Professional Services Engineer

3E • Durham, NC

6d

About The Position

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.

Requirements

• Solid programming ability in Python — you can write, debug, and maintain scripts that move and transform data, and you're comfortable picking up a messy point list and a loose spec and producing working code.
• Familiarity with APIs — a working understanding of how to consume and build against REST APIs (authentication, requests/responses, handling errors), with eagerness to deepen this in production.
• Foundational SQL skills — comfortable querying relational databases to extract and validate data.
• A genuine builder's instinct — you reach for an automated, repeatable solution rather than a manual one, and you're excited to create tooling that doesn't exist yet.
• Strong communication skills — able to explain technical details clearly and work well with both teammates and clients.
• Ownership and problem-solving drive — you stay with a hard problem, ask good questions, and push to resolution.
• A bachelor's degree in a technical field (computer science, engineering, data, or similar) or equivalent practical experience.

Nice To Haves

• Exposure to the solar, renewable energy, or broader power/utilities sector — a small amount of domain experience is a real plus, but the right engineer can learn the domain.
• Familiarity with SCADA / historian systems (e.g., Ignition, OSIsoft/AVEVA PI, or similar) and industrial/OT data.
• Understanding of utility-scale solar or BESS operations — inverters, trackers, meters, met stations, and the data they produce.
• Experience with time-series data at scale, including aggregation, interpolation, and backfill considerations.
• Familiarity with APM, EAM, or asset monitoring platforms, or related performance/availability reporting concepts.
• Exposure to energy-market or grid data feeds and the access mechanics that come with them.
• Experience with version control, scripting for automation, and lightweight ETL.

Responsibilities

• 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 DataOps, product, and support teams to surface platform gaps, feed real-world field learnings back into the product, and improve the onboarding playbook over time.

Benefits

• fast-growing international company that promotes a stimulating atmosphere in a highly motivated group of people
• unique opportunity to further develop yourself in a company with an ambitious growth plan, delivering innovative services.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level