Data Engineer

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Offered From the posting source checked Jun 20, 2026
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

$125K-$164K From the posting source checked Jun 20, 2026

401(k) match

Reported not verified - source URL not recorded; timestamp not recorded

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

29% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Engineer New York City THE POSITION Our roster has an opening with your name on it We are looking for a Data Engineer to join our growing data platform team and take end-to-end ownership of designing, building, and scaling the foundational data infrastructure that powers analytics, machine learning, and business decision-making across the company. In this role, you will independently drive the design and delivery of reliable, secure, and cost-efficient data platforms, enabling data engineers, analysts, and data scientists to do their best work. You will lead technical efforts in close partnership with engineering, analytics, and security teams - improving platform reliability, performance, and developer experience for high-impact data workloads at scale. You will bring strong engineering judgment to ambiguous technical problems, drive architectural decisions, and actively contribute to growing the technical capability of the team. The ideal candidate is an experienced engineer who takes ownership of complex systems end-to-end, solves ambiguous problems independently, and thrives in a fast-paced, collaborative environment. If you're excited by building resilient data platforms and want to make a broad impact at a dynamic company, we'd love to hear from you. In addition to the specific responsibilities outlined below, 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 - Own the design, development, and delivery of scalable data pipelines and platform components built on

Read the full description at www.fanduel.careers. FewerJobs shows a preview and links to the original posting.