About the Role
We are seeking a Data Engineer III to join our Data Engineering team. You will build and govern the data foundation that powers the business, working within our stack (Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks) to move data reliably and securely from source to decision-ready output. You will implement features and fixes against a given design, handle known pipeline issues independently, and escalate novel problems with clear context. Contribution to code review is also expected.
Responsibilities
- Implement new ingestion sources end-to-end against a senior engineer's design, extending the team's existing framework where a new source needs a pattern it doesn't yet support.
- Investigate pipeline failures independently, recognize known classes of issues, and ship the documented fix without needing to escalate.
- Identify downstream consumers and potential impacts of data delays or inaccuracies before shipping a new pipeline, and flag gaps during spec review.
- Write clear handovers when escalating unresolved issues, detailing attempted solutions and ruled-out possibilities.
- Review peers' pipeline PRs and identify non-obvious issues that could cause incorrect downstream data.
- Turn ambiguous data quality questions into structured investigations, tracing data lineage and communicating findings.
- Surface concerns in spec review as specific, well-reasoned questions.
- Support data security and governance work, including PII masking and access controls, and contribute to data delivery work, including reverse ETL integrations.
- Build strong working relationships with internal stakeholders and help scope and clarify requirements for new work.
- Mentor DE2s on their first significant projects by pairing on decisions and helping them apply team conventions.
Requirements
- 3–5 years of professional software or data engineering experience.
- Strong SQL and Python skills, with solid experience building and operating production data pipelines.
- Comfort investigating and root-causing pipeline issues independently before escalating.
- Experience with workflow orchestration tools (Airflow or similar) and a cloud data warehouse/lakehouse (Snowflake, Databricks, or similar).
- Solid understanding of data pipeline concepts: idempotency, schema evolution, backfills, and data quality/testing.
- Experience giving substantive code review feedback.
- Strong communication skills, including clear technical handover writing, sharp question asking in spec review, and explaining data lineage investigations to non-technical stakeholders.
- A track record of taking ownership of known-class problems end-to-end.
Skills
- SQL
- Python
- Data Pipelines
- Workflow Orchestration (Airflow or similar)
- Cloud Data Warehouse/Lakehouse (Snowflake, Databricks or similar)
- Idempotency
- Schema Evolution
- Backfills
- Data Quality/Testing
- Code Review
- Technical Handover
- Data Lineage
- Reverse ETL
- PII Masking
- Data Access Governance (RBAC)
- Observability/Monitoring Tooling (e.g., Datadog)
Location
- Remote
Work Type
- Full-time
Experience Level
- 3-5 years
- Senior
Benefits
- Real ownership over known-class problems, with senior/staff support available for the genuinely novel ones.
- Work on high-visibility, high-trust systems that the business depends on.
- A culture built around clear tenets: standardize before you scale, own the outcome (not just the ticket), and clarity over complexity.
- Clear growth path into Senior Data Engineer, with room to start mentoring and shaping team practices along the way.
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, 2,500 athletes and celebrities, and over 2,000 retail locations.
- More than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
