Senior Data Engineer

FanDuel

Confirmed live 2 days ago High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Atlanta, GA
Salary: $138,000–$181,650 / yr
Posted: 50 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $174k

This role $160k

$121k most similar roles pay here $219k

This role pays less than 61% of similar roles. Most pay $139,187–$209,675 — the shaded band above. At the midpoint, this role pays about $160k versus about $174k 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 · Senior Data Engineer

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As a Senior Data Engineer, you will join the data engineering team to design and build scalable, reliable, and high-quality data solutions that power analytics, machine learning, and business operations. You will be responsible for developing and maintaining batch and streaming ETL/ELT pipelines while ensuring large-scale datasets are clean, well-modeled, and accessible across the organization. Your daily work involves building modular assets using Spark and dbt, participating in technical design discussions, and mentoring junior engineers through code reviews. The role requires proficiency in SQL and at least one programming language such as Python, Scala, or Java. You will utilize tools like Airflow, Kafka, and Databricks within cloud-based platforms like AWS, GCP, or Azure to solve complex data modeling and warehousing challenges while ensuring high standards for data quality and observability.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

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Skills

SQL Python Spark dbt Airflow Kafka Databricks AWS GCP Azure ETL ELT Data Modeling Data Warehousing infrastructure-as-code Version Control

What you'll do

Design, develop, and maintain scalable ETL/ELT pipelines for data products and operational systems.
Build modular, reusable data models and assets using tools like Spark and dbt.
Manage large-scale datasets to ensure they are clean, well-modeled, and accessible across the organization.
Develop both batch and streaming data pipelines using modern technologies and platforms.
Implement validation frameworks and monitoring to ensure data quality, accuracy, and consistency.
Participate in technical design discussions and architecture reviews to improve platform performance and scalability.
Mentor junior engineers through code reviews and collaborative problem-solving.

What we're looking for

5+ years of experience in data engineering or software engineering focused on building data pipelines and platforms.
Strong SQL skills and fluency in at least one programming language such as Python, Scala, or Java.
Hands-on experience with modern data tools including Airflow, Spark, dbt, Kafka, or Databricks.
Deep understanding of data modeling, data warehousing, and best practices for data quality and observability.
Experience with cloud-based data platforms such as AWS, GCP, or Azure.
Ability to design and maintain scalable ETL/ELT pipelines and batch/streaming data systems.
Familiarity with infrastructure-as-code, DevOps practices, and data governance frameworks.
Experience supporting analytics and machine learning workflows in a product-led environment.

Senior Data Engineer

Caterpillar

Chicago, IL +1 59 days ago $112,710–$183,140

Python AWS Bedrock Lambda DynamoDB Fargate S3 SageMaker IAM RDS PostgreSQL MongoDB Oracle Git CI/CD Jenkins GitHub Actions Azure DevOps NoSQL OOP

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