FanDuel is seeking a Staff Data Engineer to lead the technical design and implementation of their critical data infrastructure and products, aiming to solve complex technical challenges that power analytics, data science, and business function use cases across the company.
Requirements
- 8+ years of experience in data engineering or a related field, with a focus on building scalable data systems and platforms.
- Strong expertise in modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure)
- Deep understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures
- Proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
- Demonstrated experience owning complex technical systems end-to-end, from design through production
- Experience designing data platforms that support analytics, machine learning, and operational workload
- Experience with infrastructure-as-code and data platform observability (e.g., Terraform)
Responsibilities
- Design and implement scalable, maintainable, and secure batch & streaming data pipelines and architectures that support enterprise-wide data needs
- Define standards for data modeling, data product design, and pipeline orchestration using modern tools and cloud-native technologies
- Collaborate with cross-functional stakeholders to translate business and analytical requirements into end-to-end data solutions
- Establish and enforce engineering best practices around code quality, testing, documentation, and deployment
- Contribute to the evolution of the data platform, ensuring systems are modular, interoperable, and resilient
- Lead technical design and code reviews, mentoring peers and raising the bar for engineering excellence
- Partner with data platform teams, analytics, and data science to deliver reusable data assets and shared infrastructure
Other
- 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.
- Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- Familiarity with data governance, privacy, and compliance frameworks
- Background in customer-centric or product-driven environments (e.g., digital, eCommerce, SaaS)
- LI-Hybrid
