Solutions Architect, Data Processing
NVIDIAFull Time
Junior (1 to 2 years)
Candidates should possess strong SQL database knowledge and design skills, along with proficiency in multiple programming languages. Experience with data pipeline connectors, solution architecture development, and working with client data platforms is expected. Familiarity with healthcare data, agile methodologies, and Jira is also beneficial.
The Data Engineer will drive the development of solution architecture and data pipeline connectors to automate data flow between client platforms and Arcadia's analytic health solution platform. Responsibilities include designing and documenting connectors, building and unit testing delivery connectors, and supporting peer code reviews and sprint planning. The role involves contributing to multiple implementations simultaneously, delivering work on expected timelines, identifying project risks, and incorporating lessons learned into future projects.
Data-driven healthcare solutions and analytics
Arcadia focuses on improving healthcare outcomes through data-driven solutions in the healthcare sector, particularly in population health management. The company analyzes and manages the health outcomes of groups of people, serving clients such as healthcare providers, insurance companies, and government agencies. Its main product is a data platform that uses big data technology to process and store large volumes of healthcare data, allowing organizations to access and analyze this information effectively. This leads to better decision-making and enhanced patient care. Unlike many competitors, Arcadia offers a comprehensive suite of tools and consulting services that help clients optimize their use of the platform, particularly in areas like STARS HEDIS and risk adjustment accuracy. The goal of Arcadia is to improve efficiency in healthcare delivery, reduce disparities, and achieve better health outcomes for populations.