Data Engineer

June 13

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Arcadia

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Healthcare Analytics • Value-based Care • Population Health Management • Care Management • Predictive Analytics

201 - 500

💰 $29.5M Venture Round on 2020-01

Description

• 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 • 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 • 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

Requirements

• Experience Level 2-5 years post-grad with relevant industry experience or graduate level Degree • 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) • 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)

Benefits

• 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