Remote β Full Time
Jobgether is an HR Tech startup fully dedicated to the future of work. We run the largest job search engine built for remote workers and help people find opportunities that match the way they want to live.
Weβre a fully distributed team. What matters here is output, not location. Companies use Jobgether to highlight their remote policies and attract talent worldwide, and we rely heavily on data to deliver accurate, relevant job matches.
We are looking for a Senior Data Engineer to strengthen our Content and Data team, with a focus on data quality.
Your work will directly improve the accuracy of our job listings, classification systems, and matching algorithms.
This is a hands-on role where you will design and improve data pipelines, manage non-relational databases, apply NLP techniques, and support ML workflows using existing models.
Data Enrichment
Build and improve processes to clean, enrich, and structure large datasets.
Increase the quality and depth of the information powering our job search engine.
Support Machine Learning Workflows
Integrate and manage existing ML models used for classification and enrichment.
Ensure that model outputs feed correctly into downstream processes.
NLP and Text Processing
Apply NLP techniques to understand and categorize job descriptions and candidate profiles.
Help refine our tagging, clustering, and matching logic.
Database Management
Maintain and optimize non-relational databases (MongoDB, NoSQL).
Support relational databases when needed.
Data Pipelines
Build and operate ETL/ELT pipelines for ingestion, transformation, and delivery.
Guarantee reliability, scalability, and monitoring across all pipelines.
Cross-team Collaboration
Work with product and engineering teams to understand data requirements.
Document workflows in a clear, maintainable way.
Mandatory
Degree in Computer Science, Engineering, or similar.
5+ years of experience as a Data Engineer.
Strong experience with data enrichment workflows.
Solid Python skills and familiarity with data libraries.
Experience with NLP (practical, not theoretical).
Experience with non-relational databases (eg. MongoDB, NoSQL).
Full fluency in English.
Preferred
Experience with ML frameworks (scikit-learn, TensorFlow, etc.).
Familiarity with AWS or another cloud provider.
Strong analytical and debugging skills.
Ability to communicate clearly with non-technical teams.
Fully remote: work from anywhere.
High-impact role: your work directly shapes the quality of our platform.
Modern stack and room to experiment.
Global team with a clear mission and strong ownership culture.
Fast-moving environment where decisions are quick and contributions are visible.

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