Fanatics Betting & Gaming

Data Engineer II - (Remote)

New York, NY, United States · Mid · Full-time

Sponsorship not specified$118k-$156kDetected 7 hours ago

PythonCode ReviewGitSQLPostgreSQLMongoDBSnowflakeDatabricksAWSDatadogKafkaAirflowdbtData EngineeringData VisualizationAI OrchestrationFinancial AnalysisCommunicationMentoringFinancial Reporting

About the role

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.

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
Build strong working relationships with internal stakeholders (BI analysts, other data engineers, data scientists) and help gather and clarify requirements
Join a team that's literally described as "the foundation" - everything at FBG, FES, and FMX runs on the data we ingest, govern, and deliver
A culture built around clear tenets: standardize before you scale, own the outcome (not just the ticket), and clarity over complexity

Requirements

Pair with senior engineers on data integrity issues you can't yet diagnose alone

Skills

Familiarity with Git-based version control and PR-based code review workflows
Snowflake, Databricks, AWS, dbt, Tableau, MongoDB, PostgreSQL
A growth mindset: takes review feedback well, improves processes, and champions best practices to avoid technical debt
Preferred But Not Required
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
Collaborative culture with strong engineering practices, code review, and mentorship

Compensation

$118,000 - $156,000 USD

Benefits

For information about our benefits, please visit https://benefitsatfanatics.com/
In addition to the base and bonus, full-time employment, and more.

Company info

Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods
collect physical and digital trading cards, sports memorabilia, and other digital assets
and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans
a global partner network with approximately 900 sports, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes
Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
Fanatics is building a leading global digital sports platform.
We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet.
Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform.
Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores.
We're looking for a Data Engineer II to join our Data Engineering team, which builds and governs the data foundation that powers the business.
This is an entry-level role.
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.

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This listing is sourced directly from Fanatics Betting & Gaming's careers page and normalized into a canonical job model.