Data Engineer

FanDuel

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$116,000–$145,000 / yr
Posted
30 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $165k
This role $130k
$105k most similar roles pay here $215k

This role pays less than 73% of similar roles. Most pay $126,800–$202,800 — the shaded band above. At the midpoint, this role pays about $130k versus about $165k for comparable roles.

Based on 240 similar postings.

Employer

About FanDuel

FanDuel is a leading online sports betting and daily fantasy sports platform operating across the United States, offering sportsbook wagering, casino games, and horse racing to millions of customers.

FanDuel currently has 42 open roles on FindRole.

Listed pay typically runs $138,000–$188,000 across 42 roles with salary data.

Most-posted roles

View all roles at FanDuel

At a glance

TL;DR · Data Engineer

Data Engineer - FanDuel Careers The Data Engineer joins the growing data engineering team to build, design, and maintain the pipelines and infrastructure powering analytics, machine learning, and business decision-making across the company. This role involves developing scalable batch and streaming data pipelines while ensuring data reliability and accuracy for ML, DS, Analytics, and AI use cases. The engineer will collaborate with data scientists and product managers to translate business questions into technical tasks within an agile framework. Key responsibilities include monitoring pipelines, implementing quality checks, and documenting architecture decisions. Required skills include SQL, Python, Java, or Scala, alongside experience with Databricks, Airflow, dbt, Spark, or Kafka. The role also requires knowledge of data modeling, warehousing, ETL/ELT best practices, and cloud-based platforms like AWS, GCP, or Azure to solve complex data problems at scale.

What does a Data Engineer earn?

Median $162000 from 195 postings across 59 companies.

See salary data

What you'll do

  • Design, build, and maintain scalable batch and streaming data pipelines for analytics and business operations.
  • Write clean, efficient, and well-documented code using Python, SQL, and Spark.
  • Deliver technical solutions to support machine learning, data science, and AI use cases.
  • Monitor data pipelines and troubleshoot issues in a timely and systematic manner.
  • Implement data quality checks and contribute to observability and testing practices.
  • Document data sources, transformations, and architecture decisions for long-term maintainability.
  • Translate business requirements from stakeholders into specific engineering tasks and technical plans.

What we're looking for

  • 3+ years of experience in data engineering, analytics engineering, or software engineering with a focus on data.
  • Strong SQL skills and proficiency in at least one programming language such as Python, Java, or Scala.
  • Hands-on experience with modern data tools including 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 like AWS, GCP, or Azure.
  • Experience supporting BI, analytics, or data science teams (preferred).
  • Familiarity with version control, CI/CD, and collaborative development workflows (preferred).
  • Exposure to data governance, privacy, or compliance practices (preferred).

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