Grid Analytics Engineer

Job Overview

APTIM, a leading engineering and resilience consulting firm with a global presence and a rapidly expanding Energy Infrastructure and Climate Resilience practice, is seeking a Grid Analytics Engineer to support our growing grid modernization and energy-resilience portfolio.

This position plays a key role in developing data-driven solutions for distributed energy systems, battery integration, and advanced grid modeling that improve the resilience and performance of critical infrastructure.

The ideal candidate brings 2-5 years of experience in power systems, data analytics, or energy technology, and demonstrates strong problem-solving skills and curiosity about emerging grid technologies. This is an excellent opportunity to collaborate with multidisciplinary experts on cutting-edge resilience and decarbonization projects while building advanced skills in energy modeling, optimization, and risk analytics.

• Support the design and analysis of distributed energy, storage, and grid-modernization projects for utilities, data centers, and government clients.
• Develop and run power-system or distribution-network models using one or more industry tools (e.g., OpenDSS, GridLAB-D, MATLAB, or Python-based frameworks).
• Conduct battery dispatch optimization, hosting‑capacity, and interconnection analyses to evaluate system performance and grid impacts.
• Analyze time‑series, sensor, or SCADA data to identify reliability trends and inform system improvements.
• Assist in developing dashboards, visualizations, and analytical tools to communicate results and support client decision‑making.
• Collaborate with engineers, data scientists, and planners to integrate resilience analytics and digital‑twin modeling into project workflows.
• Support proposal development, technical writing, and client presentations for energy and resilience projects.
• Contribute to internal research and tool development to enhance APTIM's analytics and modeling capabilities.

• Bachelor's or Master's degree in Electrical, Mechanical, Energy Systems, Computer, or Data Engineering, or related field.
• 2‑5 years of experience in power‑systems engineering, distributed energy integration, or data analytics.
• Proficiency in at least one technical computing language (Python, MATLAB, R, or similar) for data analysis or modeling.
• Foundational understanding of distribution systems, energy‑storage operation, or renewable integration.
• Strong analytical, organizational, and technical writing skills.
• Ability to work independently and collaboratively in hybrid teams.

• Familiarity with optimization or machine‑learning applications for energy forecasting and asset management.
• Experience with grid‑modeling or simulation tools (e.g., OpenDSS, GridLAB‑D, or DIgSILENT).
• Exposure to DER integration studies, microgrid design, or interconnection evaluations.
• Experience developing data dashboards or visualization tools (Power BI, Tableau, Plotly).
• Interest in climate resilience, decarbonization, and emerging energy technologies.

APTIM is committed to accelerating the transition toward a clean and efficient energy economy, building a sustainable future for our communities and natural world, and creating a more inclusive and equitable environment that celebrates the diversity of our communities. We specialize in environmental, resilience, and sustainability and energy solutions, as well as technical and data solutions, program management, and critical infrastructure.

For every challenge our clients face, there is an opportunity for APTIM to innovate a fit‑for‑purpose solution that will raise your organization or community to a new standard of excellence.

What you can expect from APTIM:

• Work that is worthy of your time and talent
• Respect and flexibility to live a full life at work and at home
• Dogged determination to deliver for our clients and communities
• A voice in making our company better
• Investment into your personal and professional development

As of the date of this posting, a good faith estimate of the current pay range for this position is $48.00 - $52.00 per hour. Compensation depends on several factors…