Data Engineer
Job Summary
Transforming raw utility and geospatial data into high accuracy digital twin models of electricity networks, the full-time remote Data Engineer will contribute to the end-to-end deployment of the Neara platform for utility customers worldwide.
Key responsibilities:
- Ingest and manipulate massive datasets (LiDAR, GIS, and asset databases) using Neara's schema language and configuration framework
- Perform rigorous QA/QC to ensure the digital twin accurately reflects real-world physics and customer specifications
- Build custom reports and dashboards within the platform to drive actionable insights for utility engineers
Required qualifications:
- Proven experience as a Data Engineer, Implementation Engineer, Integration Engineer, Software Engineer, or similar role
- Proficiency in at least one major programming language (such as SQL or Python) and ability to learn new languages
- A background in engineering, mathematics, software engineering, computer science, or a related field is preferred
- Familiarity with GIS, CAD geoprocessing, or LiDAR data is beneficial
- Ability to break down complex data discrepancies and systematically reconfigure models for accuracy
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