modeling, while Data Analysts focus on data interpretation and presentation.

What are popular job titles related to Full Time Nhl Data Science jobs in Raleigh, NC?

For Full Time Nhl Data Science jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Full Time Nhl Data Science jobs in Raleigh, NC look for?

The top searched job categories for Full Time Nhl Data Science jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Full Time Nhl Data Science jobs?

Cities near Raleigh, NC with the most Full Time Nhl Data Science job openings:

Full Time Nhl Data Science jobs near you
Infographic showing various Full Time Nhl Data Science job openings in Raleigh, NC 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, with an average salary of $160,411 per year, or $77.1 per hour.

Dir-Data Platform Engineering (Full-time Remote, North Carolina Based)

Alliance Health

Morrisville, NC • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Job description

The Director-Data Platform Engineering is responsible for the strategic leadership, governance, and delivery of Alliance Health’s modern cloud based data engineering platform, replacing the legacy Enterprise Data Warehouse operating model.

The Director-Data Platform Engineering provides enterprise accountability for the design, development, operation, and continuous evolution of the data platform, ensuring secure, scalable, and high quality data products that support analytics, reporting, interoperability, regulatory compliance, and organizational decision making. The Director leads the Data Platform Engineering team and oversees the phased migration and sunset of legacy EDW capabilities as data domains transition to the modern platform.

This position is full-time remote. Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC) for onsite team meetings as needed.

Responsibilities & Duties

Data Platform Strategy and Enterprise Leadership

  • Define, own, and execute the enterprise data platform strategy and roadmap aligned with Alliance Health’s Data Modernization Initiative
  • Lead the transition from legacy EDW architecture to a cloud native Lakehouse and data engineering platform
  • Establish platform success metrics related to scalability, reliability, performance, cost management, and business value
  • Serve as the executive level authority for enterprise data platform direction and technical decision making

Organizational Leadership and Workforce Development

  • Lead and develop the Data Platform Engineering team, including the Cloud Data Architect, Lead Cloud Data Engineer, Cloud Data Engineers, Data Quality Engineer, Business Analyst, and Data Governance Analyst
  • Establish role clarity, career pathways, and performance expectations aligned with Alliance Health’s IT Job Architecture
  • Coach and mentor senior technical staff to strengthen leadership capability, engineering discipline, and platform ownership
  • Build a sustainable internal delivery model that reduces long term reliance on consultants

Engineering Governance and Technical Oversight

  • Establish and enforce enterprise standards for data ingestion, transformation, and serving layers, medallion and Lakehouse architecture patterns, CI/CD, DevOps, and environment management, and monitoring, observability, and production support
  • Provide oversight and approval for complex architecture and solution designs impacting the enterprise data platform
  • Ensure consistency of engineering practices across data domains and delivery teams

Data Quality, Security, and Regulatory Compliance

  • Ensure enterprise wide data quality standards, validation frameworks, and monitoring capabilities are implemented
  • Partner with Security, Compliance, and Governance teams to ensure adherence to HIPAA and HITECH requirements, data classification, encryption, access controls, and audit logging
  • Maintain accountability for platform stability, incident response, and root cause remediation

Program Delivery and Legacy EDW Sunset

  • Provide executive oversight for data domain migrations, analytics and reporting modernization, and decommissioning of legacy EDW assets
  • Manage cross functional dependencies, delivery risks, and sequencing of modernization activities
  • Ensure transparent reporting on delivery status, risks, and outcomes to executive leadership

Stakeholder Engagement and Executive Communication

  • Act as the primary liaison between IT leadership, business stakeholders, analytics teams, and external partners for data platform initiatives
  • Translate business and regulatory requirements into scalable technical capabilities
  • Communicate platform strategy, risks, progress, and outcomes to executive leadership

Minimum Requirements

Education & Experience

Required:

Bachelor’s degree in computer science or a related field, with six (6) years of experience with increasing responsibilities in data engineering, data architecture, or enterprise data platform leadership and three (3) years of experience in people management, platform governance, and cross functional delivery. Demonstrate experience leading enterprise scale data platforms on Microsoft Azure, including data Lakehouse or data warehouse modernization initiatives.

Experience should also include operating in regulated environments, preferably healthcare, with responsibility for data security, privacy, and compliance outcomes.

The following technical certification (or comparable) is required:

  • Databricks Certified Data Engineer Professional

Preferred:

Master’s degree in computer science or a related field, with five (5) years of progressively responsible experience in data engineering, data architecture, or enterprise data platform leadership preferred.

Any of the following or comparable technical certification is preferred:

  • Microsoft Azure Solutions Architect Expert
  • Databricks Certified Professional
  • Azure Security Engineer Associate (AZ 500)

Knowledge, Skills, & Abilities

  • Implementing and maintaining enterprise-scale Medallion data platforms on Microsoft Azure
  • Databricks Development
  • Python, SQL, PySpark, SQL, and modern data engineering frameworks
  • Azure Data Services: ADLS Gen2, Data Factory, Synapse
  • DevOps, Git and CI/CD best practices
  • Agile methodology and tools
  • HIPAA/HITECH compliance in cloud architectures
  • Technical documentation skills
  • Communication and organizational skills
  • Ability to work independently and in a team setting
  • Azure Platform Architect Accreditation

Employment for this position is contingent upon a satisfactory background and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date. 

Salary Range 

$131,191-$167,268/Annually 

Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity. 

An excellent fringe benefit package accompanies the salary, which includes:  

  • Medical, Dental, Vision, Life, Long Term Disability
  • Generous retirement savings plan
  • Flexible work schedules including hybrid/remote options
  • Paid time off including vacation, sick leave, holiday, management leave
  • Dress flexibility

Apply