Data Engineer

Neara

. Transform raw utility and geospatial data into high-accuracy digital twin models of electricity networks .

Posted 10/5/2026full-timeRemote • LithuaniaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in transforming raw utility and geospatial data into high-accuracy digital twin models, with proficiency in SQL or Python for data manipulation and reporting. Strong communication skills are essential for articulating technical configurations and contributing to knowledge bases.

Highest-signal resume keywords

Data EngineeringSQL ProficiencyPython ProficiencyGIS FamiliarityLiDAR Data Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data TransformationSchema Language MasteryQA/QC ProcessesData ManipulationReport Building

Soft Skills

Excellent Written CommunicationTechnical Articulation

Tools & Technologies

Neara PlatformGIS ToolsCAD Geoprocessing

Industry Keywords

Digital Twin ModelsUtility NetworksGeospatial DataAsset DatabaseDeployment Processes

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Transform raw utility and geospatial data into high-accuracy digital twin models of electricity networks
Contribute to end-to-end deployment of the Neara platform for utility customers worldwide
Ingest and manipulate massive LiDAR, GIS, and asset database datasets using Neara’s schema language and configuration framework
Perform rigorous QA/QC to ensure digital twins accurately reflect real-world physics and customer specifications
Build custom reports and dashboards within the platform for utility engineers
Work closely with Product and Engineering on process and tool improvements
Help speed up future deployments and automate core deployment processes

Requirements

What you’ll need

Proven experience as a Data Engineer, Implementation Engineer, Integration Engineer, Software Engineer, or similar role
Proficiency in at least one major language, such as SQL or Python, and ability to learn a new language
Ability to learn and master a new schema language to manipulate data and build reports
Excellent written communication skills
Experience contributing to internal knowledge bases and external user manuals
Ability to articulate technical configurations clearly to diverse audiences in fluent English
Ability to break down complex data discrepancies and systematically reconfigure models to ensure 100% accuracy
Background in engineering, mathematics, software engineering, computer science, or a related field is preferred
Familiarity with GIS, CAD geoprocessing, or LiDAR data can be beneficial

Benefits

Comp & perks

Competitive salary
Private health insurance
20 days of holiday
"Birthday leave" day
Flexible, team-driven environment
Option to work remotely or hybrid from the Vilnius offices
Office snacks
Expert-level proficiency in an engineering-grade 3D modeling environment
Exposure to Digital Twin technology
Opportunities to influence the product roadmap
Opportunities to automate core deployment processes