QA Engineer

This is a fully remote position, open to applicants in Colorado, +10 more states.

📋 Description

• Develop and uphold automated validation processes for customer data inputs, transformations, and outputs.

• Replace manual verification methods and ad-hoc scripts with systematic, scalable, automated, and thoroughly documented QA techniques.

• Detect incomplete, inconsistent, inaccurate, or unexpected data and relay issues to stakeholders.

• Examine discrepancies within source data, processing logic, and delivered outputs.

• Create and maintain test plans, test cases, regression tests, validation rules, and accompanying documentation.

• Conduct functional, integration, and regression testing for software products and data pipelines.

• Triage, reproduce, document, and monitor software bugs reported by customers and internally.

• Convert vaguely defined issue reports into clear, actionable engineering tickets.

• Collaborate with Engineering, Data Science, Product, and Customer Success teams regarding issue severity, expected behavior, and resolutions.

• Develop and enhance QA processes, tools, standards, and operational practices.

• Track recurring defects and data-quality trends, identify root causes, and propose automation or preventative measures.

• Contribute to smaller engineering tickets, product improvements, and technical initiatives.

• Manage protected health information and sensitive data in compliance with security, privacy, and regulatory requirements.

• Report directly to the VP of Engineering.

⛳️ Requirements

• A Bachelor’s degree is required.

• At least 5 years of relevant work experience is necessary.

• Minimum of 5 years in software quality assurance, data quality, test engineering, or a closely related technical role.

• Experience in testing data pipelines, analytics platforms, machine-learning products, or other data-centric applications.

• Proven experience in designing and executing automated API, backend, and end-to-end application tests.

• Familiarity with data-validation frameworks and consistent QA processes.

• Proficiency in Python or another scripting language utilized for testing, automation, and data validation.

• Basic understanding of SQL and relational database management.

• Expertise in automated unit and integration testing frameworks and tools, including Playwright, Selenium, Vitest, and pytest.

• Experience conducting functional, integration, and regression testing.

• Competence in reproducing, isolating, documenting, and communicating software defects.

• Strong analytical and problem-solving abilities.

• High level of ownership and attention to detail.

• Excellent communication skills, with the ability to work independently and collaborate effectively across technical, product, and customer-facing teams.

• Employment is contingent upon successfully passing a pre-employment background check.

• Must be legally authorized to work in the United States; sponsorship requirements must be disclosed.

🏝️ Benefits

• Meaningful equity opportunities.

• Comprehensive health, dental, and vision insurance coverage.

• Short-term disability benefits.

• 401(k) retirement plan with company matching contributions.

• Unlimited paid time off.

• Continuous professional development and learning opportunities.