Job Details

Data Engineer / Senior Data Engineer

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.

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.

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

What You'll Bring

• Senior experience level of 5-8 years post-grad with relevant industry experience or graduate level degree
• Tech: As a data engineer you will be expected to problem solve coding issues and enhancements with frameworks that are built in Spark, while also leveraging technical skills to partake in idea sessions on process improvement and POC design of how to carry out a solution
• SQL: 2-4 years (Preferred)
• Spark: 1-2 years (Preferred)
• NoSQL Databases: 1-2 years (Preferred)
• Database Architecture: 2-3 years (Preferred)
• Cloud Architecture: 1-2 years (Preferred)
• Data: As a data engineer you will be expected to problem solve some basic data analysis issues and work the data to create analytic enhancements
• Healthcare Data: 2-4 years (Preferred)
• Healthcare Analytics: 1-3 years (Preferred)

Would Love For You To Have

• AWS (S3 and EC2): 2-3 years
• Python: 3-5 years
• Nifi: 3-5 years
• Kafka: 3-5 years
• Java: 3-5 years
• Healthcare Analytics: 3-5 years

What You'll Get

• 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

Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership.

If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) ###-#### and select option 3. For more information, visit our website.