Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.
About the RoleWe're looking for a Data Engineer II to join our Data Engineering team, which builds and governs the data foundation that powers the business. You'll work within our stack — Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks — helping move data reliably and securely from source to decision-ready output. You'll execute well-defined tasks under the direction of senior data engineers, learn our team's stack and conventions, and build a strong foundation in pipeline correctness. You're not expected to own designs independently yet — you're expected to build reliable software against a design, ask good questions, and grow quickly from feedback.
Responsibilities- Implement ingestion pipelines and Airflow DAGs from a senior engineer's design, using the team's scaffolding and conventions — including writing the code, unit tests, and documentation
- Support data security and governance work, such as PII masking and access controls, following established patterns
- Contribute to data delivery work, including reverse ETL integrations, under guidance from senior engineers
- Add and extend fields in existing pipelines, incorporating review feedback and applying learned patterns on future work
- Take oncall pages for pipeline failures, work through runbooks, and escalate with clear context when needed
- Pair with senior engineers on data integrity issues you can't yet diagnose alone
- Write clear, reviewer-friendly PR descriptions and ask clarifying questions before starting new work
- Flag blockers early and with context rather than going quiet when stuck
- Build strong working relationships with internal stakeholders (BI analysts, other data engineers, data scientists) and help gather and clarify requirements
- Conduct and participate in code and system inspections
- Help the team define and adhere to data engineering best practices
- Mentor more junior data engineers as you grow into the role
- 1–3 years of professional software or data engineering experience
- A self-learner with a strong ability to gather, evaluate, and analyze requirements
- Solid foundation in Python and deep understanding of SQL and ETL/ELT for complex data transformations
- Comfort reading and writing unit tests, and working within an established codebase and conventions
- Familiarity with (or eagerness to quickly learn) workflow orchestration tools like Airflow (Managed Workflows for Apache Airflow)
- Basic understanding of data pipeline concepts: ingestion, idempotency, scheduling, and data quality
- Knowledge of several of the following technologies: Snowflake, Databricks, AWS, dbt, Tableau, MongoDB, PostgreSQL
- Familiarity with Git-based version control and PR-based code review workflows
- Strong communication skills — asks clarifying questions, writes clear PR descriptions, and escalates blockers with useful context rather than staying stuck silently
- A growth mindset: takes review feedback well, improves processes, and champions best practices to avoid technical debt
- Exposure to cloud data warehouses/lakehouses (Snowflake, Databricks, AWS) and data catalog/lineage tooling
- Familiarity with dbt, Tableau, MongoDB, or PostgreSQL
- Familiarity with reverse ETL tools or patterns (e.g., Segment, LaunchDarkly, Kafka, S3-based delivery)
- Exposure to PII masking, data security, or RBAC/access governance concepts
- Exposure to observability/monitoring tooling (e.g., Datadog) for pipeline health and alerting
- Background in gaming, betting, e-commerce, or another regulated/high-compliance industry
- Familiarity with responsible handling of customer/PII-sensitive data
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit https://benefitsatfanatics.com/
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Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/
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Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here.
Skills Required
- 1-3 years of professional software or data engineering experience
- Strong foundation in Python
- Deep understanding of SQL and ETL/ELT for complex data transformations
- Ability to read and write unit tests within an established codebase and conventions
- Familiarity with or ability to quickly learn workflow orchestration tools such as Airflow
- Basic understanding of data pipeline concepts, including ingestion, idempotency, scheduling, and data quality
- Knowledge of several relevant technologies, including Snowflake, Databricks, AWS, dbt, Tableau, MongoDB, or PostgreSQL
- Familiarity with Git-based version control and pull-request code review workflows
- Strong communication skills and ability to clarify requirements and escalate blockers
- Growth mindset and ability to apply feedback and promote engineering best practices
- Exposure to cloud data warehouses or lakehouses and data catalog or lineage tooling
- Familiarity with reverse ETL tools or patterns such as Segment, LaunchDarkly, Kafka, or S3-based delivery
- Exposure to PII masking, data security, or RBAC and access governance concepts
- Exposure to observability or monitoring tools such as Datadog
- Background in gaming, betting, e-commerce, or another regulated or high-compliance industry
- Familiarity with responsible handling of customer or PII-sensitive data
Fanatics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fanatics and has not been reviewed or approved by Fanatics.
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Strong & Reliable Incentives — Incentives like annual bonuses and overtime opportunities are common, supporting higher total compensation especially in corporate roles. Seasonal premiums and performance bonuses are also cited across roles.
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Healthcare Strength — Multiple medical plan options, mental-health services, and wellness programs are highlighted as core offerings. Additional supports like HSAs/FSAs and condition management further strengthen the health package.
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Parental & Family Support — Paid maternity and paternity leave, fertility benefits, adoption assistance, and gender-affirmation coverage are explicitly included. Childcare support and backup care resources are also referenced.
Fanatics Insights
What We Do
Transforming the licensed sports industry through an innovative vertical e-commerce model that allows Fanatics to quickly design, manufacture and distribute high-quality fan gear across retail channels, better serving the real-time expectations of leagues, teams, fans and retailers in today’s mobile-first, on-demand culture.
Why Work With Us
You don't have to love sports to work here (though we love sports fanatics as well!). Fanatics is an industry leading, multi-billion dollar, international, privately held company with a casual, lofty space in the heart of Downtown Boulder. We have the advantages of a startup, without the pitfalls.
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