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Analytics Engineer

Pay
USD 116,000–145,000/yearAnnual period assumed — pay source
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.
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Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Build and maintain data models, datasets and dashboards for business stakeholders

  • Optimize data pipelines and feature engineering with Data Scientists and Data Engineers

  • Manage data transformation jobs, keeping them on schedule and troubleshooting issues

  • Design and implement data quality checks and alerts for underlying data

  • Turn customer behaviors into features for analysis, segmentation and predictive modeling

From the employer’s posting
designing, building, maintaining, and improving the data models, datasets and data visualizations
Work with Data Scientists and Data Engineers to optimize data pipelines and feature engineering
Manage data transformation jobs for relevant data, ensure completion on schedule, optimize code, troubleshoot any issues
Design and implement data quality checks and alerts to manage accuracy of underlying data
develop new and innovative ways to turn behaviors into features for use in analysis, segmentation and predictive modeling

About FanDuel

FanDuel Group is the premier mobile gaming company in the United States and Canada.

In the employer’s words · Read in context

Apply at FanDuel

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 12, 20262 days ago
Recorded sightings
3
Last seen by us
Nov 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$116K–$145K against $122K–$190K, the middle half of what similar US postings state.

From 333 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 2

Early. Similar jobs usually come down between day 7 and day 51.

At FanDuel, jobs usually come down by about day 60.

From 1,667 similar postings that came down, and 11 of FanDuel’s. Coming down is not always a hire.

FanDuel is hiring

20 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • C#
  • Python
  • R
  • SQL
  • Databricks
  • Tableau
Where the posting names them
- Advanced SQL coding and experience of manipulating large datasets - Proficient in at least one programming language (e.g. Python, R, C# etc.) - Strong problem solving ability and attention to detail are important
- Strong problem solving ability and attention to detail are important - Experience building data pipelines using Python and Databricks an advantage - Experience working with data visualization tools like Tableau an advantage
- Minimum 2 years building, maintaining and optimizing complex data pipelines with real world applications - Advanced SQL coding and experience of manipulating large datasets - Proficient in at least one programming language (e.g. Python, R, C# etc.)
- Experience building data pipelines using Python and Databricks an advantage - Experience working with data visualization tools like Tableau an advantage - Undergraduate degree in a coding heavy or technical discipline

Your next step

Complete your application on www.fanduel.careers. The employer’s form will show what is required.

Applying through Greenhouse

  • No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
  • Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.

Already applied? Track this application

Has FanDuel posted this job before?

Yes. We’ve followed 2 other Analytics Engineer jobs there since July 2026. All 2 are still up.

  1. Jersey CityStill up after 108 days, first seen Jul 30
  2. This jobUp 2 days so far, first seen Nov 12
  3. New YorkStill up after 2 days, first seen Nov 12

Demand for Analytics Engineer roles

New Analytics Engineer postings at the employers we follow are down 14% over the last 6 weeks compared with the 6 before.

Weekly new Analytics Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 83, the most 171, and the latest week had 95.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

THE POSITION

Our roster has an opening with your name on it

FanDuel is looking for an Analytics Engineer who will be responsible for designing, building, maintaining, and improving the data models, datasets and data visualizations which are and will be used by data scientists, analysts and stakeholders to power business performance impacting decisions in Generosity/Promotional Spend.

This is a great opportunity for somebody who wants to work in an environment where curiosity is rewarded and people are empowered to make decisions. The ideal candidate will have a passion for continual learning and developing innovative solutions to business problems.

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

  • Work with Data Scientists and Data Engineers to optimize data pipelines and feature engineering for reporting, analysis, classification and prediction models
  • Manage data transformation jobs for relevant data, ensure completion on schedule, optimize code, troubleshoot any issues
  • Optimize modeled metric pipelines, streamline execution times and prioritizations, reduce query execution times where possible, remove unnecessary or unused metrics
  • Leverage AI to accelerate and enhance your work, taking care to ensure high integrity, managing AI risk of error, and maintaining excellent understanding of AI output to avoid blind trust.
  • Build a strong understanding of Sportsbook Generosity Distribution strategy, our customers behaviors and preferences, and your stakeholders objectives, to support collaboration, and focus on delivering impactful output and ideation
  • Through idea generation and exploratory analysis, develop new and innovative ways to turn behaviors into features for use in analysis, segmentation and predictive modeling
  • Maintain business rule definitions, and code implementations
  • Design and implement data quality checks and alerts to manage accuracy of underlying data, and ensure modeled metrics are fit for purpose
  • Build strong knowledge in how to optimally use our data platforms, and assist in educating team members in optimal platform usage;
  • Build and maintain strong working relationships with key stakeholders in relevant teams within the Data Engineering and Data Product departments;
  • Build and maintain dashboards, optimize code, troubleshoot issues
  • Identifying potential improvements in underlying ingested data, or new data needs, and working with Data Engineering to prioritize and deliver

 

THE STATS

What we’re looking for in our next teammate

  • Minimum 3 years of experience in a similar role
  • Minimum 2 years building, maintaining and optimizing complex data pipelines with real world applications
  • Advanced SQL coding and experience of manipulating large datasets
  • Proficient in at least one programming language (e.g. Python, R, C# etc.)
  • Strong problem solving ability and attention to detail are important
  • Experience building data pipelines using Python and Databricks an advantage
  • Experience working with data visualization tools like Tableau an advantage
  • Undergraduate degree in a coding heavy or technical discipline
  • Interest in Sports an advantage

 

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.

#LI-Hybrid

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New York City

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. #LI-Hybrid
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