Senior QA Automation Engineer - Data & AI Testing

Energy Acuity; Denver (CO); On-site; USD 120,000 - 170,000; Full time

Job summary

Enverus is seeking a seasoned QA automation engineer to validate ETL data changes, design robust automated tests, and mentor peers in a dynamic data-driven environment.

You will leverage Python, SQL, PySpark, and cloud services to ensure data quality across our analytics platforms while collaborating with product, development, and QA teams to accelerate delivery and improve overall data reliability.

Qualifications

• 5+ years of proven experience in ETL QA and data validation.
• Strong knowledge of Python for scripting and automation.
• Solid SQL skills for data querying and validation.

Responsibilities

• Validate changes to datasets against acceptance criteria provided by Product Owners and Development SMEs.
• Design, implement, and maintain automated test cases for data-driven software products, with mentorship from senior team members.
• Log and track issues when software behavior deviates from expected outcomes.
• Review feature requirements and provide actionable feedback to improve quality and clarity.
• Write clean, maintainable, and efficient code for automated testing frameworks.

Skills

ETL QA

Python

SQL

AWS

PySpark

Agile methodologies

Data validation

Tools

Databricks

Claude Code

GitHub Copilot

GitHub

Job description

Enverus is seeking a seasoned QA automation engineer to validate ETL data changes, design robust automated tests, and mentor peers in a dynamic data-driven environment.

You will leverage Python, SQL, PySpark, and cloud services to ensure data quality across our analytics platforms while collaborating with product, development, and QA teams to accelerate delivery and improve overall data reliability.