Data Engineer (Hybrid)

📋 Description

• Collaborates with Statisticians & Data Scientists to enable streamlined data flow for the Data
• Develop, construct, test and maintain architectures (such as databases and large-scale process
• 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/component.
• Contribute to the discovery and understanding of new tools, and techniques and propose improvements

🎯 Requirements

• MS or PhD in statistics, mathematics, computer science or other quantitative discipline with 2-3
• 1+ year experience building production-grade data solutions using modern AI frameworks such as
• Experience with one or more general-purpose programming languages, including but not limited to
• Experience with Big Data Management, Master Data Management tools & SQL.
• 1+ years' experience in Amazon Web Services (preferred).
• Experience in publishing analytics output in R Shiny and/or Plotly Dash (preferred).

🎁 Benefits

• Paid time off (vacation, holidays, sick)
• Medical/dental/vision insurance
• 401(k) to eligible employees
• Short-term incentive programs
• Salary range: $96,500 - $183,500