Staff Data Engineer

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

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 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

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.

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