Data Engineer

FanDuel is a mobile gaming and sports entertainment company. The Data Engineer will build and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, artificial intelligence, and business decision-making. The role also involves collaborating with cross-functional teams, monitoring data systems, implementing data quality practices, and documenting data architecture.

Responsibilities

• Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations
• Write clean, efficient, and well-documented code using tools like Python, SQL, and Spark
• Ensure data is reliable, accurate, and delivered in a timely manner
• Deliver solutions supporting ML, DS, Analytics and AI use cases
• Work with data analysts, data scientists, and product managers to understand requirements and deliver actionable data solutions
• Translate business questions into engineering tasks and contribute to technical planning
• Participate in code reviews, sprint planning, and retrospectives as part of an agile team
• Monitor data pipelines and troubleshoot issues in a timely, systematic manner
• Implement data quality checks and contribute to observability and testing practices
• Document data sources, transformations, and architecture decisions to support long-term maintainability

Preferred

• 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
• BI support
• Analytics support
• Data science support
• Version control
• CI/CD
• Data governance
• Privacy practices
• Compliance practices
• Eagerness to learn
• Team contribution

Benefits

• An array of health plans to choose from, some as low as $0 per paycheck
• Fertility and family planning programs
• Mental health support
• Fitness benefits
• Generous paid time off (PTO & sick leave)
• Annual bonus opportunities based on performance
• Long-term incentive opportunities based on performance
• 401(k) with up to a 5% match
• Commuter benefits
• Pet insurance
• Medical insurance
• Vision insurance
• Dental insurance
• Life insurance
• Disability insurance
• A 401(k) matching program
• Short-term or long-term incentive compensation, including cash bonuses and stock program participation
• Paid personal time off
• 14 paid company holidays
• Paid sick time in accordance with all applicable state and federal laws

Company

• Sports betting, daily fantasy sports, and casino gaming platform.
• New York, New York, USA
• http://www.fanduel.com/
• Founded in 2007
• 1001-5000 employees

Qualifications

• 3+ years of experience in data engineering, analytics engineering, or software engineering with a focus on data
• Strong SQL skills and familiarity with at least one programming language (e.g., Python, Java, or Scala)
• Hands-on experience with modern data tools such as Databricks, Airflow, dbt, Spark, or Kafka
• Understanding of data modeling concepts, data warehousing, and ETL/ELT best practices
• Experience working with cloud-based data platforms (AWS, GCP, or Azure)
• 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
• 3+ years of experience in data engineering, analytics engineering, or software engineering with a focus on data.

Required skills

• Apache Airflow, Apache Kafka, Apache Spark, Cloud Data Platforms, Data Modeling, Data Warehousing, Databricks, ETL/ELT, Python, SQL, dbt

Preferred skills

• Experience supporting BI, analytics, or data science teams

Experience

• 3+ years