Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Staff Data Engineer role.
Rezi rewrites your resume against Fanatics Betting & Gaming's job description. Free.
Tailor your resume to this Staff Data Engineer role.
Rezi rewrites your resume against Fanatics Betting & Gaming's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Staff Data Engineer posting at Fanatics Betting & Gaming — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Staff Data Engineer posting at Fanatics Betting & Gaming — free, in seconds.
About the Role
We are seeking a Staff Data Engineer to join our Data Engineering team. You will be responsible for building and governing the data foundation that powers the business, setting technical direction for our stack (Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks), and ensuring reliable, secure, and cost-effective data movement. This senior individual contributor role involves owning critical data system architecture, defining team standards, and tackling complex, high-stakes problems.
Responsibilities
- Own the architecture and design of ingestion pipelines, orchestration frameworks, and data delivery systems, producing design docs for implementation.
- Define and evolve team frameworks, conventions, and reference patterns for pipelines, Airflow DAGs, testing, monitoring, and catalog registration.
- Lead diagnosis of data integrity, performance, and reliability problems, driving systemic fixes and creating runbooks or automation.
- 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 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.
- Partner with BI, Data Science, Product, and business leadership to translate ambiguous requirements into scalable solutions and shape 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.
- 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.
- Experience building data security and governance capabilities (PII masking, RBAC, catalog/lineage) and reusable pipeline frameworks.
- 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.
Skills
- Python
- SQL
- ETL/ELT
- Airflow
- Snowflake
- Databricks
- AWS
- dbt
- Tableau
- MongoDB
- PostgreSQL
- CI/CD
- Reverse ETL
- Streaming data
- Kafka
- Observability tooling
- Datadog
- FinOps
- Cloud data platforms
Location
- Remote
Work Type
- Full-time
Experience Level
- Staff
- Senior
Salary/Compensations
- $180,500—$237,500 USD
Benefits
- Full-time employment
- Bonus
- https://benefitsatfanatics.com/
About the Company
- Fanatics is building a leading global digital sports platform, igniting the passions of global sports fans and maximizing the presence and reach for its hundreds of sports partners globally. The company operates across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties; and over 2,000 retail locations, including Lids retail stores. Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, launched in 2021. 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. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.