Power Systems Data Engineer – Transmission Analytics

Dominion Energy; Glen Allen (VA); Hybrid; USD 100,000 - 140,000; Full time

Job summary

Dominion Energy seeks an Engineer/Sr. Engineer/Staff Engineer to advance Electric Transmission Operations Analytics, focusing on data-driven insights from time-series data and PI technologies.

The role emphasizes front-end development, cross-functional collaboration, and ongoing learning to bolster grid monitoring and analytics capabilities. The position supports a hybrid work model with in-office and telework days, and requires 2–5+ years (Engineer) to 10+ years (Staff) of relevant engineering

Qualifications

• Front-end development: translate requirements into designs/mockups and user-facing components.
• Time-series data modelling and asset data analytics using PI tech or SDKs.
• Identify eligible use cases by collaborating across org for data-driven decisions.
• Ensure PI system resources uptime and nominal operations.
• Continuous learning and growth in new tech and company verticals.

Responsibilities

• Translate requirements into designs and mockups for user-facing components.
• Model time-series and asset data to create enhanced data services.
• Build relationships across teams to apply time-series data for analysis and decision making.
• Maintain PI system uptime and ensure current/future state operations are reliable.
• Pursue ongoing learning of technologies and domain knowledge.

Skills

Front-end development

Time series data engineering

PI Data concepts

Python

C#

R Studio

Excel

SQL

ArcGIS

Education

4-year Engineering degree (ABET Accredited)

Tools

PI Data Archive

PI SDK

PI AF SDK

PI system administrator

Visual Studio .NET

Job description

Dominion Energy seeks an Engineer/Sr. Engineer/Staff Engineer to advance Electric Transmission Operations Analytics, focusing on data-driven insights from time-series data and PI technologies.

The role emphasizes front-end development, cross-functional collaboration, and ongoing learning to bolster grid monitoring and analytics capabilities. The position supports a hybrid work model with in-office and telework days, and requires 2–5+ years (Engineer) to 10+ years (Staff) of relevant engineering