Senior Staff Data Engineer

Qualifications

• 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 (e.g., Spark, Airflow, dbt, Kafka, Fivetran, Databricks) and cloud platforms like AWS, GCP, or Azure
• 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

Responsibilities

• Architect & Build Scalable Data Solutions
• 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
• 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
• 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

Full Description

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Job Summary:

FanDuel Group is the premier mobile gaming company in the United States and Canada, known for its leading brands in mobile wagering and fantasy sports. They are seeking a Senior Staff Data Engineer to design and build scalable data solutions, collaborate with cross-functional teams, and drive technical leadership within the organization.

Responsibilities:

• Architect & Build Scalable Data Solutions

• 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

• 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

• 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

Qualifications:

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 (e.g., Spark, Airflow, dbt, Kafka, Fivetran, Databricks) and cloud platforms like AWS, GCP, or Azure.

• 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

Company:

FanDuel is a gaming company that offers sportsbook, daily fantasy sports, horse racing, and online casino games. Founded in 2007, the company is headquartered in New York, New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage. FanDuel has a track record of offering H1B sponsorships.