{"id":3782975,"url":"https://alion.io/job/fanatics-staff-data-engineer","title":"Staff Data Engineer","company":{"id":1756301,"name":"Fanatics","domain":"fanatics.com","url":"https://alion.io/company/fanatics-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":88,"open_postings":11,"ghost_share":0,"stale_share":0.364,"repost_share":0.182,"time_to_fill_p50_days":43,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States","Jacksonville, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":180500,"max":237500,"currency":"USD","period":"year","gross":null,"usd_annual":237500},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Datadog","optional":true},{"name":"FinOps","optional":true}],"status":"live","first_seen_at":"2026-11-04T23:50:59Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-06T07:43:07Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About Us\nFanatics 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. \nAbout the Team\nLaunched 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.\nAbout the Role\nWe’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.\nThis 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.\nResponsibilities\nOwn 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\n\nDefine 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\n\nLead 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\n\nSet and track reliability standards (SLOs, alerting, on-call health) and reduce operational toil\n\nLead data security and governance strategy, including PII masking, RBAC, data classification, and lineage, in partnership with Security, Legal, and Compliance\n\nDesign reverse ETL and data delivery integrations (e.g., Segment, LaunchDarkly, Kafka, S3) with clear SLAs, downstream-impact analysis, and failure-handling guarantees\n\nDrive platform decisions on Snowflake, Databricks, and AWS, including cost optimization, capacity planning, and build-vs-buy evaluation\n\nLead 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\n\nPartner with BI, Data Science, Product, and business leadership to turn ambiguous requirements into scalable solutions, prioritize competing demands, and shape the roadmap\n\nMentor engineers at every level, represent the team in cross-functional forums, pay down technical debt, and participate in hiring\n\nExperience and Skills\n8+ years of professional software or data engineering experience, including significant experience owning production data platforms at scale\n\nA track record of designing and delivering large, cross-team data systems from ambiguous requirements through production operation\n\nExpert-level Python and SQL, with deep experience in ETL/ELT patterns for complex, high-volume transformations\n\nDeep expertise in Airflow / Managed Workflows for Apache Airflow, including DAG design at scale and operational best practices\n\nStrong command of pipeline fundamentals: idempotency, backfills, schema evolution, late-arriving data, data quality frameworks, and failure recovery\n\nHands-on experience with several of Snowflake, Databricks, AWS, dbt, Tableau, MongoDB, and PostgreSQL, with the judgment to choose the right tool for the job\n\nExperience building data security and governance capabilities (PII masking, RBAC, catalog/lineage) and reusable pipeline frameworks that other engineers extend\n\nStrong testing, CI/CD, and code review practices, and the ability to set those standards for a team\n\nProven ability to mentor engineers, influence without authority, and build alignment across teams\n\nExcellent written and verbal communication, including design docs, tradeoff analysis, and incident write-ups\n\nNice to Have\nExperience with reverse ETL, real-time or streaming data (e.g., Kafka), and observability tooling (e.g., Datadog)\n\nExperience with FinOps and cost governance on cloud data platforms\n\nBackground in gaming, betting, e-commerce, or another regulated industry, including audit, compliance, and responsible handling of PII\n\nExperience leading platform migrations or major re-architectures\n\nDepending 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.\nFor information about our benefits, please visit https://benefitsatfanatics.com/\n#LI-AL1 \nRanges 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/\nSalary Range\n$180,500—$237,500 USD\nBy submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.\nFanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. 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