Staff Data Engineer - Data Platform & Governance

Fanatics Betting & Gaming; New York (NY); In loco; USD 181.000 - 238.000; Tempo pieno

Descrizione del lavoro

Fanatics Betting & Gaming is seeking a Staff Data Engineer to join our Data Engineering team. You’ll set the technical direction for Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks, ensuring data moves reliably, securely, and cost‑effectively from source to decision-ready output.

This senior individual‑contributor role owns the architecture of critical data systems, defines team standards, and tackles novel, high‑stakes problems with ownership of outcomes and not just

Competenze

• 8+ years of professional software or data engineering experience.
• 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 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.

Mansioni

• Own ingestion pipelines, orchestration frameworks, and data delivery systems.
• Define and evolve the team’s frameworks, conventions, and reference patterns for pipelines, Airflow DAGs, testing, monitoring, and catalog registration.
• Lead diagnosis of data integrity, performance, and reliability problems and drive systemic fixes.
• Set and track reliability standards (SLOs, alerting, on‑call health).
• Lead data security and governance strategy, including PII masking, RBAC, data classification, and lineage.
• Design reverse ETL and data delivery integrations with clear SLAs and failure handling guarantees.
• Drive platform decisions on Snowflake, Databricks, and AWS, including cost optimization.
• Lead spec and design review, anticipating downstream impact and reviewing high‑risk PRs.
• Partner with BI, Data Science, Product, and leadership to shape the roadmap.
• Mentor engineers and participate in hiring.

Conoscenze

Python

SQL

Airflow

Data pipelines

Data security

Mentoring

Strumenti

Snowflake

Databricks

AWS

dbt

Tableau

MongoDB

PostgreSQL

Descrizione del lavoro

Fanatics Betting & Gaming is seeking a Staff Data Engineer to join our Data Engineering team. You’ll set the technical direction for Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks, ensuring data moves reliably, securely, and cost‑effectively from source to decision-ready output.

This senior individual‑contributor role owns the architecture of critical data systems, defines team standards, and tackles novel, high‑stakes problems with ownership of outcomes and not just