Dropbase is a data platform that empowers teams to streamline and automate repetitive data cleaning workflows collaboratively. With Dropbase, data teams can turn CSVs, Excel, and online data sources such as Salesforce and Shopify into analytics databases instantly.
At Dropbase, we are changing the way people move, process, and manage data across organizations and within teams. The world's data is trapped offline through CSV, Excel, and incompatible data formats. Our mission is to make this data more useful by bringing it online
Dropbase is backed by Y Combinator.
As an early engineering recruit, you'll get a lot of autonomy, responsibility, and ownership. You will get challenging problems to solve with lots of context and guidance. We're an early stage startup and you'll be working directly with the founders, helping define vision, system architecture, and product. Join us to be part of the core engineering team we're building.
You take initiative and prioritize the work that adds the most value to the company. You work with urgency, have great focus, take ownership, and get things done. You are constantly learning, always improving.
You strive for excellence. You care deeply about building great products, our customers, and our company. You appreciate giving and receiving critical feedback because it helps teams grow. You communicate with clarity and high insight density. You constantly bring up new ideas and speak up when you believe things can be improved.
As a Data Engineer you will work with the founders, alongside backend engineers and frontend engineers. You will be responsible for the development of data pipelines (ETL, ELT), automation of data ingestion (from flat files into databases) and data transformation using python and SQL.
Besides working on the codebase, you will play a key role in product direction and setting up the right processes to help the product scale.