Data Engineer

FanDuel Group is the premier mobile gaming company in the United States and Canada, seeking a Data Engineer to join their growing data platform team. The role involves designing and maintaining reliable, secure, and cost-efficient data platforms to support analytics, machine learning, and business decision-making across the company.

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

Skills

• 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
• 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

Benefits

• Medical, vision, and dental insurance
• Life insurance
• Disability insurance
• A 401(k) matching program
• Paid personal time off
• 14 paid company holidays
• Paid sick time in accordance with all applicable state and federal laws
• An array of health plans to choose from
• Programs for fertility and family planning
• Mental health support
• Fitness benefits
• Generous paid time off (PTO & sick leave)
• Annual bonus and long-term incentive opportunities (based on performance)
• Commuter benefits
• Pet insurance

Company Overview

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