Staff Data Engineer

FanDuel

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Jersey City, NJ
Salary
$159,000–$208,950 / yr
Posted
37 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $177k
This role $184k
$130k most similar roles pay here $235k

This role pays less than 54% of similar roles. Most pay $139,914–$214,850 — the shaded band above. At the midpoint, this role pays about $184k versus about $177k 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 13 open roles on FindRole.

Listed pay typically runs $156,000–$204,750 across 13 roles with salary data.

Most-posted roles

View all roles at FanDuel

At a glance

TL;DR · Staff Data Engineer

Staff Data Engineer will join the data engineering team to lead the technical design and implementation of critical data infrastructure and products. This senior-level individual contributor role involves designing scalable batch and streaming pipelines, setting data modeling standards, and solving complex architectural challenges to support analytics, machine learning, and business functions. The successful candidate will build robust systems using Spark, Airflow, Kafka, Databricks, and cloud-native services like AWS, GCP, or Azure. Day-to-day responsibilities include collaborating with cross-functional stakeholders to translate requirements into end-to-end solutions, mentoring peers, and improving data quality and observability. Proficiency in SQL and programming languages such as Python, Scala, or Java is required. The role focuses on solving technical bottlenecks within the data platform while ensuring systems remain modular, performant, and reliable for various enterprise-wide use cases.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

See salary data

What you'll do

  • Design and implement scalable, secure batch and streaming data pipelines using cloud-native technologies.
  • Define standards for data modeling, product design, and pipeline orchestration across the enterprise.
  • Translate business and analytical requirements into end-to-end technical data solutions.
  • Establish and enforce engineering best practices regarding code quality, testing, documentation, and deployment.
  • Identify and resolve architectural bottlenecks to improve system performance and reduce complexity.
  • Improve data quality, lineage, observability, and overall system reliability.
  • Lead technical design reviews and mentor peers to ensure high standards of engineering excellence.
  • Evaluate and onboard new technologies and frameworks to maintain a modern data stack.

What we're looking for

  • 8+ years of experience in data engineering or a related field.
  • Expertise in building scalable data systems supporting ML, Analytics, and AI use cases.
  • Proficiency in SQL and at least one programming language such as Python, Scala, or Java.
  • Strong expertise in Spark, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure).
  • Deep understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures.
  • Experience owning complex technical systems end-to-end from design through production.
  • Familiarity with data governance, privacy, compliance frameworks, and infrastructure-as-code tools like Terraform.
  • Excellent communication skills to explain technical concepts to both technical and non-technical audiences.

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