Technology System / Platform Engineer (Databricks)

Expleo • Denver, CO

2d • Hybrid

About The Position

Are you a Databricks-focused Platform Engineer who enjoys building reliable, scalable data foundations that power advanced analytics and machine learning? Trissential is hiring a Technology System / Platform Engineer to join our client’s team supporting a granular electrical load forecasting platform a strategic initiative shaping how energy demand is forecasted at the feeder and circuit level. This is a hands-on, high-impact role where your work directly supports data scientists, analysts, and business stakeholders across a complex enterprise environment.
What’s in It for You?
High-Impact Work – Support a mission-critical forecasting platform used across the energy organization
Databricks-Centric Engineering – Design and maintain pipelines in a modern analytics platform
Cross-Functional Exposure – Partner with data science, IT, analytics, and non-technical teams
Stable Industry – Work within the energy and utilities sector on long-term internal tooling
Flexible Hybrid Model – Typically onsite just one day per week in Colorado

Requirements

• Strong, hands-on experience with Databricks (core requirement)
• Experience building and supporting ETL pipelines and workflows
• Proficiency in Python and SQL
• Experience integrating data from multiple teams or business domains
• Solid understanding of enterprise security, scalability, and performance considerations
• Clear and effective communication skills, including working with non-technical stakeholders

Nice To Haves

• Databricks certification
• Energy, utilities, or power industry experience
• Experience supporting non-standard or legacy data ingestion
• Familiarity with enterprise integration platforms, APIs, or middleware
• Exposure to SAP IS-U, data conversion, or large-scale data migration efforts

Responsibilities

• Design, build, and maintain ETL pipelines and workflows within Databricks
• Integrate forecast inputs from multiple internal data providers and teams
• Ensure reliable, secure, and scalable data flows across development, test, and production environments
• Support ingestion of non-standard and legacy data sources , including cleanup and standardization
• Manage code deployment using Git and DBX asset bundles
• Collaborate with platform engineering teams on data governance, security, and compliance
• Automate infrastructure provisioning, deployment, and monitoring across cloud and hybrid environments
• Troubleshoot platform and data pipeline issues across dev/test/QA/prod
• Act as a technical liaison between IT, analysts, data scientists, and business stakeholders

Benefits

• Comprehensive Benefits for you and your dependents – Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching
• Paid Time Off – Offer paid time away from work
• Hybrid Work Model – Typically onsite once per week in Colorado
• Professional Growth – Work alongside experienced engineers, analysts, and data scientists on a strategic platform

What This Job Offers

• Career Level: Mid Level