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Data Quality Engineer

Yes EnergyBoulder, Colorado
Hybrid Full-time $90K/yr - $115K/yr

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Experience Level

Experience

Qualifications

The ideal candidate should possess:Proficiency in SQL and PL/SQL, with a strong focus on data validation and quality assurance. Experience in developing automated QA frameworks and monitoring systems. Strong analytical skills with the ability to perform deep-dive root cause analysis. Excellent collaboration skills for working with cross-functional teams. A meticulous approach to problem-solving and data integrity.

About the job

Join the Market Leader in Electric Power Data and Analytics Solutions

The electrical grid is the largest and most intricate machine ever constructed. Yes Energy’s cutting-edge electric power trading analytics software offers real-time insight into the vast amounts of data generated by the North American electrical grid daily. Our distinct and innovative perspective on this data empowers real-time trading decisions and informs mid-to-long-term investments that help maintain low utility prices, support the energy transition, and ensure the grid's reliability. This role is not only challenging but also purposeful.

 

Be a part of our thriving, expanding business amidst global transformation.

 

Position Summary

As a seasoned Data Quality Engineer, you will be entrusted with the unwavering integrity of our core power infrastructure data. Your role will not merely involve data movement; you will design automated systems, complex SQL validators, and PL/SQL packages to ensure our data is comprehensive, timely, and exceptionally accurate. We are in search of a robust Data Quality specialist who blends extensive database programming skills with a meticulous QA approach.

Position Details

  • Salary range: $90,000 - $115,000, depending on experience
  • Location: Boulder, CO (Hybrid)
  • Full-Time
  • Reporting to: Director of Content Engineering
  • Authorization: Applicants must be authorized to work in the US without visa sponsorship.

Primary Responsibilities: 

  • Advanced Data Quality Engineering: Develop and implement automated QA frameworks within the database to identify anomalies, data drifts, and logical errors in real-time.
  • PL/SQL & SQL Development: Create complex, high-performance PL/SQL stored procedures, functions, and packages specifically for data validation, cleansing, and ETL audit trails.
  • Deep-Dive Root Cause Analysis: Serve as the ultimate safeguard against data discrepancies. Utilize expert-level SQL and front-end tools to trace data issues back to source systems, primary research, user error, or transformation logic.
  • Database Architecture for Quality: Collaborate on schema design to ensure data models enforce referential integrity and facilitate effective quality-control indexing.
  • Automated Monitoring: Develop and maintain proactive "health check" dashboards and alert systems that oversee the completeness and timeliness of thousands of daily data feeds.
  • Process Standards: Lead the charge in establishing and upholding process standards that bolster data integrity.

About Yes Energy

Yes Energy is at the forefront of electric power data and analytics solutions, transforming the way utility companies and traders interact with the electrical grid. Our innovative technology and commitment to accuracy empower our users to make informed decisions that positively impact the energy landscape.

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