Data Engineer - Arcadia

Job Title: Data Engineer
Job Location: Remote
Job Listing URL: https://jobs.lever.co/arcadia/a245251f-5e8c-494f-a166-32bad5b4db2a
Job Description: 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. 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 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, while having a working knowledge of the technical stacks , storage platforms , data models , and Dev. Cycle
- Work within Data Engineering Scrum team
- Set to work on new ingestion pipelines with full bandwidth available (as formal training will end)

In 6 months
- Properly contribute to scrum ceremonies and ceremonies within the dev cycles while successfully updating status and progress in Jira
- Work on higher level enhancement requests and ingestion pipelines
- Ability to Deliver Data related 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

In 12 months
- Developing a range of data pipelines with varying complexity
- Work with Product, Engineering or Implementation to build out tools for better data integration
- Pick an SME (Subject Matter Expert) path for what excites you the most
- Working on standardized data connector development
What You'll Be Doing
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 increasing connectors of increasing quality with "lessons learned" incorporated into next project
Able to apply critical thinking and problem solving skills to propose solutions for complex problems within day to day work

Technical Domain Knowledge:
Working and growing knowledge of new tech stack with less focus on finding efficiency in the technology and greater focus on understanding use of it.
Developing ability to understand technical issues and communicate potential solutions to team members or engineering team

Business Domain Knowledge:
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.

Communication Skills:
Developing internal and external professional communication skills including presentation of issues using appropriate industry vocabulary

Team Projects:
Responsible for contributing to the advancement of team processes and internal
What You'll Bring
Experience Level 2-5 years post-grad with relevant industry experience or graduate level Degree.

TECH
As a data engineer you will be expected to problem solve some basic coding issues and enhancements with frameworks that are built in Spark Scala, 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 year (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)
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