Staff Data Engineer — Architect Scalable Data Pipelines

Fanatics Betting & Gaming; United States; In loco; USD 180.000 - 280.000; Tempo pieno

Descrizione del lavoro

Fanatics Betting & Gaming seeks a Staff Data Engineer to lead our data engineering team, shaping the data foundation that powers decision-making. You will own ingestion pipelines, orchestration, and data delivery, balancing reliability, security, and cost efficiency at scale.

You will mentor engineers, define standards for pipelines, and drive architecture decisions across Snowflake, Databricks, and AWS, partnering with BI, Data Science, and product leadership to turn ambiguous needs into

Competenze

• 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.

Mansioni

• 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 escal
• 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

Conoscenze

Python

SQL

ETL/ELT

Airflow

Data pipelines

Technical leadership

Strumenti

Snowflake

Databricks

AWS

dbt

Tableau

MongoDB

PostgreSQL

Descrizione del lavoro

Fanatics Betting & Gaming seeks a Staff Data Engineer to lead our data engineering team, shaping the data foundation that powers decision-making. You will own ingestion pipelines, orchestration, and data delivery, balancing reliability, security, and cost efficiency at scale.

You will mentor engineers, define standards for pipelines, and drive architecture decisions across Snowflake, Databricks, and AWS, partnering with BI, Data Science, and product leadership to turn ambiguous needs into