Staff Data Engineer

Fanatics Betting & Gaming

. Own the architecture and design of ingestion pipelines, orchestration frameworks, and data delivery systems .

Posted 11/4/2026full-timeRemote • New York • United StatesLead💰 $180,500 - $237,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing data ingestion pipelines, orchestration frameworks, and data delivery systems, with a strong focus on data security and governance. Proven ability to mentor engineers and lead cross-functional collaborations to drive scalable solutions and operational excellence.

Highest-signal resume keywords

Expert-Level PythonExpert-Level SQLAirflow DAG DesignData Security and GovernanceData Platform Ownership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL/ELT PatternsData Quality FrameworksIdempotencySchema EvolutionFailure RecoveryTesting PracticesCI/CDCode Review

Soft Skills

MentoringInfluencing Without AuthorityBuilding Alignment

Tools & Technologies

SnowflakeDatabricksAWSDbtTableauMongoDBPostgreSQL

Industry Keywords

Data IntegrityPerformanceReliability StandardsSLOsOperational Best Practices

Tech Stack

Tools & technologies

AirflowApacheAWSETLMongoDBPostgresPythonSnowflakeSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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