Remote Data Engineer — Pipelines & Systems
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Summary
Designs and builds scalable data pipelines and systems using Python, Docker/Kubernetes, and SQL/NoSQL databases to collect, transform, and orchestrate large datasets.
PanData is seeking a Data Engineer to design, implement, and optimize scalable information systems and data pipelines. You will work with Python and modern data technologies to collect, transform, and orchestrate large datasets within dynamic projects.
Required 3+ years in data design, strong English communication, and experience with Docker/Podman/Kubernetes, SQL/NoSQL databases, and data-science libraries. Remote-friendly role with a focus on scalable data solutions in a PanData environment.
