Culmen International

Data Engineer

Culmen International

full-time

Posted on:

Location: 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

CloudDockerGoogle Cloud PlatformKubernetesPythonSQL

About the role

  • Culmen International is seeking a Data Engineer to support Culmen's Premise Data Platform.
  • The Premise Data Platform is a global collection capability that offers end to end mobile based data including quality control and insight delivery, powered by AI.
  • Work includes building data pipelines, creating data quality checks, devising data marts, and developing back-end systems/applications to build a robust data platform with opportunity to integrate LLMs into data pipelines.
  • Collaborate with data scientists, analysts, operations, product managers, sales and customer success to define data product direction.
  • All work would be done on GCP - GCP knowledge is preferred.

Requirements

  • BS/MS in a quantitative field such as Engineering, Computer Science, etc. or equivalent work experience & analytical skills.
  • 3 years of full-time experience in a data-oriented role, with at least 2 years in data engineering.
  • Advanced experience in Python.
  • Experience in containers, docker, Kubernetes.
  • Experience working with LLMs, Computer Vision and Machine Learning toolsets.
  • Strong SQL skills and database management experience.
  • Strong GIS experience or related BS/MS background.
  • Advanced experience with building high efficiency data models with GIS related data.
  • Experience with Google Cloud Platform.
  • Experience collaborating with diverse teams, customers, and stakeholders.
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