Analytics Engineer

About the role

FanDuel is hiring an Analytics Engineer for its Sports Modeling & Innovation team in Jersey City. You will design, build, maintain and improve the data models, datasets and visualizations used by data scientists to drive business decisions. You will bridge the gap between the data and the Data Engineering team and the data scientists, analysts and other stakeholders.

Key responsibilities

• Develop pipelines for fast (sometimes real-time) data ingestion into databases such as SQL and Delta Lake
• Maintain validation pipelines that flag bad or missing data and iterate them when new databases are created
• Manage existing data transformation jobs, optimize code across codebases and troubleshoot issues
• Automate data cleaning projects on large datasets and manage memory versus speed trade-offs to reduce query execution times
• Create and own a backlog of prioritized Tableau dashboard and R Shiny app additions
• Curiosity about AI and emerging technologies is a plus

Required profile

• 3+ years of experience in an analytics or data engineering role
• 2+ years maintaining databases and improving data ingestion pipelines
• Bachelor's degree, preferably in a numerate major (Math, Stats, Econ) or relevant data analysis experience
• Strong organizational and time management skills, ability to work in a fast-paced environment and in collaborative teams

Required skills

• Deep understanding of relational databases
• SQL, Databricks, R/Python, Tableau, AWS S3 buckets and command line
• Building data pipelines with Python/R and Databricks is a strong advantage

What we offer

• Salary range of $116,000 - $152,250 depending on experience, location and market
• Medical, vision and dental insurance, life and disability insurance
• 401(k) with up to a 5% match
• Paid time off, sick leave and 14 paid company holidays
• Annual bonus and long-term incentive opportunities
• Commuter benefits and pet insurance