Data QA Engineer

<p><strong><span>Data QA Engineer, </span></strong><em><span>Boulder, CO</span></em><span> </span></p><p><span> </span></p><p><strong><span>About Ascend</span></strong><span> </span></p><p><strong><span>Ascend Analytics</span></strong><span>’ climate technology software and services provide critical insights to power the energy transition. The company’s products enhance critical power supply decisions from short-term operating strategies to long-term investment and resource planning. Ascends solutions serve as the core analytic infrastructure for electric utilities, independent power producers, electric retailers, and financiers of energy infrastructure. To learn more about Ascend, please visit us at </span><span><span>www.ascendanalytics.com</span></span><span>.  </span><span> </span></p><p><strong><span>Your Impact at Ascend Analytics</span></strong><span> </span></p><p><span>We are seeking an experienced </span><strong><span>Data QA Engineer</span></strong><span> to join our PowerSIMM team in Boulder, Colorado.</span> <span>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.</span><span> </span></p><p><strong><span>Job Responsibilities</span></strong> </p><ul><li><span>Test Development &amp; Execution: Write, execute, and maintain comprehensive tests and scripts designed to validate our analytics code, data pipelines, and processes.</span></li><li><span>Test Automation: Implement and maintain automated testing frameworks to streamline data quality assurance processes. </span><span> </span></li><li>Data Validation: Develop and perform automated and manual tests to ensure data accuracy, consistency, and completeness across all systems. </li><li>Code Review: Collaborate with other data QA engineers and data engineers to review and improve data-related code. </li><li>Documentation: Document test cases, procedures, and results to ensure a clear record of data validation efforts. </li><li>Collaboration: Work closely with cross-functional teams to understand data requirements, provide feedback, and contribute to overall data quality improvements. </li><li>Continuous Improvement: Stay updated on the latest QA methodologies and tools, and continuously seek to improve testing strategies and processes.<span> </span></li></ul><p><strong><span>Required Qualifications</span></strong> </p><ul><li><span>BS in Engineering, Computer Science, Data/Information Science, Mathematics, or a related field</span><span> </span></li><li><span>2+ years of hands-on experience in a similar position </span><span> </span></li><li>Working knowledge of Python </li><li>Experience working with relational data via Oracle, Postgres, and/or SQL Server </li><li>Experience with test, verification, validation and productization of algorithms </li><li>Ability to thrive in an Agile Scrum environment </li><li>A desire and curiosity about learning innovative technologies. <span> </span></li></ul><p><strong><span>Preferred Qualifications</span></strong> </p><ul><li><span>Working knowledge of Oracle, Python, Pandas and Sas.</span><span> </span></li><li><span>Knowledge of the energy industry, markets, and terminology</span> </li><li>Experience in a DevOps environment with CI/CD tools </li><li>Experience working with big data systems like Snowflake, Redshift, OneLake, or other lake/lakehouse architectures. </li><li>Familiarity with data statistics and probability theory<span> </span></li></ul><p><strong><span>Compensation: $75,000 - $105,000               </span></strong><span> </span><span> </span></p><p><span>Negotiable based on qualifications and experience. Ascend highly values our employees and often pays above industry average. </span><span> </span></p><p><span>We offer flexible work hours in a relaxed environment with opportunities for advancement and excellent benefits, including medical, dental, vision, short- and long-term disability, parental leave, dependent care spending account, and a 401k plan.  </span><span> </span></p><p><em><span>We celebrate diversity and are committed to creating an inclusive environment for all employees. Ascend Analytics is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information or other applicable legally protected characteristics.  </span></em><span> </span><span> </span></p><p><em><span>Ascend Analytics is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at </span></em><a href="mailto:recruiting@ascendanalytics.com"><em><span><span>recruiting@ascendanalytics.com</span></span></em></a><span> </span></p>