Senior Data Modeler (GE AEMS | GE MMS | Utilities Domain)

Overview

Remote
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

Billing
Collaboration
Data Analysis
Data Manipulation
Data Mapping
Data Modeling
Data Quality
Data Structure
Documentation
EMS
Element Management System
Energy
Extract
Transform
Load
High Availability
Information Systems
MMS
Mergers and Acquisitions
Meta-data Management
RDBMS
Real-time
SCADA
Workflow

Job Details

Senior Data Modeler (GE AEMS | GE MMS | Utilities Domain)

Location: Cambridge, MA 02141 (REMOTE)
Duration: 6 Months
Request ID: 116094-1


Job Description

We are seeking a highly experienced Senior Data Modeler with strong expertise in GE AEMS, GE MMS, and enterprise data modeling within the electric utilities domain. The ideal candidate will design, develop, and optimize data models that support mission-critical utility applications such as SCADA, billing, and customer information systems. This role requires hands-on experience with data modeling, ETL workflows, data manipulation, and high-availability operational environments.


Key Responsibilities

  • Design and maintain enterprise-level data models supporting GE AEMS and GE MMS platforms.

  • Develop scalable data structures for mission-critical utility systems including SCADA, billing, CIS, and EMS.

  • Collaborate with engineering and operations teams to define data requirements and architecture.

  • Build, refine, and optimize logical, physical, and conceptual data models.

  • Support ETL processes, data mapping, data transformations, and integration workflows.

  • Analyze large datasets to ensure data quality, consistency, and accuracy.

  • Troubleshoot data issues and improve model performance and maintainability.

  • Produce documentation, metadata, and data dictionaries.


Must Have Skills

  • GE AEMS (mandatory)

  • GE MMS (mandatory)

  • Strong Data Modeling (conceptual, logical, physical)

  • Utilities / Energy domain experience (SCADA, EMS, billing, CIS)

  • Data analysis and ETL experience

  • Experience working in mission-critical operational systems


Nice to Have Skills

  • SQL and RDBMS expertise

  • Experience with data pipelines

  • Knowledge of real-time utility applications

  • SCADA or EMS architecture understanding


Experience Required

  • 5 to 15 years total experience

  • At least 10 years preferred in data modeling for utilities or energy systems

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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