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- 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 escalate 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
- 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
- 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.
For information about our benefits, please visit https://benefitsatfanatics.com/
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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/
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Skills Required
- 8+ years of professional software or data engineering experience, including significant ownership of production data platforms at scale
- Experience designing and delivering large, cross-team data systems from ambiguous requirements through production operation
- Expert-level Python and SQL skills
- Deep experience with ETL/ELT patterns for complex, high-volume transformations
- Deep expertise in Airflow or Managed Workflows for Apache Airflow, including DAG design at scale and operational best practices
- Knowledge of 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
- Experience building data security and governance capabilities, including PII masking, RBAC, cataloging, and lineage
- Experience building reusable pipeline frameworks
- Strong testing, CI/CD, and code review practices
- Ability to mentor engineers, influence without authority, and build cross-team alignment
- Excellent written and verbal communication, including design documents, tradeoff analysis, and incident write-ups
- Experience with reverse ETL, real-time or streaming data, and observability tooling
- Experience with FinOps and cloud data platform cost governance
- Background in gaming, betting, e-commerce, or another regulated industry
- Experience leading platform migrations or major re-architectures
Fanatics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fanatics and has not been reviewed or approved by Fanatics.
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Strong & Reliable Incentives — Incentives like annual bonuses and overtime opportunities are common, supporting higher total compensation especially in corporate roles. Seasonal premiums and performance bonuses are also cited across roles.
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Healthcare Strength — Multiple medical plan options, mental-health services, and wellness programs are highlighted as core offerings. Additional supports like HSAs/FSAs and condition management further strengthen the health package.
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Parental & Family Support — Paid maternity and paternity leave, fertility benefits, adoption assistance, and gender-affirmation coverage are explicitly included. Childcare support and backup care resources are also referenced.
Fanatics Insights
What We Do
Transforming the licensed sports industry through an innovative vertical e-commerce model that allows Fanatics to quickly design, manufacture and distribute high-quality fan gear across retail channels, better serving the real-time expectations of leagues, teams, fans and retailers in today’s mobile-first, on-demand culture.
Why Work With Us
You don't have to love sports to work here (though we love sports fanatics as well!). Fanatics is an industry leading, multi-billion dollar, international, privately held company with a casual, lofty space in the heart of Downtown Boulder. We have the advantages of a startup, without the pitfalls.
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