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Key Responsibilities:Develop efficient data ingestion pipelines for real-time data processing into databases (e.g., SQL, Delta Lakes). Maintain validation pipelines to identify and rectify data quality issues. Optimize existing data transformation jobs and troubleshoot challenges within the Sports Modeling and Innovation team. Manage database automation for extensive data cleaning tasks. Make strategic decisions on memory and speed trade-offs to enhance project efficiency. Prioritize and manage a backlog of enhancements for Tableau dashboards and Rshiny applications. Show curiosity towards AI and emerging technologies. Qualifications:3+ years of experience in analytics or data engineering roles.2+ years in database maintenance focusing on data ingestion improvements. Strong understanding of relational databases. Proficient in SQL, Databricks, R/Python, Tableau, and AWS S3.Experience in building data pipelines with Python/R and Databricks is highly desirable. Bachelor's Degree in a quantitative field (e.g., Mathematics, Statistics, Economics).
About the job
FanDuel seeks an Analytics Engineer for the Sports Modeling & Innovation group in Jersey City. The position focuses on supporting data-driven decisions by building and refining data models, datasets, and visualizations that empower data scientists and business stakeholders.
Main responsibilities
Design and develop data models and datasets tailored for analytics projects
Create visualizations that turn complex data into clear, actionable insights
Act as a bridge between data infrastructure and analytics teams, ensuring smooth collaboration
Align data insights with strategic business objectives
Team environment
The Sports Modeling & Innovation team values curiosity and independent thought. Team members are encouraged to make decisions and try new approaches. There is a strong emphasis on learning and continually improving how data is used to solve problems.
About FanDuel
FanDuel is a leading sports-tech entertainment company that empowers fans to engage with their favorite sports in innovative ways. We are dedicated to fostering a culture of inclusivity and excellence, making us a prime destination for talent in the tech and sports industries.
Full-time|Hybrid|Jersey City, New Jersey, United States; McLean, Virginia, United States; Richmond, Virginia, United States
About Us:At Exiger, we revolutionize supply chains, transforming them into strategic assets that bolster transparency and safety in business operations. Our cutting-edge AI platform, 1Exiger, provides unparalleled insights into intricate supplier networks, utilizing proprietary data and advanced AI technology to identify risks, streamline compliance, and ach…
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FanDuel seeks an Analytics Engineer for the Sports Modeling & Innovation group in Jersey City. The position focuses on supporting data-driven decisions by building and refining data models, datasets, and visualizations that empower data scientists and business stakeholders. Main responsibilities Design and develop data models and datasets tailored for analytics projects Create visualizations that turn complex data into clear, actionable insights Act as a bridge between data infrastructure and analytics teams, ensuring smooth collaboration Align data insights with strategic business objectives Team environment The Sports Modeling & Innovation team values curiosity and independent thought. Team members are encouraged to make decisions and try new approaches. There is a strong emphasis on learning and continually improving how data is used to solve problems.
Full-time|On-site|Jersey City, New Jersey, United States; McLean, Virginia, United States; Richmond, Virginia, United States
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