Data Engineer (Hybrid)

📋 Description

• Collaborates with Statisticians & Data Scientists to enable streamlined data flow for the Data
• Develop, construct, test and maintain architectures to support Modeling & Analytics projects
• Build data products and service processes which perform data transformation, metadata extraction
• Implement standardized, automated operational and quality control processes to deliver accurate and
• Adhere to best practices for coding, testing and designing reusable code/components.
• Contribute to discovery of new tools and techniques and propose improvements to the data pipeline.

🎯 Requirements

• MS or PhD in statistics, mathematics, computer science or other quantitative disciplines with 2-3
• 1+ year experience building production-grade data solutions using modern AI frameworks (LangGraph
• Experience with one or more programming languages: Java, Python, Scala, C, C++, C#, Swift/Objective
• Experience with Big Data Management, Master Data Management tools, and SQL.
• 1+ years' experience with Amazon Web Services (preferred).
• Experience in publishing analytics output in R Shiny and/or Plotly Dash (preferred).

🎁 Benefits

• Comprehensive benefits package including paid time off (vacation, holidays, sick).
• Medical, dental, and vision insurance.
• 401(k) plan.
• Eligible for short-term incentive programs.