Professional Services Engineer

Professional Services Engineer

3E is looking for a new professional services engineer to help drive the end-to-end technical delivery of large-scale asset onboarding onto our asset performance management (APM) SaaS platform. This is a hands-on, build-oriented role at the intersection of software engineering, data integration, and renewable energy operations.

Over time you'll grow into the technical lead who turns a signed contract into a live, fully integrated client deployment, standing up the integrations that feed our platform, and building the custom tooling that makes onboarding repeatable at scale.

This role suits someone who's energized by hard integration problems, eager to take ownership and grow toward leading deployments end to end, and comfortable both talking through a problem with a client and writing the Python that solves it.

What you'll do:

• Contribute to end-to-end technical delivery of asset onboarding projects: supporting data discovery, source-system assessment, integration, validation, and go-live for portfolios spanning many sites and large volumes of data points.
• Build custom solutions where off-the-shelf configuration falls short: data collectors, transformation pipelines, mapping tools, and automation that bridge client source systems and our platform.
• Write Python and API scripts to extract, transform, and load operational data - bulk provisioning tools, tag-mapping utilities, backfill and reconciliation scripts, and integrations against REST APIs and platform endpoints.
• Integrate with field data sources - SCADA historians, OT/IoT data platforms, SFTP feeds, and third-party APIs - learning to diagnose pipeline failures and resolve data-quality issues along the way.
• Map and model assets at scale, translating raw point lists and naming conventions into the platform's data model for inverters, trackers, meters, weather stations, transformers, and storage systems.
• Support the technical relationship with clients and vendors - helping scope work, set expectations, and coordinate with client engineering teams and external integration partners.
• Document repeatable processes — onboarding checklists, integration runbooks, and how-to guides - so that delivery scales beyond any single engineer.
• Partner with internal Data Ops, product, and support teams to surface platform gaps, feed real-world field learnings back into the product, and improve the onboarding playbook over time.