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Graph Engineer

Clevanoo LLCUnited States🇺🇸United StatesPosted 14 Sept 2026

Why This Role Stands Out

This hybrid Graph Engineer role offers a fantastic opportunity to develop cutting-edge graph data solutions using Python and Cognite Data Fusion, impacting critical engineering and manufacturing systems. You'll thrive here if you possess strong data modeling and integration skills, enjoy collaborating with diverse teams, and are eager to contribute to a reputable company's innovative projects. Apply now to grow your expertise in a dynamic and flexible work environment.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
Yesterday

Job Description

Primary Skills: Python, SQL, CDF
 
Description:
Design, develop, and maintain graph data models and digital representations using Cognite Data Fusion (CDF).
Build and manage knowledge graphs, contextualizing data across engineering and manufacturing systems.
Develop and optimize integrations using CDF APIs, SDKs, and RESTful services.
Ingest, transform, and model data from Data products in Bigquery and other data sources.
Create and maintain CDF Data Models, Assets, Time Series, Events, RAW, and Transformations.
Collaborate with business and technical teams to translate requirements into scalable graph solutions.
Ensure data quality, governance, lineage, and consistency across graph and source systems.
Develop automation solutions using Python, SQL, and Cognite SDKs.
Support deployment, monitoring, troubleshooting, and performance optimization of CDF solutions.
Experience with Cognite Data Fusion, APIs, Python, SQL, Data Modeling, ETL/ELT, and Cloud Platforms (Azure/Google Cloud Platform) is required

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