Amazon AWS (nice to have)
TypeScript (nice to have)
Data (advanced)
Data modeling (advanced)
SQL (master)
At GoodFit , we help our customers unlock their next stages of growth with highly actionable & relevant data. Without a need to speed thousand of hours on manual research, B2B companies use GoodFit's data engine to identify their next opportunities, understand their customers & generate demand.
In following months we plan to expand the engineering team to unlock our growth potential. We deliver data to our customers, that is why it is in the center of our attention.
This means that engineering department is focused on :
Delivering high volumes of data
Constantly improving and validating data quality
Experimenting with new insights we can derive
Growing & maintaining data pipelines
Displaying the data in a professional way
About the role :
As a Data Engineer you will be building our data processing as well as developing tools that helps our customers make the most of the data we supply.
You will :
Be part of a team, working in an agile and remote environment,
Ensure data quality by developing the corresponding tests
Identify performance issues and design solutions
We'd love to hear from you if you have :
Experience in building data driven applications, ETL & data engineering
Knowledge of SQL & No-SQL Databases (PostgreSQL, Redshift, Elasitcsearch etc.)
For example analytical and windowing functions are must have
Bonus : DBT
Why you'll love working at GoodFit :
We're a fully remote team, valuing long stretches of uninterrupted work over constant connectivity
As we focus on the most impactful work, you'll work on various parts of our platform & gain experience with wide range of technologies (no working on same feature for months on end)
We embrace innovation and new technologies, you'll get to introduce the newest approaches & solutions
1 : 1 meetings to help you grow
Hiring process :
Around 15 minute intro call
Tech interview with a case study 1-2 hours
Meeting with co-founders 30-60min 
