Vegetation Management Database Developer/Analyst

Job Type: Contract
Work Flexibility: Hybrid
Location: Sacramento CA
Required Skills: Data Governance & Performance Tuning Data Modeling & Data Warehousing ETL/Data Integration GIS/ESRI & SAP/OMS Integration Python Analytics & Forecasting SQL Server Database Design & Architecture

Role: Vegetation Management Database Developer/Analyst
Location: Sacramento, CA
Duration: 4 Months (July 15 – November 15, 2026)
Pay Rate: $65 to $70
 
 
Summary: The client is seeking a Vegetation Management Database Developer/Analyst to design, build, and implement a centralized Vegetation Management Database (VMD) on Microsoft SQL Server. The solution will integrate data from multiple enterprise systems, support reporting, analytics, forecasting, and provide a secure, scalable data platform for vegetation management operations.

Key Responsibilities:

  • Lead discovery sessions, data assessments, and requirement gathering.
  • Design logical and physical SQL Server data models and architecture.
  • Build ETL processes and integrate data from GIS/ESRI, SAP, OMS, spreadsheets, and other enterprise systems.
  • Develop dashboards, KPI scorecards, reporting, and Python-based forecasting models.
  • Implement data governance, role-based security, audit trails, and validation controls.
  • Support testing, deployment, documentation, training, and knowledge transfer.
  • Coordinate with business stakeholders, GIS teams, and SMUD IT throughout the project lifecycle.

Required Qualifications:

  • 10+ years of experience in Data Architecture, Data Engineering, or Enterprise Data Management.
  • Strong expertise in Microsoft SQL Server, data modeling, database design, and performance tuning.
  • Experience designing enterprise data platforms and ETL/data integration solutions.
  • Experience integrating data with GIS/ESRI, SAP, OMS, and other enterprise applications.
  • Experience developing dashboards, analytics, and forecasting solutions using Python.
  • Strong understanding of data governance, security, and documentation.
  • Excellent communication and stakeholder management skills.

Required Skills

  • SQL Server Database Design & Architecture
  • Data Modeling & Data Warehousing
  • ETL/Data Integration
  • GIS/ESRI, SAP & OMS Integration
  • Python Analytics & Forecasting
  • Dashboard & KPI Reporting
  • Data Governance & Security
  • Performance Tuning
  • Technical Documentation
  • Stakeholder & Project Management

Preferred Qualifications

  • Utility, energy, infrastructure, or asset management industry experience.
  • Experience delivering enterprise data modernization initiatives.
  • Familiarity with low-code/no-code data maintenance solutions.

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