Arcadia - Lead Data Engineer
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Requirements
• 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. Your outcomes are critical to driving the long-term partnership between Arcadia and our customers. • 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 • 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 • Able to apply critical thinking and problem solving skills to propose solutions for complex problems within day to day work • Develop a deep understanding of our systems so you can work on projects to improve them • Developing ability to understand technical issues and communicate potential solutions to team members or engineering team • 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. • Developing internal and external professional communication skills including presentation of issues using appropriate industry vocabulary • Responsible for contributing to the advancement of team processes and internal • Senior Experience Level of 5-8 years post-grad with relevant industry experience or graduate level degree. • As a Lead 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: 5+ years (Preferred) • Python: 3+ years (Preferred) • Spark: 4+ years (Preferred) • Database Architecture: 2-3 years (Preferred) • Cloud Architecture: 1-2 years (Preferred) • As a Lead 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) • AWS (S3 and EC2): 2-3 years • Nifi: 3- 5 years • Kafka: 3-5 years • Java : 3-5 years • Healthcare Analytics: 3-5 years • 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
Responsibilities
• 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) • 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 • 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 • 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. Your outcomes are critical to driving the long-term partnership between Arcadia and our customers. • 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 • The expectations of the day to day of an engineer are as follows: • 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 • Able to apply critical thinking and problem solving skills to propose solutions for complex problems within day to day work • Technical Domain Knowledge: • Develop a deep understanding of our systems so you can work on projects to improve them • 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.
Benefits
• 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
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