Staff Software Engineer

Job Description

JD Staff Software Data Engineer R1 RCM Inc. is a leading provider of technology-enabled revenue cycle management services which transform and solve challenges across health systems, hospitals and physician practices. Headquartered in Chicago, R1 is a publicly-traded organization with employees throughout the US and multiple INDIA locations. Our mission is to be the one trusted partner to manage revenue, so providers and patients can focus on what matters most. Our priority is to always do what is best for our clients, patients and each other. With our proven and scalable operating model, we complement a healthcare organizations infrastructure, quickly driving sustainable improvements to net patient revenue and cash flows while reducing operating costs and enhancing the patient experience. Description: We are seeking a Staff Data Engineer with 7-10 year of experience to join our Data Platform team. This role will report to the Manager of data engineering and be involved in the planning, design, and implementation of our centralized data warehouse solution for ETL, reporting and analytics across all applications within the company. Qualifications: Deep knowledge and experience working with SSIS, T-SQL Experienced in Azure data factory, Azure Data bricks & Azure Data Lake. Experience working with any language like Python Experience working with SQL and NoSQL database systems such as MongoDB Experience in distributed system architecture design Experience with cloud environments (Azure Preferred) Experience with acquiring and preparing data from primary and secondary disparate data sources (real-time preferred) Experience working on large scale data product implementation, responsible for technical delivery, mentoring and managing peer engineers Experience working with PowerBI preferred. Experience working with agile methodology preferred. Healthcare industry experience preferred Responsibilities: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions Work with other team with deep experience in ETL process, distributed microservices, and data science domains to understand how to centralize their data Share your passion for staying experimenting with and learning new technologies. Perform thorough data analysis, uncover opportunities, and address business problems.