Senior Data Engineer

About Fabric

Fabric is a health tech company that powers healthcare providers to move faster, work smarter, and deliver better care through its care enablement system. The system offers three solutions: In-Person Care Suite, Virtual Care Suite, and Engagement Suite. Leveraging conversational AI and intelligent adaptive interviews, Fabric unifies virtual and in-person care across intake, triage, routing, and treatment while automating workflows for staff. Built by a team of physicians and clinical informaticists, Fabric protocols uphold excellence in care quality while offering omnichannel access for patients. The results enable clinicians to work 2-10 times faster (dependent on setting), decrease call center volume by 15%, and increase utilization of unfilled visit blocks. Some of Fabric's customers include Luminis Health, OSF HealthCare, MUSC Health, and Intermountain. Fabric is backed by Thrive Capital, GV (Google Ventures), Salesforce Ventures, Vast Ventures, BoxGroup, and Atento Capital. 

Role Overview

The Senior Data Engineer will work closely with multiple departments throughout the organization helping to support data extraction and transformation needs.  

Your responsibilities

• Understand, extract, validate, correct, and define data from multiple internal and external sources.
• Collaborate with engineering by prioritizing and defining requirements for future development and testing data elements.
• Develop and refine sustainable processes that help improve efficiency.
• Other duties as assigned.

Who you are

• You have the ability to accurately identify, document, and recommend solutions to business problems.
• You possess the ability to communicate clearly and effectively, both verbally and in writing, to both technical and non-technical audiences.
• You have experience with SQL and ability to create queries to extract data.
• You have experience extracting data from an enterprise data warehouse and core operating systems.
• You have experience with DBT and Fivetran (or any other similar ETL tools)
• You have experience working with healthcare data
• Any additional experience with the following is a plus: Amazon Redshift, Amazon Athena, Python (Pandas), PostgreSQL, Ruby on Rails
  

Note: We have technology groups centered in Minneapolis, Austin, and NYC, but we are fully remote.