DERMS Modeler

Apt; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Apt in Atlanta, GA, is seeking a DERMS Modeler to design, build, and maintain a network operations model for a Distributed Energy Resource Management System.

You will transform diverse data sources (GIS, substation data, asset management, CIM/XML/JSON) into integrated models and support ongoing operations with ADMS/DERMS platforms.

Qualifications

• Experience with DERMS and/or ADMS platforms.
• Ability to develop network topology models for power systems.
• Experience transforming and integrating data from multiple sources (XML/JSON/CIM).
• Strong data engineering/modeling capabilities with structured data formats.

Responsibilities

• Lead the model build process for DERMS by integrating multiple data sources into a network operations model.
• Develop and maintain interfaces and data pipelines connecting upstream data sources to the DERMS platform.
• Build and maintain logical network models (grid topology) and full impedance network models for power flow analysis.
• Ensure integration with existing systems (ADMS, SCADA, GIS) and provide ongoing model support.

Skills

Power system modeling

ADMS/DERMS

Data engineering

XML

JSON

CIM

Grid operations

Education

Electrical Engineering

Computer Science

Information Systems

Tools

Databricks

Oracle NMS

Job description

We are seeking a DERMS Modeler to support the design, build, and ongoing maintenance of a network operations model for a Distributed Energy Resource Management System (DERMS). This role will play a critical part in enabling advanced grid capabilities such as forecasting, optimization, and DER integration by transforming disparate data sources into a unified, connected network model.

The ideal candidate will bring experience in power system modeling, data transformation, and utility operations systems, and will contribute to both initial DERMS implementation and long-term model support.

Key Responsibilities

Lead the model build process for DERMS by integrating multiple data sources into a network operations model, including:

• GIS data
• Substation internals
• Asset management systems
• Customer programs and interconnection agreements
• Convert and normalize structured data formats (CIM, XML, JSON) into usable models for DERMS and ADMS environments
• Develop and maintain interfaces and data pipelines connecting upstream data sources to the DERMS platform
• Build and maintain:
• Logical network models (hierarchical grid topology)
• Full impedance network models for power flow and operational analysis
• Workflow and process design
• Integration with ADMS and DERMS Model Manager platforms
• Ensure integration and operational continuity with existing systems leveraging the network operations model (e.g., ADMS, SCADA, analytics platforms)
• Provide ongoing modeling support post-implementation, including model updates, validation, and performance tuning

Required Qualifications

• Experience working with DERMS and/or ADMS platforms, ideally with:
• Developing network topology models
• Creating impedance-based models for power flow analysis
• Strong data engineering/modeling capability with:
• Structured data formats (XML, JSON, CIM)
• Proficiency with Databricks or similar data platforms
• Understanding of electric utility grid operations and distribution systems

Preferred / Nice-to-Have Skills

Experience modeling in:

• GIS systems
• Oracle NMS or similar network modeling tools
• Familiarity with:
• Distributed Energy Resources (DER) programs or platforms (e.g., PowerClerk, renewables integration)
• SCADA systems or communications modeling
• Utility coordination processes (e.g., DCC - Distribution Control Center)
• Experience with:

Education & Experience

• Engineering (Electrical preferred)
• Computer Science
• Information Systems
• or related field
• 3+ years of experience in:
• Power system modeling, ADMS/DERMS, or related utility systems

What Success Looks Like

Successful delivery of a fully integrated DERMS network model enabling forecasting and optimization

• Accurate and scalable integration of multiple enterprise data sources
• Seamless interoperability with existing utility platforms (ADMS, SCADA, GIS)
• Consistent model performance and reliability post-implementation