QA Automation Engineer - 26-268
About this role
- 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
Company at a glance
Enverus is a single source platform for management, development and acquisition, within the entire energy value chain. From early-stage investment to full-scale development, we provide the actionable intelligence, in-depth analysis and speed to support your changing energy strategy.
This is what we call Intelligent Connections: empowering your company to discover previously unseen insights and opportunities, act fast, and deliver extraordinary outcomes.
A Technology Partner for the Future
Enverus is the most trusted knowledge and analytics platform in the energy industry, with real-time access to analytics, insights, benchmark costs, revenue data and more.
More than 300 financial institutions and more than 5,000 energy companies rely on our analytics, intelligence, and technology to make capital investment decisions and increase investor ROI.
Our platform is built both by, and for, our industry. Our source is our own connections — with direct access to more than 98% of U.S. producers, and more than 35,000 suppliers, we inform more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing.
What We Provide
Our platform provides a centralized, single-source of truth, with energy analytics informed by more than 20 years of market intelligence and machine-learning.
For personal, customizable support, our highly experienced, sizable analyst team provides thought leadership, consulting and tech innovation.
Our goal is to build a long-term relationship with you, addressing your challenges today, while providing the tools for you to thrive tomorrow.
Our customers regularly report major production increases, substantial savings on labor costs, impressive savings and EUR improvements.
We provide a complete scope of the entire energy industry, including oil and gas, financial institutions, power, utilities and renewables. But we also illuminate their connections, and where they’re going.
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