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Fanduel
Fanduel Benefits Overview
Compensation + Benefits
Offers 401(K)
Offers life insurance
Offers accidental death & dismemberment insurance
Offers disability insurance
Offers supplemental life insurance
Offers company equity
Offers performance bonuses
Offers employee stock purchase plan
Offers employee discounts
Offers dental insurance
Offers health insurance
Offers Flexible Spending Account (FSA)
Offers vision insurance
Provides family medical leave
Offers generous parental leave
Work-Life Balance + Wellbeing
Offers company-sponsored outings
Offers generous PTO
Provides paid sick days
Provides paid holidays
Career Growth + Development
Provides customized development tracks
Job training & conferences
Company Culture
Utilizes a flexible work schedule
Offers a remote work program
Provides free snacks and drinks
Offers diversity-based Employee Resource Groups
Recently posted jobs
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Gaming
Build and maintain full-stack software for FanDuel’s account products, including customer acquisition, onboarding, management, and protection journeys. Develop scalable backend systems and APIs, contribute to React web applications, write tested and maintainable code, participate in design and code reviews, resolve complex issues, support release processes, and improve engineering practices. Collaborate within multidisciplinary Agile teams while maintaining performance, accessibility, reliability, and operational excellence.
Gaming
Build and maintain scalable data-focused REST APIs, pipelines, and fraud recommendation applications. Develop batch and streaming ingestion using Python, SQL, PostgreSQL, Redis, and optionally PySpark. Deploy services on Kubernetes with KONG and ArgoCD, ensure reliability and data quality, monitor applications, troubleshoot issues, and collaborate with engineers, analysts, data scientists, and product managers in an agile environment.
Gaming
Build and maintain scalable batch and streaming data pipelines supporting analytics, machine learning, and business operations. Develop reliable data systems using Python, SQL, and data engineering tools; monitor and troubleshoot pipelines; implement data quality, observability, and testing practices; document architectures and transformations; and collaborate with analysts, data scientists, product managers, and engineering teams in an agile environment.
