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Data Engineer

FanDuel Open · verified Oct 24, 2026
New York Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at FanDuel. New York · $116,000–$145,000 base.

SalaryStated by FanDuel
$116,000 – $145,000
Base salary for this role, in USD per year, as published in the posting.
This role, from FanDuelOur estimate for the market: $130,000–$185,500Median $149,000
Below the market median of $149,000 for mid-level data engineering roles in New York.
Worked out from 29 postings that stated pay, median $149,000. Last updated Oct 21, 2026.
RoleData Engineering
SeniorityMid-level
LocationNew York
Base pay$116,000–$145,000
PostedSep 4, 2026 · 7w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and maintain batch and streaming pipelines that serve analytics and business operations
  • Write documented code with Python, SQL, and Spark to deliver data for machine learning, analytics, and AI work
  • Turn requirements from analysts, data scientists, and product managers into engineering tasks and actionable data solutions
  • Check pipeline health, investigate failures, add data quality tests, and document sources and transformations

What you bring

  • At least three years in data engineering, analytics engineering, or data-focused software engineering
  • Strong SQL ability, plus working knowledge of a programming language such as Python, Java, or Scala
  • Practical experience with a modern data platform or tool such as Databricks, Airflow, dbt, Spark, or Kafka
  • Understanding of data modeling, warehouses, ETL/ELT methods, and cloud platforms such as AWS, GCP, or Azure

Who this fits

This mid-level role suits a hands-on data engineer who can support batch and streaming work and partner with analytics, data science, and product teams. The position is based in New York.

From the employer

THE POSITION
Our roster has an opening with your name on it

We are looking for a Data Engineer to join our growing data engineering team and help build the pipelines and infrastructure that power analytics, machine learning, and business decision-making across the company. In this role, you’ll contribute to the design, development, and maintenance of reliable data systems while collaborating with stakeholders to support high-impact data use cases.

The ideal candidate is a strong technical contributor who enjoys working with data at scale, solving practical problems, and continuously learning in a fast-paced environment.

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 Pipelines

  • Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.
  • Write clean, efficient, and well-documented code using tools like Python, SQL, and Spark.
  • Ensure data is reliable, accurate, and delivered in a timely manner
  • Deliver solutions supporting ML, DS, Analytics and AI use cases.

Collaborate Across Teams

  • Work with data analysts, data scientists, and product managers to understand requirements and deliver actionable data solutions
  • Translate business questions into engineering tasks and contribute to technical planning.
  • Participate in code reviews, sprint planning, and retrospectives as part of an agile team.

Data Quality & Operations

  • Monitor data pipelines and troubleshoot issues in a timely, systematic manner
  • Implement data quality checks and contribute to observability and testing practices
  • Document data sources, transformations, and architecture decisions to support long-term maintainability

THE STATS
What we're looking for in our next teammate

  • 3+ years of experience in data engineering, analytics engineering, or software engineering with a focus on data.
  • Strong SQL skills and familiarity with at least one programming language (e.g., Python, Java, or Scala).
  • Hands-on experience with modern data tools such as Databricks, Airflow, dbt, Spark, or Kafka.
  • Understanding of data modeling concepts, data warehousing, and ETL/ELT best practices.
  • Experience working with cloud-based data platforms (AWS, GCP, or Azure).

    Preferred Qualifications

    • Experience supporting BI, analytics, or data science teams.
    • Familiarity with version control, CI/CD, and collaborative development workflows.
    • Exposure to data governance, privacy, or compliance practices.
    • Eagerness to learn new technologies and contribute to the growth of the team.

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits, pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

The applicable salary range for this position is $116,000 - $145,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering$110k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.