Demyst unlocks innovation with the power of data. Our platform helps enterprises solve strategic use cases, including lending, risk, digital origination, and automation, by harnessing the power and agility of the external data universe. We are known for harnessing rich, relevant, integrated, linked data to deliver real value in production. We operate as a distributed team across the globe and serve over 50 clients as a strategic external data partner. Frictionless external data adoption within digitally advancing enterprises is unlocking market growth and allowing solutions to finally get out of the lab. If you like actually to get things done and deployed, Demyst is your new home.
As a Data Engineer at Demyst, you will be powering the latest technology at leading financial institutions around the world. You may be solving a fintech's fraud problems or crafting a Fortune 500 insurer's marketing campaigns. Using innovative data sets and Demyst's software architecture, you will use your expertise and creativity to build best-in-class solutions. You will see projects through from start to finish, assisting in every stage from testing to integration.
To meet these challenges, you will access data using Demyst's proprietary Python library via our JupyterHub servers, and utilize our cloud infrastructure built on AWS, including Athena, Lambda, EMR, EC2, S3, and other products. For analysis, you will leverage AutoML tools, and for enterprise data delivery, you'll work with our clients' data warehouse solutions like Snowflake, DataBricks, and more.
Demyst is a remote-first company. The candidate must be based in the United States.