Data Engineer Python (Data Enrichment - NPL)

Jobgether is revolutionizing the HR Tech space as a pioneering startup focused exclusively on remote work opportunities. As the largest job search engine for remote workers, we're transforming how people find flexible work arrangements that match their lifestyle preferences.

The Senior Data Engineer role focuses on data enrichment within our Content and Data team. You'll be instrumental in developing and enhancing data processes to improve job listing quality and relevance. This position requires expertise in machine learning and natural language processing to better match job seekers with opportunities.

Key technical requirements include proficiency in Python, experience with non-relational databases like MongoDB, and strong NLP capabilities. You'll need at least 3 years of relevant experience and fluency in both English and Spanish. The role involves designing data enrichment strategies, implementing ML algorithms, and managing data pipelines.

What makes this opportunity unique is the chance to work in a truly remote-first environment with a global team. You'll be part of shaping the future of work while having the flexibility to work from anywhere. The role offers significant professional growth opportunities, working with cutting-edge technologies in an innovative environment.

Join us if you're passionate about using data engineering to transform how people find remote work opportunities. You'll be part of a forward-thinking team that values outcomes over location, contributing to a platform that's making flexible work accessible to everyone.