Senior Data Engineer

FanDuel

$138K — $181K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in data engineering or software engineering with a focus on data pipelines
  • Strong SQL skills and proficiency in Python, Scala, or Java
  • Hands-on experience with tools like Airflow, Spark, dbt, Kafka, or Databricks
  • Solid understanding of data modeling and data warehousing best practices
  • Experience with cloud platforms such as AWS, GCP, or Azure
  • Excellent problem-solving skills with the ability to work independently

Responsibilities

  • Design and develop scalable ETL/ELT pipelines for data products
  • Ensure data integrity and accessibility across complex datasets
  • Build and maintain batch and streaming data pipelines
  • Create modular, reusable data models using frameworks like Spark
  • Collaborate with stakeholders to develop production-ready data solutions
  • Promote software engineering best practices through documentation and code reviews
  • Mentor junior engineers and facilitate technical discussions

Benefits

  • Comprehensive health plans including mental health and fitness programs
  • Generous paid time off including sick leave and holidays
  • 401k with up to a 5% match
  • Annual bonuses and long-term incentives based on performance
  • Pet insurance and commuter benefits
Full Job Description
THE POSITIONOur roster has an opening with your name on it

We are looking for a Senior Data Engineer to design and build scalable, reliable, and high-quality data solutions that power analytics, machine learning, and business operations. You'll be a hands-on contributor who plays a key role in shaping the technical foundation of our data ecosystem.

As a senior member of the team, you'll work closely with engineers, analysts, product managers, and data scientists to deliver data pipelines and platforms that drive meaningful business outcomes. The ideal candidate is a strong problem solver, a team player, and someone who brings both technical depth and a collaborative mindset to every challenge.

If you're excited by this challenge and want to work within a dynamic company, then 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.

THE GAME PLAN
Everyone on our team has a part to play

Build & Maintain Data Infrastructure
  • Design, develop, and maintain scalable ETL/ELT pipelines to support data products, analytics, and operational systems
  • Work with large-scale, complex datasets and ensure data is clean, well-modeled, and accessible across the organization
  • Develop and maintain batch and streaming data pipelines and data platforms using modern tools and technologies

Deliver High-Quality, Reusable Solutions
  • Build modular, reusable data models and assets using tools like Spark, dbt or similar frameworks
  • Collaborate with stakeholders to understand business needs and translate them into reliable, production-ready data solutions
  • Ensure data quality, accuracy, and consistency through validation frameworks and monitoring

Contribute to Engineering Excellence
  • Follow and promote software engineering best practices, including testing, version control, documentation, and code reviews
  • Actively participate in technical design discussions, and architecture reviews
  • Help evolve our data platform and tooling to improve performance, developer experience, and scalability

Collaborate & Communicate
  • Partner with data scientists, analysts, and product managers to support data-driven decision-making.
  • Clearly communicate technical concepts, project status, and risks to stakeholders
  • Share knowledge and mentor junior engineers through code reviews and collaborative problem-solving

THE STATS
What we're looking for in our next teammate
  • 5+ years of experience in data engineering or software engineering with a focus on building data pipelines and platforms.
  • Strong SQL skills and fluency in at least one programming language (e.g., Python, Scala, or Java).
  • Hands-on experience with modern data tools such as 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 (e.g., AWS, GCP, Azure).
  • Strong problem-solving skills and ability to work independently in a fast-paced environment.


Preferred Skills
  • Experience supporting analytics and machine learning workflows.
  • Familiarity with data governance, privacy, and compliance frameworks.
  • Experience working in a product-led or customer-centric organization.
  • Familiarity with infrastructure-as-code or DevOps practices related to data systems.


PLAYER BENEFITS
We treat our team right

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.

The applicable salary range for this position is $138,000 - 181,650 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

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