Data Engineer / Senior Data Engineer

About Arcadia

Arcadia is dedicated to happier, healthier days for all. We transform diverse data into a unified fabric for health. Our platform delivers actionable insights for our customers to advance care and research, drive strategic growth, and achieve financial success.

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 programming languages.

As a 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

• Work on higher level enhancement requests and ingestion pipelines
• Deliver data reviews to clients and other departments regarding code quality and test cases
• 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

• Develop/support a range of data pipelines with varying complexity
• Work with Product, Engineering or Implementation to build out tools for better data integration capabilities
• Work on standardized data connector development
• Pick a SME (subject matter expert) path that aligns with your career development goals and evolving needs of the business

What You'll Be Doing

As a Senior 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. Your outcomes are critical to driving the long-term partnership between Arcadia and our customers.

• Design and documentation of connectors / ingestion pipelines
• Build and unit testing of delivery connectors / ingestion pipelines
• 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.

The expectations of the day to day of an engineer is as follows:

• Delivery
  • 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
  • Consistently deliver pipelines of increasing quality with "lessons learned" incorporated into next project
  • Able to apply critical think