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Director Data Nfl Jobs (NOW HIRING)

Data Engineer

San Francisco, CA ยท Remote

$160K/yr

The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

Data Scientist

San Francisco, CA ยท On-site +1

$150K/yr

Assess model performance, identify weaknesses, and use those findings to direct development efforts ... Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully ...

Direct all parking operations for stadium events, including NFL games, MLS matches, concerts ... Analyze event performance, operational data, financial results, guest feedback, and other available ...

Direct all parking operations for stadium events, including NFL games, MLS matches, concerts ... Analyze event performance, operational data, financial results, guest feedback, and other available ...

Direct all parking operations for stadium events, including NFL games, MLS matches, concerts ... Analyze event performance, operational data, financial results, guest feedback, and other available ...

Direct all parking operations for stadium events, including NFL games, MLS matches, concerts ... Analyze event performance, operational data, financial results, guest feedback, and other available ...

... NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with ... The role reports into the Data Science Director and will focus on creating insight to drive the ...

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How much do director data nfl jobs pay per year?

As of Sep 10, 2026, the average yearly pay for director data nfl in the United States is $154,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $189,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Director Data Nfl jobs?

For Director Data Nfl jobs, the most frequently searched job titles are:

Data Engineer

San Francisco, CA โ€ข Remote

Swish Analytics
Spectator Sportsย โ€ขย 1 - 10 employees

$160K/yr

Full-time

Re-posted 21 days ago


Job description

Company Overview

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

Job Description

The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We’re a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.

Duties

  • Support production systems and help triage issues during live sporting events

  • Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production

  • Build new sports betting data products and predictions offerings

  • Integrate large and complex real-time datasets into new consumer and enterprise products

  • Develop production-level predictive analytics into enterprise-grade APIs

  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Requirements

  • BS/BA degree in Mathematics, Computer Science, or related STEM field

  • Minimum of 2+ years of demonstrated experience writing production level code (Python)

  • Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow

  • Demonstrated experience with Kubernetes

  • Experience building end-to-end ETL pipelines

  • Experience utilizing REST APIs

  • Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)

  • Experience with web scraping and cleaning unstructured data

  • Knowledge of data science and machine learning concepts

  • A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets

Base Salary: Starting at $160,000 - DOE

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.