Senior Data Engineer
Fanduel - New York City
Posted Apr 9, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Senior Data Engineer New York City THE POSITION Our roster has an opening with your name on it We are looking for a Senior Data Engineer to design and build scalable, reliable, and high-quality data solutions that power analytics, machine learning, and business operations. You'll be a hands-on contributor who plays a key role in shaping the technical foundation of our data ecosystem. As a senior member of the team, you'll work closely with engineers, analysts, product managers, and data scientists to deliver data pipelines and platforms that drive meaningful business outcomes. The ideal candidate is a strong problem solver, a team player, and someone who brings both technical depth and a collaborative mindset to every challenge. If you're excited by this challenge and want to work within a dynamic company, then we'd love to hear from you. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs. THE GAME PLAN Everyone on our team has a part to play Build & Maintain Data Infrastructure - Design, develop, and maintain scalable ETL/ELT pipelines to support data products, analytics, and operational systems - Work with large-scale, complex datasets and ensure data is clean, well-modeled, and accessible across the organization - Develop and maintain batch and streaming data pipelines and data platforms using modern tools and technologies Deliver High-Quality, Reusable Solutions - Build modular, reusable data models
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