Senior Data Engineer - FanDuel Careers

FanDuel

Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$138,000–$181,650 / yr
Posted
15 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k
This role $160k
$123k most similar roles pay here $230k

This role pays less than 64% of similar roles. Most pay $135,000–$203,712 — the shaded band above. At the midpoint, this role pays about $160k versus about $169k 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 4 open roles on FindRole.

Most-posted roles

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At a glance

TL;DR · Senior Data Engineer - FanDuel Careers

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The Senior Data Engineer role at Fanduel involves designing and building scalable data solutions that power analytics, machine learning, and business operations. As a senior member of the team, you will work closely with engineers, analysts, product managers, and data scientists to develop ETL/ELT pipelines using modern tools like Spark, dbt, Airflow, Kafka, and Databricks. You’ll ensure data quality through validation frameworks and monitoring while collaborating on technical design discussions and architecture reviews. The ideal candidate has 5+ years of experience in data engineering with strong SQL skills and fluency in Python, Scala, or Java, along with hands-on experience in cloud-based platforms like AWS, GCP, or Azure. Experience supporting analytics and machine learning workflows is preferred.

Skills

Python SQL Spark dbt Airflow Kafka Databricks AWS GCP Azure CI/CD Git Terraform PostgreSQL Snowflake BigQuery

What you'll do

  • Design and develop scalable ETL/ELT pipelines for data products and analytics.
  • Maintain batch and streaming data pipelines using modern tools like Spark, dbt, or Kafka.
  • Build modular, reusable data models to support business needs and reliable solutions.
  • Ensure data quality through validation frameworks and monitoring across the organization.
  • Actively participate in technical design discussions and architecture reviews.

What we're looking for

  • 5+ years of experience in data engineering or software engineering with a focus on building data pipelines and platforms.
  • Strong SQL skills and fluency in at least one programming language (e.g., Python, Scala, Java).
  • Hands-on experience with modern data tools such as Airflow, Spark, dbt, Kafka, Databricks.
  • Deep understanding of data modeling, warehousing, and best practices for data quality and observability.
  • Experience with cloud-based data platforms like AWS, GCP, or Azure.
  • Strong problem-solving skills and ability to work independently in a fast-paced environment.

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