FanDuel · 7 hours ago
Senior Staff Data Engineer
New York, NY
Full-time
Hybrid
Senior Level, Lead/Staff
$182K/yr - $228K/yr
10+ years expFanDuel is the premier mobile gaming company in the United States and Canada, seeking a Senior Staff Data Engineer to design and build the next generation of data solutions. This role involves architecting scalable data platforms, developing reusable data products, and providing technical leadership across teams to solve complex data-driven problems.
Fantasy SportsGamingSports
Responsibilities
Design and implement robust, scalable, and maintainable data pipelines and platform components using modern data stack tools and cloud infrastructure
Define and enforce architectural standards, data modeling best practices, and data quality frameworks
Drive the development of reusable, modular data products that serve multiple analytical and operational use cases
Demonstrated ability to lead data engineering decisions across multiple teams without direct management authority
Serve as a technical mentor and role model for other engineers, providing guidance on system design, performance optimization, and best practices
Lead design reviews, contribute to critical design and architecture decisions, and set coding standards across the team
Collaborate closely with data science, analytics, product, and business teams to understand requirements and translate them into technical solutions
Participates in part-time coding on critical data infrastructure initiatives, pipeline optimization, and platform proof-of-concepts
Efficient data pipeline patterns and anti-pattern avoidance
Experience teaching data engineering techniques such as efficient data pipeline patterns and anti-pattern avoidance (minimize data shuffling, avoiding full table scans, reduce network I/O, and eliminate unnecessary data copying between systems)
Guide engineers in right-sizing clusters, optimizing resource allocation, and implementing auto-scaling patterns to reduce costs
Guide engineers on advanced concepts, architectural decision-making, and technical growth
Identify gaps and opportunities in the existing data platform and propose scalable improvements that drive business value
Stay ahead of emerging technologies and help the team evaluate and adopt the right tools for our evolving needs
Advocate for customer-centric design in data solutions, ensuring we’re solving the right problems with the right abstractions
Lead efforts in observability, monitoring, and reliability for our data pipelines and infrastructure
Contribute to initiatives that improve developer velocity, reduce technical debt, and ensure platform sustainability
Collaborate with the data governance team to uphold standards around data security, privacy, and compliance
Qualification
Required
10+ years of experience in data engineering or software engineering, with a focus on building data platforms and pipelines at scale
Expertise in modern data technologies on cloud platforms like AWS, GCP, or Azure
Expertise in data engineering technologies including: Stream Processing such as Apache Kafka, Apache Flink, Pulsar, or Kinesis; Batch Processing: Apache Spark, Apache Beam, Databricks, or EMR; Orchestration: Apache Airflow, or Dagster; Data Transformation: dbt, Apache Spark SQL; Data Warehouses: Databricks, Redshift, or Snowflake
Strong command of SQL and at least one programming language (e.g., Python, Scala, Java)
Deep experience designing data models, data products, and ETL/ELT workflows for large, complex datasets
Proven ability to lead technical projects end-to-end, from architecture to implementation and operationalization
Exceptional communication and collaboration skills, with a track record of influencing stakeholders across engineering, product, and analytics teams
Preferred
Experience building data platforms in a product-driven or DTC organization
Knowledge of ML/AI data infrastructure and supporting machine learning workflows in production
Contributions to open-source projects or engineering blogs is a plus
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.
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.
Company
FanDuel
FanDuel is a gaming company that offers sportsbook, daily fantasy sports, horse racing, and online casino games.
1001-5000 employees
H1B Sponsorship
FanDuel has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (2)
2022 (1)
2021 (2)
2020 (2)
Funding
Current Stage
Late StageTotal Funding
$416.2MKey Investors
Kohlberg Kravis RobertsShamrock Capital AdvisorsComcast Ventures
2020-12-03Acquired
2017-09-12Series E
2016-09-14Convertible Note· $55M
Leadership Team
Josh Ives
SVP Customer Experience Operations
Caralyn Cooley
Chief People Officer
Recent News
2026-01-13
2026-01-12
2026-01-12
Company data provided by crunchbase