Data Engineer

FanDuel • Atlanta, GA

5h • Hybrid

About The Position

Our roster has an opening with your name on it
We are looking for a Data Engineer to join our growing data platform team and help build, operate, and scale the foundational data infrastructure that powers analytics, machine learning, and business decision-making across the company. In this role, you’ll design and maintain reliable, secure, and cost-efficient data platforms, enabling data engineers, analysts, and data scientists to do their best work.
You’ll work closely with engineering, analytics, and security partners to improve platform reliability, performance, and developer experience, while supporting high-impact data workloads at scale.
The ideal candidate is a strong technical contributor who enjoys working on distributed systems, automating infrastructure, and solving complex platform challenges in a fast-paced environment.
If you’re excited by building resilient data platforms and want to make a broad impact within a dynamic company, we’d love to hear from you.
In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

Requirements

• 1–4 years of experience working with Apache Airflow or similar orchestration tools, including: Building and maintaining DAGs for production workloads.
• Understanding retries, scheduling, dependencies, and basic sensor usage.
• 1–4 years of experience developing in Python, with familiarity in writing readable, testable, and maintainable code.
• 1–4 years of experience working with Databricks or a comparable data platform, including: Building ETL/ELT pipelines using Delta Lake or similar technologies.
• Basic familiarity with SQL Warehouses, job compute, and performance concepts.
• Experience working in a cloud environment (AWS, Azure, or GCP), with exposure to: Cloud storage (e.g., S3), IAM concepts, and managed services.
• Secure access patterns and data handling best practices.
• Some experience or exposure to infrastructure as code (Terraform preferred), with interest in learning how platform infrastructure is deployed and managed.
• Familiarity with Git-based workflows and CI/CD concepts, especially as they relate to data or platform engineering.

Nice To Haves

• Exposure to data quality, observability, or lineage tools (e.g., Monte Carlo, Datafold) is a plus.
• Familiarity with dbt or an understanding of how it fits into a modern data stack is a plus.
• Experience supporting BI, analytics, or data science teams.
• Familiarity with version control, CI/CD, and collaborative development workflows.
• Exposure to data governance, privacy, or compliance practices.
• Eagerness to learn new technologies and contribute to the growth of the team.

Responsibilities

• Contribute to design and code reviews, learning and applying platform and development best practices to build high-quality, maintainable data pipelines.
• Monitor Databricks and Airflow jobs and queries, helping identify performance issues and working with senior engineers to implement improvements.
• Assist in the design and evolution of data platform components built on Databricks and Airflow, with an emphasis on reliability, scalability, and cost awareness.
• Author and maintain clear documentation for pipelines, workflows, data models, and platform usage to support operational excellence and onboarding.
• Partner with platform, analytics, and engineering teams to support adoption of modern platform features and data governance standards.
• Build and operate production-grade batch and near–real-time data pipelines, including basic monitoring, alerting, and operational runbooks.
• Learn and apply platform best practices by collaborating closely with senior engineers and participating in incident response and postmortems.
• Communicate findings, improvements, and operational insights through dashboards, queries, or short written updates to help teams make informed decisions.

Benefits

• We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits.
• We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards.
• Benefits differ across location, role, and level.
• medical, vision, and dental insurance
• life insurance
• disability insurance
• a 401(k) matching program
• paid personal time off and 14 paid company holidays.
• FanDuel offers paid sick time in accordance with all applicable state and federal laws.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed