Data Engineer

Overview

Required skills & experience 1. BS in Computer Science or Software Engineering, Master’s preferred 2. 3-5 years of Data Engineering or Backend Software Engineering experience 3. Experience with object-oriented design, coding and testing patterns, solid understanding of how algorithms work and have experience building high performance algorithms 4. Experience with Python and other scripting languages like shell scripting 5. Expert in various flavors of SQL/NOSQL, T-SQL experience preferred 6. Experience with data modeling, data warehousing, ETL/ELT development, building and optimizing ‘big data’ pipelines 7. Experience with big data tech stack, such as Hadoop, Spark, Kafka or other frameworks 8. Experience with C#, data factory and Azure eco system preferred 9. Experience with multi cloud systems a plus 10. DevOps experience a plus What you need to know 1. Architecting highly scalable distributed systems, using different open source tools 2. Use many different scripting languages, understanding the nuances and benefits to each, to combine systems 3. Manage organization’s big data infrastructure, and can obtain results from vast amounts of data quickly 4. Collaborate with BI developers, analysts and data scientists & build the right solutions for them 5. In-office position, US Citizen or Green Card holder required

Benefits

Company

We provide resources and services, tailored exclusively to the needs of physicians and physicians groups, to help evaluate and maximize physician performance in alternative payment structures, without sacrificing existing professional fee-for-service revenue. We provide the platform that enables physicians to take advantage of the substantial opportunities to create and share in immediate savings through bundled payments.