We're building re_data to enable companies to drastically improve the quality of data used to make decisions. Companies lose 3T$ per year because of poor data quality and we believe a lot of this can be avoided if only they had the right tools to deal with data.
Today's data platforms are great, but they are also just the beginning. Current tools enabled us to process terabytes of data in seconds, but solving business problems with them still requires a huge amount of low-level work which can be largely avoided and simplified.
re_data is building on top of very popular platforms like dbt, streamlit and focuses on delivering a great framework for solving data quality problems for everybody using modern data solutions.
We envision a future where data is truly helping companies to make decisions and people don't spend time and money: debugging and fixing data problems, cleaning data, and most importantly making bad business decisions based on it.
We're a pre-seed-stage startup backed by experienced VCs. We're able to offer competitive salaries and meaningful equity.
We're looking for people who are excited about data infrastructure, engineering tools, and difficult problems. Most importantly, we're looking for people who thrive in ambiguity and are excited to create and shape a product from scratch.
See our roles! (below) and if some of it sounds exciting shoot us an email at: [email protected]