As a Lead Data Engineer, you will 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
You will be expected to contribute to multiple implementations simultaneously, which will include both new customer setup as well as support and enhancements for existing customers
Requirements
Senior Experience Level of 5-8 years post-grad with relevant industry experience or graduate level degree.
SQL: 5+ years (Preferred)
Python: 3+ years (Preferred)
Spark: 4+ years (Preferred)
Database Architecture: 2-3 years (Preferred)
Cloud Architecture: 1-2 years (Preferred)
Healthcare Data: 2-4 years (Preferred)
Healthcare Analytics: 1-3 years (Preferred)
Tech Stack
Cloud
Python
Spark
SQL
Benefits
Chance to be surrounded by a team of extremely talented and dedicated individuals driven to succeed
Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care
A flexible, remote friendly company with personality and heart
Employee driven programs and initiatives for personal and professional development
Be a member of the Arcadian and Barkadian Community