• BS in Engineering, Computer Science, Data/Information Science, Mathematics, or a related field
• 2+ years of hands-on experience in a similar position
• Working knowledge of Python
• Experience working with relational data via Oracle, Postgres, and/or SQL Server
• Experience with test, verification, validation and productization of algorithms
• Ability to thrive in an Agile Scrum environment
• A desire and curiosity about learning innovative technologies

Desirable

• We are seeking an experienced Data QA Engineer to join our PowerSIMM team in Boulder, Colorado
• As a Data QA Engineer, you will be instrumental in ensuring the integrity and reliability of our data
• You will work closely with our data engineers, analysts, and developers to write, execute, and maintain tests and scripts focused on our analytics code and processes
• Your efforts will ensure that our data remains trustworthy, accurate, and aligned with business requirements
• Test Development & Execution: Write, execute, and maintain comprehensive tests and scripts designed to validate our analytics code, data pipelines, and processes
• Test Automation: Implement and maintain automated testing frameworks to streamline data quality assurance processes
• Data Validation: Develop and perform automated and manual tests to ensure data accuracy, consistency, and completeness across all systems
• Code Review: Collaborate with other data QA engineers and data engineers to review and improve data-related code
• Documentation: Document test cases, procedures, and results to ensure a clear record of data validation efforts
• Collaboration: Work closely with cross-functional teams to understand data requirements, provide feedback, and contribute to overall data quality improvements
• Continuous Improvement: Stay updated on the latest QA methodologies and tools, and continuously seek to improve testing strategies and processes