Lead Data Engineer

Arcadia is dedicated to happier, healthier days for all, focusing on transforming complex data into a unified foundation for health. The Lead Data Engineer will drive the development of solution architecture and data pipeline connectors, crucial for automating data flow between client platforms and the analytic health solution platform.

Responsibilities:

• Drive the successful development of solution architecture and the completion of data pipeline connectors that automate the flow of data between client data platforms and our analytic health solution platform
• Improving the process of how we design and document data pipelines
• Identifying high leverage improvement projects and driving them to completion
• Support of our processes in partaking in peer code reviews, sprint planning, product grooming, maintaining Jira tasks and peer test reviews
• Contribute to multiple implementations simultaneously, which will include both new customer setup as well as support and enhancements for existing customers
• Responsible for delivery of work on expected timelines
• Able to identify risk to project success and communicate to leadership
• Works mostly independently on delivery w/decreasing involvement from engineering and more senior team members
• Able to apply critical thinking and problem solving skills to propose solutions for complex problems within day to day work
• Develop a deep understanding of our systems so you can work on projects to improve them
• Developing ability to understand technical issues and communicate potential solutions to team members or engineering team
• Developing working knowledge of the business of healthcare data and how it interacts within the Arcadia products
• Understanding of shared value contracts that our customers are in and how data is impacted by them
• Developing knowledge of industry data expected values such as PMPM by LOBs, MM trends, etc
• Developing internal and external professional communication skills including presentation of issues using appropriate industry vocabulary
• Responsible for contributing to the advancement of team processes and internal

Requirements:

• Senior Experience Level of 5-8 years post-grad with relevant industry experience or graduate level degree
• SQL: 5+ years
• Python: 3+ years
• Spark: 4+ years
• Database Architecture: 2-3 years
• Cloud Architecture: 1-2 years
• Healthcare Data: 2-4 years
• Healthcare Analytics: 1-3 years
• AWS (S3 and EC2): 2-3 years
• Nifi: 3-5 years
• Kafka: 3-5 years
• Java: 3-5 years
• Healthcare Analytics: 3-5 years