Data Engineer II

Yes Energy•Boulder, CO

1d•$100,000 - $125,000•Hybrid

About The Position

As a Data Engineer on the Bid-to-Bill Operations Engineers team, you will sit at the intersection of software engineering, customer operations, and market execution. You'll work directly with customers and internal teams to solve complex production challenges, investigate issues, improve system reliability, and build automation that eliminates repetitive work. Our customers depend on Yes Energy to run critical market operations involving settlements, billing, scheduling, and energy transactions worth millions of dollars each day. Success in this role is not measured by lines of code written. It is measured by making systems more reliable, reducing operational friction, improving customer outcomes, and creating leverage for the broader organization. If you enjoy solving real-world problems, understanding how systems behave in production, and building practical solutions that make people's lives easier, this role offers an opportunity to have an outsized impact.

Requirements

Four-year college degree or equivalent working experience
A minimum of 3 experience with C#, javascript,
Strong skills in SQL, MS SQL server
We actively use AI-assisted development, automation, and operational tooling. We expect engineers to leverage AI as a force multiplier for investigation, coding, documentation, testing, and workflow improvement
Communication, across team, with clients both written and verbal communication skills

Nice To Haves

Market knowledge, power trading, settlements, billing
Microsoft Azure knowledge
Vue.js experience

Responsibilities

Partner directly with customers to investigate and resolve complex operational and technical issues.
Serve as a trusted technical resource during production incidents and customer escalations.
Identify recurring operational problems and build automation to eliminate them.
Improve system observability through monitoring, alerting, dashboards, and diagnostic tooling.
Reduce manual operational effort through workflow and process automation.
Develop and maintain software and database solutions using C#, SQL Server, and related technologies.
Improve the reliability, performance, and maintainability of existing production systems.
Convert production learnings into permanent improvements.
Document operational knowledge and improve team resilience through knowledge sharing.
Provide after-hours support, for critical production issues