Data Engineer, Product Success

May 6, 2022

Remote, USA

Datavant is a rapidly growing healthcare technology company with a mission to connect the world’s health data. By eliminating data silos in the healthcare industry, we aim to unlock opportunities to accelerate medical research, and help organizations design better ways to facilitate access, affordability, and quality of care leading to better patient outcomes. By joining Datavant today, you’re stepping onto a highly collaborative, fully remote team that is passionate about creating transformative change in healthcare. We look for 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 (no office locations) and we empower Datavanters to shape their working environment in a way that suits their needs -- learn more here!  As a member of the Data Operations team, you’ll own a wide range of customer-related data work, including end-to-end client queries, scripting ad-hoc workflows, and automating processes wherever possible. You’ll also work closely with the Product Success, Engineering, Product, and Data Science teams to improve our product and build tools that will help each department make data driven decisions. Your work will be critical to growing our business and solidifying ourselves as the market leaders in health data connectivity.  You Will: Own all non-productized data workflows, querying Snowflake databases to support customer and internal requests, and supporting design of scalable processes that automate repeated tasks.  Work closely with the Product team to provide feedback on new and existing features, surface opportunities for automation of existing processes, and help guide the product roadmap.  Guide clients in preparing and onboarding their datasets to the Datavant Portal, own end to end fulfillment of client requests, data extracts, and generate aggregate statistics.  Conduct internal research to scope and develop reporting dashboards used by each department to inform data driven decisions. Query customer data to perform novel analytics that are published to blogs, whitepapers, and academic publications/conferences to illustrate the value of our sources in analytics Identify team areas for growth and own process improvement to help shape the future of the Data Ops team  What You Will Bring to the Table:  Background in computer science and/or healthcare Familiarity with health data or desire to learn Experience working with large datasets & data pipelines Extremely strong SQL skills, Python a plus Comfortable with cloud services and building dashboards Comfortable with working from the command line High-organization and able to handle quick turnaround times with multiple stakeholders Driven, entrepreneurial, startup-ready We are committed to building a diverse team of Datavanters who are smart, nice, and get things done where every Datavanter is empowered to bring their authentic self to their work. We are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an equal opportunity employer and welcome applications from people of all backgrounds and experiences. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your responses will be used to help us identify areas of improvement in our recruitment process. We can only see aggregate responses and are unable to view individual responses. In fact, we aren’t even able to see if you’ve responded or not! Responding is your choice and it will not be used in any way in our hiring process.

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