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Data Engineer Sports Analytics Jobs in New York (NOW HIRING)

AEG

Data Engineer

White Plains, NY · On-site

$118K - $142K/yr

This foundation is the groundwork for advanced analytics, reporting, and future machine learning ... sports, entertainment, or live-events organization * Strong proficiency in SQL and Python, with ...

Meta

Data Engineer, Product Analytics

New York, NY · On-site +1

$177K/yr

Data Engineer, Product Analytics Responsibilities: * Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs ...

Meta

Data Engineer, Product Analytics

New York, NY · On-site +1

$147K/yr

Data Engineer, Product Analytics Responsibilities: * Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs ...

Lawrence Harvey

Data Engineer

Edison, NJ · On-site

$88K - $105K/yr

This opportunity is well suited to a Data Engineer, Data Analyst, or recent graduate with strong foundational skills in SQL and Python who is looking to build hands-on experience with Databricks ...

New

PUIG

Data Engineer

North Brunswick, NJ

$120K - $145K/yr

Support the modernization of analytics and AI data foundations on Google Cloud Platform. * Promote cloud-first, governed and AI-ready approaches to enterprise data engineering. * Identify ...

Versant Media

Senior Data Engineer

Manhattan, NY · Hybrid

$116K - $158K/yr

... sports division USA Sports, along with complementary digital assets including Fandango, Rotten ... In this role, you'll collaborate closely with Data Product, Data Science, Analytics, and ...

FanDuel

Staff Data Engineer

Jersey City, NJ

Partner with data platform teams, analytics, and data science to deliver reusable data assets and ... FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and ...

Lawrence Harvey

Data Engineer

Iselin, NJ · On-site

$88K - $105K/yr

This opportunity is well suited to a Data Engineer, Data Analyst, or recent graduate with strong foundational skills in SQL and Python who is looking to build hands-on experience with Databricks ...

FanDuel

Staff Data Engineer

Jersey City, NJ · On-site

Partner with data platform teams, analytics, and data science to deliver reusable data assets and ... FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and ...

FanDuel

Staff Data Engineer

Jersey City, NJ · On-site

Partner with data platform teams, analytics, and data science to deliver reusable data assets and ... FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and ...

LHi Group Ltd

Data Engineer

Woodbridge, NJ · On-site

$88K - $105K/yr

This opportunity is well suited to a Data Engineer, Data Analyst, or recent graduate with strong foundational skills in SQL and Python who is looking to build hands-on experience with Databricks ...

City of New York

Data Engineer

Manhattan, NY

$125K - $150K/yr

The Data Engineer will play a key role in supporting the Department of Sustainable Delivery (DSD ... DSD brings together data analytics, policy, enforcement, education, and industry oversight to ...

Qode

Data Engineer

Florham Park, NJ · On-site

$119K - $143K/yr

To succeed in the Data Engineering position, you should have strong analytical and problem solving skills and the ability to combine data from different sources, so we're looking for data engineers ...

City of New York

Data Engineer

Manhattan, NY

$125K - $150K/yr

The Data Engineer will play a key role in supporting the Department of Sustainable Delivery (DSD ... DSD brings together data analytics, policy, enforcement, education, and industry oversight to ...

Qode

Data Engineer

Florham Park, NJ · On-site

$119K - $143K/yr

To succeed in the Data Engineering position, you should have strong analytical and problem solving skills and the ability to combine data from different sources, so we're looking for data engineers ...

Qode

Data Engineer

Florham Park, NJ · On-site

$119K - $143K/yr

To succeed in the Data Engineering position, you should have strong analytical and problem solving skills and the ability to combine data from different sources, so we're looking for data engineers ...

Qode

Data Engineer

Florham Park, NJ · On-site

$119K - $143K/yr

To succeed in the Data Engineering position, you should have strong analytical and problem solving skills and the ability to combine data from different sources, so we're looking for data engineers ...

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All JobsData Engineer Sports Analytics JobsData Engineer Sports Analytics Jobs in New York

Data Engineer Sports Analytics information

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 New York?

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

What job categories do people searching Data Engineer Sports Analytics jobs in New York look for?

The top searched job categories for Data Engineer Sports Analytics jobs in New York are:

What cities in New York are hiring for Data Engineer Sports Analytics jobs?

Cities in New York with the most Data Engineer Sports Analytics job openings:

Data Engineer Sports Analytics jobs near you
Infographic showing various Data Engineer Sports Analytics job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Engineer

White Plains, NY • On-site

AEG
Recruiting and Staffing Services • 51 - 200 employees
Learn more about AEGexternal

$118K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen.
Position: Data Engineer
Reports to: VP, Data & Business Intelligence
Location: White Plains, NY (Hybrid) preferred or Open to Remote
ABOUT THE UFL
The United Football League (UFL) is the premier professional spring football league, powered by the visionary leadership and investment of Mike Repole and Impact Capital, RedBird Capital Partners, FOX, Dany Garcia, Dwayne Johnson, and ESPN. Built on innovation, accessibility, and competitive excellence, the UFL delivers a dynamic professional football experience for players, fans, and partners alike. The league currently features eight teams and is focused on building the next era of spring football, with expansion planned for 2028 and beyond.
ABOUT THE ROLE
The Data Engineer will play a foundational role in the UFL's data ecosystem. The first dedicated engineering hire on the Data & Business Intelligence team, responsible for owning and evolving the pipelines, warehouse, and data models that power Sales, Sponsorships, Marketing, and Football Operations.
As our first in-house engineer, you'll take ownership of an established modern data platform built on Fivetran, dbt, and BigQuery, while leading its evolution as the league grows. You'll be responsible for configuring and improving the data & insights that drive every decision. The Data Engineer will establish the engineering practices a growing data function will depend on. You'll partner closely with the broader Data & BI team to keep data flowing reliably across the business and to extend the well-structured, trusted datasets the whole organization works from. This foundation is the groundwork for advanced analytics, reporting, and future machine learning.
This role requires technical depth and sound judgment on architecture decisions, paired with the ability to translate for non-technical partners across the business. The ideal candidate thrives in a collaborative, early-stage environment, is meticulous about data quality, and is motivated by building durable solutions that drive real business value.
WHAT YOU WILL DO
  • Take ownership of the UFL's existing data platform. Review, understand, and support the current pipelines and warehouse (Fivetran, dbt, BigQuery, Cloud Run) originally stood up with an external partner, and serve as the in-house owner accountable for their reliability and evolution
  • Operate and maintain core data flows.
  • Monitor the ETL/ELT and reverse-ETL pipelines that move data from source systems (ticketing, digital media, CRM, sales intelligence) into BigQuery and back out to operational tools, troubleshooting ingestion, transformation, and delivery issues, including during high-volume periods of the season
  • Evaluate existing architecture, identify gaps and opportunities, and drive adjustments that improve reliability, cost, and performance as the league's needs grow
  • Own the data side of platform migrations. Lead data mapping, movement, and validation for source-system changes, including an upcoming CRM migration that touches ingestion, reverse ETL, and reporting
  • Extend trusted, well-modeled datasets. Build on and maintain the dbt models in BigQuery that serve as the single source of truth the analytics and CRM functions rely on
  • Safeguard data quality. Maintain accuracy and trust through validation, deduplication, and classification
  • Partner with Sales, Sponsorships, Marketing, Finance and Football Operations to translate needs into reliable data solutions
  • Establish in-house data engineering standards. As the first internal data engineer, define the documentation, version-control, and testing practices needed to bring the platform fully in-house and scale it
  • Work within the team's development practices (standups, backlog grooming, sprint planning and retrospectives) and set the standard for the engineering voice in the room, keeping engineering work visible, scoped and prioritized alongside analytics and CRM

WHAT YOU WILL BRING
  • Bachelor's degree in Computer Science, Information Systems, or a related field. An equivalent combination of education and hands-on experience may be considered
  • 3-5 years of data engineering experience, including ownership of production pipelines that other teams or systems depend on
  • Proven ability to step into an existing data platform - reading, documenting, and improving pipelines and code you didn't originally build
  • Hands-on experience with ticketing and revenue-generation platforms (e.g., Ticketmaster/Archtics) and the data they produce, ideally within a sports, entertainment, or live-events organization
  • Strong proficiency in SQL and Python, with experience developing, maintaining, and extending production data pipelines.
  • Hands-on experience with Google Cloud Platform, especially BigQuery (familiarity with Cloud Run, Cloud Storage, and Cloud Scheduler a plus)
  • Working proficiency with dbt for transformation and modeling, and with a managed ingestion tool such as Fivetran
  • Experience with version control and collaborative development workflows (Git / Bitbucket)
  • Strong data-quality instincts - validation, testing, deduplication and the judgment to make sound architecture decisions independently
  • Excellent communication skills, with the ability to translate technical concepts for non-technical partners across the business

PREFERRED QUALIFICATIONS
  • Experience owning or supporting a CRM data migration (e.g., Salesforce, HubSpot), including reverse-ETL and downstream reporting impacts
  • Familiarity with reverse-ETL / operational analytics patterns (e.g., Salesforce Data Cloud) and BI tools such as Looker
  • Experience with digital-media and advertising data sources (e.g., Google Ads, Google Analytics, Meta)
  • Prior experience with sales-intelligence tooling (e.g., ZoomInfo, LinkedIn Sales Navigator) feeding a CRM
  • Comfort operating as an early or founding data hire in a fast-moving environment, with the self-sufficiency to own a domain end to end

OTHER DUTIES
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
ADDITIONAL DETAILS
  • The location of this role is flexible and the league will consider both remote candidates or those located in the Tri-State area, available to work in a hybrid environment, with an expectation of in-office collaboration 2-3 days per week.
  • Position may require periods of sitting at a desk, frequent bending, moving, lifting, and carrying material weighing up to 20 pounds.
  • Minimal Travel (< 10% travel): To other UFL markets, games, appointments and events as needed.
  • Ability to work a flexible schedule inclusive of weekends, nights and holidays required
  • Other duties as assigned by VP, Data & Business Intelligence

COMPENSATION
The salary range for this position is $125,000 - $155,000. This role is eligible for annual incentive and/or comprehensive benefits, including medical/dental/vision/life insurance, a 401(k) plan, unlimited PTO and offers a discretionary bonus. The actual base salary offered will depend on a variety of factors, including, without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location of the position.
EQUAL EMPLOYMENT OPPORTUNITY STATEMENT
The UFL maintains a strong policy of equal opportunity in employment. It is our objective to recruit, hire, and retain the most qualified individuals without regard to race, color, religion, sex, sexual orientation or identity, national origin, age, disability, veteran status, or any other characteristic or status protected by applicable federal, state, or local law. Our equal employment philosophy applies to all aspects of employment, including recruitment, compensation, benefits, training, promotions, transfers, job benefits, and terminations.
AEG logo

About AEG

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Saint Louis, MO, US

Year founded

1992

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