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Fanatics

China-based licensed sports merchandise retailer

Staff Data Engineer

Data EngineeringUpdated on Nov 14
Full-timeNew York, NY, USA$180.5k - $237.5kRemote

About the Job

Requirements

  • At least 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 or Managed Workflows for Apache Airflow, including DAG design at scale and operational best practices.
  • Strong command of pipeline fundamentals, including 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, with judgment to choose the right tool for the job.
  • Experience building data security and governance capabilities, including PII masking, role-based access control, catalog/lineage, and reusable pipeline frameworks that other engineers extend.
  • Strong testing, continuous integration/continuous delivery, and code review practices, and the ability to set those standards for a team.
  • Ability to mentor engineers, influence without authority, and build alignment across teams.
  • Excellent written and verbal communication, including design documents, tradeoff analysis, and incident write-ups.

Responsibilities

  • Own the architecture and design of ingestion pipelines, orchestration frameworks, and data delivery systems, producing design documents that DE2s, DE3s, and senior engineers can implement against.
  • Define and evolve team frameworks, conventions, and reference patterns for pipelines, Airflow directed acyclic graphs, testing, monitoring, and catalog registration so new sources can be onboarded quickly and consistently.
  • Lead diagnosis of novel data integrity, performance, and reliability problems escalated beyond senior engineers; drive systemic fixes and turn recurring failures into runbooks, automation, or improved design.
  • Set and track reliability standards, including service-level objectives, alerting, and on-call health, and reduce operational toil.
  • Lead data security and governance strategy, including personally identifiable information masking, role-based access control, data classification, and lineage, in partnership with Security, Legal, and Compliance.
  • Design reverse extract, transform, and load integrations and data delivery integrations, such as Segment, LaunchDarkly, Kafka, and S3, with clear service-level agreements, downstream-impact analysis, and failure-handling guarantees.
  • Drive platform decisions on Snowflake, Databricks, and AWS, including cost optimization, capacity planning, and build-versus-buy evaluation.
  • Lead specification and design reviews, anticipate downstream impact, race conditions, idempotency gaps, and failure modes before code is written, and rigorously review high-risk pull requests.
  • Partner with Business Intelligence, 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.

Desired Qualifications

  • Experience with reverse extract, transform, and load; real-time or streaming data such as Kafka; and observability tooling such as Datadog.
  • Experience with FinOps and cost governance on cloud data platforms.
  • Background in gaming, betting, e-commerce, or another regulated industry, including audit, compliance, and responsible handling of personally identifiable information.
  • Experience leading platform migrations or major re-architectures.

About the Company

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Fanatics

China-based licensed sports merchandise retailer

Fanatics China is a joint venture between Fanatics Inc. and Hillhouse Capital that localizes and scales licensed sports merchandise for China. It designs, manufactures, and markets fan gear for Chinese consumers, operating a multi-channel model that includes building and running e-commerce sites for global leagues and teams, exploring online marketplaces, and developing physical retail concepts. Its product workflow combines technology, data, and on-demand manufacturing to manage the entire supply chain, enabling fast response to demand. The company differentiates itself through a China-focused approach backed by Hillhouse’s network and investments, its end-to-end vertical commerce model, and partnerships with hundreds of sports organizations, which together help it navigate China’s complex retail landscape. The goal is to satisfy a previously underserved Chinese market for licensed sports merchandise by creating localized products and channels that connect fans with official gear.

Company size
10,001+
Company stage
Growth Equity (Venture Capital)
Total funding
$5.2B
Headquarters
Huangpu, China
Founded
1995

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