Data Engineer (Hybrid)

📋 Description

• Design and build scalable data-pipelines across initiatives such as agentic trail design, digital
• Collaborate with Statisticians & Data Scientists to enable streamlined data flow for 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/components

🎯 Requirements

• MS or PhD in statistics, mathematics, computer science or other quantitative discipline with 2-3
• 1+ years experience building production-grade data solutions using modern AI frameworks such as
• Experience with one or more general purpose programming languages including Java, Python, Scala, C
• Experience with Big Data Management, Master Data Management tools & SQL
• Preferred: 1+ years' experience with Amazon Web Services
• Preferred: Experience publishing analytics in R Shiny and/or Plotly Dash