Data Engineer

FanDuel

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Atlanta, GA
Salary
$116,000–$145,000 / yr
Posted
73 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 design, develop, and maintain reliable data systems that power analytics, machine learning, and business decision-making. This role involves building and maintaining scalable batch and streaming data pipelines while ensuring data is accurate and delivered timely. The engineer will collaborate with data scientists, analysts, and product managers to translate ambiguous requirements into technical tasks within an agile environment. Key responsibilities include monitoring pipelines, troubleshooting issues, implementing quality checks, and documenting architecture decisions. Candidates should possess experience in data modeling, warehousing, and ETL/ELT practices. Required skills include SQL and proficiency in Python, Java, or Scala. The role utilizes tools such as Databricks, Airflow, dbt, Spark, and Kafka on cloud platforms like AWS, GCP, or Azure to solve complex problems involving large-scale data infrastructure.

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.
  • Translate complex business questions into technical engineering tasks and project plans.
  • Monitor data pipelines to troubleshoot issues and ensure timely delivery of accurate data.
  • Implement data quality checks and contribute to observability and testing practices.
  • Document data sources, transformations, and architecture decisions for long-term maintainability.
  • Lead projects to develop or improve well-scoped data products.

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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