$ cat jobs/data-platform-engineer-clinician-nexus-fe19b7c0858d.json
Data Platform Engineer
ABOUT US AND ABOUT YOU Clinician Nexus enables health care organizations to build thriving clinician teams with industry-leading technology products, workforce and compensation analytics, and automated workflow solutions. Backed by extensive technical expertise and industry-leading data, we deliver innovative approaches to help clients to plan, educate, and engage their clinical workforce at every stage of the lifecycle. We are committed to providing our clients with outstanding guidance and support as they focus on shaping the future of health care. As a Data Platform Engineer your core responsibility revolves around crafting, advancing, and maintaining the infrastructure and systems essential for managing and optimizing data as an enterprise asset. In this capacity, you will create and maintain tooling, abstractions, and services that allow enterprise users to meticulously oversee the entire lifecycle of their data product, encompassing the efficient collection, storage, processing, and retrieval of data, all while upholding stringent standards for security, governance, and data quality. You will possess extensive expertise in working with diverse data storage technologies, including databases, data lakes, and data warehouses, as well as streaming architectures and service layer technologies. You are proficient in programming languages such as Python, Scala, Java, and SQL. Your skillset extends to encompass data integration, ETL (Extract, Transform, Load) processes, ELT (Extract, Load, Transform), Restful/GRPC services, Streaming, and the construction and abstraction of robust data pipelines. The overarching objective as a Data Platform Engineer is to enable enterprise product teams to deliver quality data products that drive business insight and value to our customers. This includes building tooling and services that connects data sources to data consumers and ensures the accessibility, structural integrity, and reliability of data to fulfill analytical and busin
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