Data/PI Systems Engineer at Vermont Electric Power Company
Rutland, VT 05701, USA -
Full Time


Start Date

Immediate

Expiry Date

28 Nov, 25

Salary

94960.32

Posted On

28 Aug, 25

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Power Bi, Computer Science, Data Science, Technology Solutions, Scada, Enterprise Data, Business Process, Communication Skills, Matlab, Fme, Modeling, Sql Server Management Studio, Training, Python, Integration, Critical Infrastructure

Industry

Information Technology/IT

Description

As the nation’s first statewide, “transmission only” company, VELCO manages the safe, reliable, cost-effective transmission of electric power throughout Vermont and as a part of the integrated New England regional network.

WHO YOU ARE

Whether you are early in your career or seeking advancement, VELCO would like to hear from you - the level at which this role is filled will be determined by the qualifications and experience of our final candidate pool.

  • Data Engineer 1: A Bachelor’s degree in Computer Science, Data Science, or related discipline. Equivalent work experience is also considered.
  • Data Engineer 2: A Bachelor’s degree in Computer Science, Data Science, or related discipline. Equivalent work experience is also considered. 4 years of related experience required.
  • Data Engineer 3: A Bachelor’s degree in Computer Science, Data Science, or related discipline. Equivalent work experience is also considered. 7 years of related experience required.

KNOWLEDGE & SKILLS

  • In Depth knowledge of Aveva PI historian and related software
  • Certification or training for two of following: SEEQ, Power BI, MATLAB, FME, Python
  • SQL Enterprise database management using SQL Server Management Studio
  • Data management experience including data migrations, integration, modeling, and administration
  • IOT devices and the communications protocols required to integrate their data
  • Developing data governance standards and practices
  • Knowledge of critical infrastructure (NERC CIP)
  • In-Depth understanding of Supervisory Control and Data Acquistion Systems (SCADA)
  • Vendor selection and contractor management
  • Project management experience including the design of scope, schedule, and budget
  • Excellent verbal/written communication skills and ability to present complex technical information to committees, management, external regulators, and industry associations
  • Ability to integrate business process and technology solutions.
  • ESRI GIS Enterprise Data and structure
Responsibilities

RESPONSIBILITIES

  • Architect and Implement Data Solutions : Participate with the design and implementation of advanced data management solutions, ensuring alignment with the organization’s strategic goals.
  • Data Integration Expertise : Support complex ETL migrations and integrations, ensuring seamless integration of internal and external data sources.
  • Platform Strategy : Define and execute strategies for deploying and managing data platforms, including evaluating and integrating new technologies.
  • Pipeline and API Development : Build and maintain robust, scalable data pipelines and API integrations to support enterprise-wide analytics and data accessibility.
  • Advanced Data Modeling : Collaborate with cross-functional teams to design and improve sophisticated data models for business intelligence and operational needs.
  • Data Governance : Assist with developing frameworks and processes for monitoring data quality, ensuring compliance with data governance policies, and resolving data-related issues.
  • Vendor and Tool Assessment : Support evaluations of vendor tools for data lineage, integration, and analytics capabilities, providing recommendations to stakeholders.
  • Cross-Department Collaboration : Partner with engineering and business units to design and implement the long-term data platform architecture.
  • Innovation and Thought Leadership : Stay ahead of industry trends and emerging technologies to drive continuous improvement in data engineering practices.

Whether you are early in your career or seeking advancement, VELCO would like to hear from you - the level at which this role is filled will be determined by the qualifications and experience of our final candidate pool.

  • Data Engineer 1: A Bachelor’s degree in Computer Science, Data Science, or related discipline. Equivalent work experience is also considered.
  • Data Engineer 2: A Bachelor’s degree in Computer Science, Data Science, or related discipline. Equivalent work experience is also considered. 4 years of related experience required.
  • Data Engineer 3: A Bachelor’s degree in Computer Science, Data Science, or related discipline. Equivalent work experience is also considered. 7 years of related experience required
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