Senior Data Engineer

Datavant is a data logistics company for healthcare whose products and solutions enable organizations to move and connect data securely. We are a data logistics company for healthcare whose products and solutions enable organizations to move and connect data securely. Datavant has a network of networks consisting of thousands of organizations, more than 70,000 hospitals and clinics, 70% of the 100 largest health systems, and an ecosystem of 500+ real-world data partners.

By joining Datavant today, you’re stepping onto a highly collaborative, remote-first team that is passionate about creating transformative change in healthcare. We hire for three traits: we want people who are smart, nice, and get things done. We invest in our people and believe in hiring for high-potential and humble individuals who can rapidly grow their responsibilities as the company scales. Datavant is a distributed, remote-first team, and we empower Datavanters to shape their working environment in a way that suits their needs.

The Site Connect delivery data engineers are masters of data ETL. We create and maintain integrations for over 70+ EHR’s powering every patient use case you can think of. Our team is full of go getters that work in a matrixed 100% remote environment on agile teams that support customers from go live to support for the live of the integration.   

You will:

• Create and maintain ELT/ETL processes for existing and new systems.
• Collaborate with development and business teams to understand requirements and define source system data flows
• Develop and maintain ETL/ETL specifications for data integration development
• Define and deliver consistent data modeling and data architecture standards, methodologies, guidelines and techniques
• Document, implement and maintain the data pipeline architecture and related business processes
• Serve as a source of knowledge of industry practices and processes.
• Participate in the development of enterprise standards and guidelines for data model quality and accuracy
• Audit project level data model quality deliverables to ensure that practices and standards are met
• Analyze information and data requirements and understand effects of data inconsistencies
• Identify inefficiencies in current architecture and processes and communicate solutions in a manner that gets support from the teams involved
• Perform cost and sizing estimates for projects
• Collaborate with the project coordinator and the rest of the agile team to identify epics, stories and estimate effort
• Create and maintain data dictionary documents, table …