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

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 ...

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 ...

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 · On-site

$159 - $209/hr

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 ...

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 ...

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 ...

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 ...

AaraTechnologies Inc

DATA ENGINEER

Jersey City, NJ · On-site

$119K - $143K/yr

Data Engineer Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role ... You will collaborate with analytics teams to support reporting needs. Ideal for early-career data ...

City of New York

Data Engineer

Manhattan, NY · On-site

$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 ...

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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 95% Full Time, and 5% Temporary. Highlights an 87% In-person, 6% Hybrid, and 7% Remote job distribution.

Data Engineer II - (Remote)

Fanatics Betting & Gaming

New York, NY • On-site, Remote

$125K - $150K/yr

Full-time

Re-posted 4 days ago

Job description

About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
About the Team
We're looking for a Data Engineer II to join our Data Engineering team, which builds and governs the data foundation that powers the business. You'll work within our stack - Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks - helping move data reliably and securely from source to decision-ready output.
This is an entry-level role. You'll execute well-defined tasks under the direction of senior data engineers, learn our team's stack and conventions, and build a strong foundation in pipeline correctness. You're not expected to own designs independently yet - you're expected to build reliable software against a design, ask good questions, and grow quickly from feedback.
Responsibilities
  • Implement ingestion pipelines and Airflow DAGs from a senior engineer's design, using the team's scaffolding and conventions - including writing the code, unit tests, and documentation
  • Support data security and governance work, such as PII masking and access controls, following established patterns
  • Contribute to data delivery work, including reverse ETL integrations, under guidance from senior engineers
  • Add and extend fields in existing pipelines, incorporating review feedback and applying learned patterns on future work
  • Take oncall pages for pipeline failures, work through runbooks, and escalate with clear context when needed
  • Pair with senior engineers on data integrity issues you can't yet diagnose alone
  • Write clear, reviewer-friendly PR descriptions and ask clarifying questions before starting new work
  • Flag blockers early and with context rather than going quiet when stuck
  • Build strong working relationships with internal stakeholders (BI analysts, other data engineers, data scientists) and help gather and clarify requirements
  • Conduct and participate in code and system inspections
  • Help the team define and adhere to data engineering best practices
  • Mentor more junior data engineers as you grow into the role
Experience and Skills
  • 1-3 years of professional software or data engineering experience
  • A self-learner with a strong ability to gather, evaluate, and analyze requirements
  • Solid foundation in Python and deep understanding of SQL and ETL/ELT for complex data transformations
  • Comfort reading and writing unit tests, and working within an established codebase and conventions
  • Familiarity with (or eagerness to quickly learn) workflow orchestration tools like Airflow (Managed Workflows for Apache Airflow)
  • Basic understanding of data pipeline concepts: ingestion, idempotency, scheduling, and data quality
  • Knowledge of several of the following technologies: Snowflake, Databricks, AWS, dbt, Tableau, MongoDB, PostgreSQL
  • Familiarity with Git-based version control and PR-based code review workflows
  • Strong communication skills - asks clarifying questions, writes clear PR descriptions, and escalates blockers with useful context rather than staying stuck silently
  • A growth mindset: takes review feedback well, improves processes, and champions best practices to avoid technical debt
Preferred But Not Required
  • Exposure to cloud data warehouses/lakehouses (Snowflake, Databricks, AWS) and data catalog/lineage tooling
  • Familiarity with dbt, Tableau, MongoDB, or PostgreSQL
  • Familiarity with reverse ETL tools or patterns (e.g., Segment, LaunchDarkly, Kafka, S3-based delivery)
  • Exposure to PII masking, data security, or RBAC/access governance concepts
  • Exposure to observability/monitoring tooling (e.g., Datadog) for pipeline health and alerting
  • Background in gaming, betting, e-commerce, or another regulated/high-compliance industry
  • Familiarity with responsible handling of customer/PII-sensitive data
Why Join Us
  • Join a team that's literally described as "the foundation" - everything at FBG, FES, and FMX runs on the data we ingest, govern, and deliver
  • Learn from senior and staff data engineers on a well-invested, modern data platform, with a clear growth path from DE2 into independent ownership
  • Work on high-visibility, high-trust systems: regulatory and financial reporting, PII security, and data governance that the business depends on
  • A culture built around clear tenets: standardize before you scale, own the outcome (not just the ticket), and clarity over complexity
  • Collaborative culture with strong engineering practices, code review, and mentorship

Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE-a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit https://benefitsatfanatics.com/
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/
Salary Range
$118,000-$156,000 USD
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