Staff Data Engineer

Job not on LinkedIn

🕒 November 4

🗽 New York – Remote

🗽 New York – Remote

💵 $180.5k - $237.5k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 0%

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• Open for 11 days.
• Jobs at this company usually fill in 30 days.

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Fanatics Betting & Gaming

WebsiteAll Job Openings

- employees

🎲 Gambling

⚽ Sports

👥 B2C

Gambling • Sports • B2C

Fanatics Betting & Gaming is a consumer-facing U. S. sports betting and online casino operator (branded as Fanatics Sports & Casino / Fanatics Sportsbook / Fanatics Casino) that offers sportsbook betting, online casino games, event contract trading (Fanatics Markets), and a unified loyalty currency called FanCash. It provides mobile apps and web experiences, state-by-state availability across many U. S. jurisdictions, promotional offers, partnerships with sports teams, and responsible-gaming tools and disclosures. Morton St. Trading Investments, LLC handles the event-contract trading side and is CFTC-registered.

📋 Description

• Own the architecture and design of ingestion pipelines, orchestration frameworks, and data delivery systems • Produce design documents that DE2s, DE3s, and senior engineers can implement • Define and evolve frameworks, conventions, and reference patterns for pipelines, Airflow DAGs, testing, monitoring, and catalog registration • Lead diagnosis of novel data integrity, performance, and reliability problems • Drive systemic fixes and convert recurring failures into runbooks, automation, or improved design • Set and track reliability standards, including SLOs, alerting, and on-call health • Reduce operational toil • Lead data security and governance strategy in partnership with Security, Legal, and Compliance • Design reverse ETL and data delivery integrations 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 specification and design reviews and review high-risk pull requests • Partner with BI, Data Science, Product, and business leadership to shape scalable solutions and the roadmap • Mentor engineers, represent the team in cross-functional forums, pay down technical debt, and participate in hiring

🎯 Requirements

• 8+ years of professional software or data engineering experience, including significant experience owning production data platforms at scale • 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 • Experience building data security and governance capabilities, including PII masking, RBAC, catalog/lineage, and reusable pipeline frameworks • Strong testing, CI/CD, and code review practices • 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

🏖️ Benefits

• Base salary and bonus • Full-time employment • Benefits information available at https://benefitsatfanatics.com/ • Potential in-person onboarding experience through Launching into Better: LIVE—a multi-day cultural immersion in New York City • Potential onsite interviews, depending on role and location

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