Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.
We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.
For more information, visit arcadia.io.
Why This Role Is Important to Arcadia
The Arcadia Data Engineering team onboards and supports the data feed integrations between Client Claim and Clinical data management platforms and our Healthcare Solution Platform. Our customers are top Healthcare providers and payers, and we help them integrate their internal systems with our analytic platform. The Data Engineering team is responsible for the data architecture that drives the partnership with customers and other internal organizations to drive success through adoption of cutting edge analytic solutions that leverage new age technologies and best practices. Our Data Engineers require both SQL Database knowledge and design , along with multiple programing languages.
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 Claim and Clinical data platforms and our analytic health solution platform. Your efforts will be critical to driving the long-term partnership between Arcadia and our customers.
What Success Looks Like
In 3 months
- Learn the different areas of the data connector life cycle, and develop a working knowledge of the technical stacks, storage platforms, data models, and Arcadia's development cycle
- Familiarize yourself with the existing data pipeline and associated product capabilities
- Set to work on new ingestion pipelines with full bandwidth available (as formal training will end)
In 6 months
- Meaningfully contribute to team efficiency by building or rolling out new functionality to enhance team speed
- Build a backlog of development projects that you can start executing on in the next 6 months
- Build strong relationships with engineering organization that supports the data engineering stack so that you can help drive stack improvements
- Set your own personal vision of development and career aspirations and set a working path forward with leadership to work on how we can help you attain those goals
- Contribute to scrum ceremonies and ceremonies within the dev cycles while successfully updating status and progress in Jira
In 12 months
- Demonstrate impact to larger team’s ability to get the work done faster
- Continue to work with Product, Engineering or Implementation to build out tools for better data integration capabilities
- Work on standardizing data connector development with better abstraction patterns
- Become a SME (subject matter expert) on Arcadia’s data stack