Data Engineer (Analytics)
NavaFull Time
Junior (1 to 2 years)
Candidates must possess expert-level proficiency in Python and AWS services. Experience architecting and implementing scalable data ingestion pipelines, handling diverse file types and large-scale datasets is essential. Familiarity with configuration-driven, containerized toolsets and applying software engineering best practices such as test-driven development and modular design is also required.
The Staff Data Engineer will act as the team architect, leading system design reviews, offering recommendations, and conducting peer reviews. They will architect and implement scalable data ingestion pipelines, develop reusable components for data pipelines, and create configuration-driven, containerized toolsets. The role involves collaborating with cross-functional teams to meet data requirements, implementing incremental data ingestion strategies, building monitoring and alerting systems for data ingestion processes, and refactoring existing data ingestion processes to improve scalability.
Optimizes medication management for patients
Arine focuses on improving medication management to enhance patient outcomes and lower healthcare costs, particularly for older adults and those with complex health needs. The platform uses data-driven analytics to provide personalized medication therapy management, ensuring that medications are tailored to each patient's health profile. Arine's clients include healthcare providers and insurance companies, who use the platform to improve care quality and patient satisfaction metrics. The company operates on a subscription model, offering tools for comprehensive medication management and optimization. By ensuring patients receive the correct medications, Arine aims to improve health outcomes and increase the efficiency of healthcare systems.