Location: Hybrid – Colorado (Typically onsite once per week, often Tuesdays)
Employment Type: Contract
Build the Backbone of a High-Impact Energy Forecasting Platform
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
Your Role & 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
Skills & Experience You Should Possess
- 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
Bonus Points If You Have
- 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
Education & Certifications You Need
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
- Databricks certification is a strong plus, but not required
What We Offer
At Trissential, we connect top engineering talent with impactful client opportunities—while ensuring flexibility, support, and competitive compensation.
- Competitive Compensation – $59–$69 per hour, depending on your skills, experience, and location. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.
- 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
Important Note
This role is open only to candidates authorized to work in the United States.
Ready to Build Something That Matters?
If you enjoy solving complex data engineering challenges and want your work to directly influence energy forecasting and planning, we’d love to hear from you. Apply today and take the next step with Trissential.
