Senior Data Engineer (Python) (Remote from Latam)

Jobgether, a pioneering HR Tech startup, is seeking a Senior Data Engineer to join their Content and Data team. As a fully remote company with a team of 30 professionals distributed across the globe, Jobgether operates the largest job search engine dedicated to remote workers. The role involves developing and scaling their matching algorithm using AI, working with a platform that aggregates over 10,000 new job listings daily.

The ideal candidate will be responsible for designing, implementing, and maintaining robust data architecture solutions, managing data flows, and optimizing existing systems. This position requires expertise in both relational and non-relational database architectures, with a focus on building scalable solutions that support various data processes, including scrapers, machine learning workflows, and data pipelines.

The role offers an opportunity to work with cutting-edge technologies while contributing to the future of remote work. You'll be part of a diverse, global team spanning multiple countries and time zones, embodying the company's belief that work should be conducted on your terms. Jobgether values outcomes over location, making this an ideal position for a senior data professional looking to make an impact in the remote work revolution.

Key responsibilities include developing scalable data architectures, implementing solutions focusing on performance and reliability, optimizing data flows, and managing end-to-end data pipelines. The position requires a minimum of 5 years of experience in data engineering, strong Python skills, and expertise in various database technologies and cloud platforms.