Staff Data Engineer

Fanatics Betting & Gaming; New York (NY); On-site; USD 181,000 - 238,000; Full time

Job summary

Fanatics Betting & Gaming is seeking a Staff Data Engineer to join our Data Engineering team. You’ll set the technical direction for Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks, ensuring data moves reliably, securely, and cost‑effectively from source to decision-ready output.

This senior individual‑contributor role owns the architecture of critical data systems, defines team standards, and tackles novel, high‑stakes problems with ownership of outcomes and not just

Qualifications

• 8+ years of professional software or data engineering experience.
• A track record of designing and delivering large, cross-team data systems from ambiguous requirements through production operation.
• Expert-level Python and SQL, with deep experience in ETL/ELT patterns for complex, high-volume transformations.
• Deep expertise in Airflow / Managed Workflows for Apache Airflow, including DAG design at scale and operational best practices.
• Strong command of pipeline fundamentals: idempotency, backfills, schema evolution, late-arriving data, data quality frameworks, and failure recovery.
• Hands-on experience with Snowflake, Databricks, AWS, dbt, Tableau, MongoDB, and PostgreSQL, with the judgment to choose the right tool for the job.
• Experience building data security and governance capabilities (PII masking, RBAC, catalog/lineage) and reusable pipeline frameworks that other engineers extend.
• Strong testing, CI/CD, and code review practices, and the ability to set those standards for a team.
• Proven ability to mentor engineers, influence without authority, and build alignment across teams.

Responsibilities

• Own ingestion pipelines, orchestration frameworks, and data delivery systems.
• Define and evolve the team’s frameworks, conventions, and reference patterns for pipelines, Airflow DAGs, testing, monitoring, and catalog registration.
• Lead diagnosis of data integrity, performance, and reliability problems and drive systemic fixes.
• Set and track reliability standards (SLOs, alerting, on‑call health).
• Lead data security and governance strategy, including PII masking, RBAC, data classification, and lineage.
• Design reverse ETL and data delivery integrations with clear SLAs and failure handling guarantees.
• Drive platform decisions on Snowflake, Databricks, and AWS, including cost optimization.
• Lead spec and design review, anticipating downstream impact and reviewing high‑risk PRs.
• Partner with BI, Data Science, Product, and leadership to shape the roadmap.
• Mentor engineers and participate in hiring.

Skills

Python

SQL

Airflow

Data pipelines

Data security

Mentoring

Tools

Snowflake

Databricks

AWS

dbt

Tableau

MongoDB

PostgreSQL

Job description

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

Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.

About the Role

We’re looking for a Staff Data Engineer to join our Data Engineering team, which builds and governs the data foundation that powers the business. You’ll set technical direction for our stack (Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks) and make sure data moves reliably, securely, and cost-effectively from source to decision-ready output.

This is a senior individual-contributor role with broad scope and influence. You’ll own the architecture of our most critical data systems, define the standards the team builds against, and take on novel, ambiguous, high-stakes problems that don’t have a runbook. You’ll be accountable for outcomes, not just deliverables.

Responsibilities

Own the architecture and design of ingestion pipelines, orchestration frameworks, and data delivery systems, producing design docs that DE2s, DE3s, and senior engineers can implement against

Define and evolve the team’s frameworks, conventions, and reference patterns for pipelines, Airflow DAGs, testing, monitoring, and catalog registration so new sources onboard quickly and consistently

Lead diagnosis of the novel data integrity, performance, and reliability problems that elevate past senior engineers, driving systemic fixes and turning recurring failures into runbooks, automation, or better design

Set and track reliability standards (SLOs, alerting, on‑call health) and reduce operational toil

Lead data security and governance strategy, including PII masking, RBAC, data classification, and lineage, in partnership with Security, Legal, and Compliance

Design reverse ETL and data delivery integrations (e.g., Segment, LaunchDarkly, Kafka, S3) with clear SLAs, downstream‑impact analysis, and failure‑handling guarantees

Drive platform decisions on Snowflake, Databricks, and AWS, including cost optimization, capacity planning, and build‑vs‑buy evaluation

Lead spec and design review, anticipating downstream impact, race conditions, idempotency gaps, and failure modes before code is written, and review high‑risk PRs with rigor

Partner with BI, Data Science, Product, and business leadership to turn ambiguous requirements into scalable solutions, prioritize competing demands, and shape the roadmap

Mentor engineers at every level, represent the team in cross‑functional forums, pay down technical debt, and participate in hiring

Experience and Skills

8+ years of professional software or data engineering experience, including significant experience owning production data platforms at scale

A track record of designing and delivering large, cross‑team data systems from ambiguous requirements through production operation

Expert‑level Python and SQL, with deep experience in ETL/ELT patterns for complex, high‑volume transformations

Deep expertise in Airflow / Managed Workflows for Apache Airflow, including DAG design at scale and operational best practices

Strong command of pipeline fundamentals: idempotency, backfills, schema evolution, late‑arriving data, data quality frameworks, and failure recovery

Hands‑on experience with several of Snowflake, Databricks, AWS, dbt, Tableau, MongoDB, and PostgreSQL, with the judgment to choose the right tool for the job

Experience building data security and governance capabilities (PII masking, RBAC, catalog/lineage) and reusable pipeline frameworks that other engineers extend

Strong testing, CI/CD, and code review practices, and the ability to set those standards for a team

Proven ability to mentor engineers, influence without authority, and build alignment across teams

Excellent written and verbal communication, including design docs, tradeoff analysis, and incident write‑ups

Nice to Have

Experience with reverse ETL, real‑time or streaming data (e.g., Kafka), and observability tooling (e.g., Datadog)

Experience with FinOps and cost governance on cloud data platforms

Background in gaming, betting, e‑commerce, or another regulated industry, including audit, compliance, and responsible handling of PII

Experience leading platform migrations or major re‑architectures

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.

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

$180,500 - $237,500 USD

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self‑identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Fanatics Betting & Gaming’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service‑connected disability.

A "recently separated veteran" means any veteran during the three‑year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval, or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.