QA Automation Engineer

Description

Why YOU want this position

At Enverus, we’re committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.

We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we’re helping our customers make better decisions that help provide communities around the world with clean, affordable energy.

The energy industry is changing fast. But we’ve continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn’t be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.

Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.

The Team

The team this role supports is at the core of testing a variety of primary datasets. We use cutting- edge technology and champion innovation to provide our customers with the highest quality data.

Performance Objectives

• 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.
• Collaborate within a cross-functional team including development, QA, and product.
• Investigate, debug, and triage complex issues independently, escalating when necessary.
• Follow QA team best practices and contribute to continuous improvement efforts.
• Demonstrate curiosity and a growth mindset by learning from mistakes and seeking out the "why" behind tasks.
• Communicate clearly and proactively with team members and stakeholders.
• Display a willingness to implement AI tools to accelerate test development

Competitive Candidate Profile

• 5+ years of proven experience in ETL process QA and data validation.
• Strong knowledge of Python for scripting and automation.
• Solid SQL skills for data querying and validation.
• Hands-on experience with AWS or other cloud services.
• Practical knowledge of Databricks and PySpark for working with big data.
• Familiarity with version control systems, especially GitHub.
• Hands-on experience working with data lakes and understanding of data warehousing concepts.
• Experience with GitHub Copilot and Claude Code
• Experience with Agile methodologies and iterative development.

Key Attributes:

• Self-motivated and capable of working independently.
• Strong problem-solving skills and attention to detail.
• Willingness to challenge conventional approaches and think creatively.
• Ability to complete well-defined tasks efficiently and with high quality.
• Knows when to ask for help and how to collaborate effectively.

Technology Stack

Python, PySpark, AWS, Databricks, SQL, Claude, GitHub