Quality Assurance (QA) Engineer

Siftwell is seeking a Quality Assurance Engineer to ensure the accuracy and reliability of its healthcare data and software products. The role builds automated data-validation approaches, tests customer-facing analytics products and data pipelines, and investigates and documents bugs to support efficient resolution. It also helps establish scalable quality-assurance and issue-management practices as the company grows.

Responsibilities:

• Build and maintain automated validation processes for customer data inputs, transformations, and outputs
• Replace manual checks and one-off scripts with repeatable, scalable, automated, and well-documented quality-assurance methods
• Identify data that is incomplete, inconsistent, inaccurate, or outside expected parameters and clearly communicate potential issues to the appropriate stakeholders
• Investigate discrepancies across source data, processing logic, and delivered outputs to determine where issues originate
• Develop and maintain test plans, test cases, regression tests, validation rules, and supporting documentation
• Perform functional, integration, and regression testing for Siftwell software products and data pipelines
• Triage, reproduce, document, and track software bugs reported by customers and internal stakeholders
• Translate loosely defined issue reports into clear, actionable tickets that enable engineers to diagnose and resolve problems efficiently
• Partner with Engineering, Data Science, Product, and Customer Success to assess issue severity, clarify expected behavior, and support timely resolution
• Help establish and continuously improve Siftwell’s QA processes, tools, standards, and operating practices as the company and customer base grow
• Monitor recurring defects and data-quality patterns, identify root causes, and recommend opportunities for greater automation or prevention
• Contribute to smaller engineering tickets, product enhancements, or technical projects based on team needs and individual interest
• Handle protected health information and other sensitive data in accordance with Siftwell’s security, privacy, and compliance requirements
• Adhering to the Company Security and Privacy Policies and the associated security standards
• Maintaining the security of the Information assets and resources to which they have been granted access
• Ensuring direct reports are aware of and adhere to Company Security and Privacy Policies
• Ensuring the security of information and managing risks to assets and resources owned by their functional area
• Ensuring that contractors, consultants, partners and other third parties under their sponsorship operate in compliance with Company policy
• Monitoring compliance related to business assets owned by their functional area and taking corrective action as necessary

Requirements:

• Bachelor's degree required plus a minimum of 5 years of relevant work experience
• Minimum of 5 years of experience in software quality assurance, data quality, test engineering, or a closely related technical role, including testing data pipelines, analytics platforms, machine-learning products, or other data-intensive applications
• Experience designing and implementing automated API, backend, and end-to-end application tests, data-validation frameworks, and repeatable QA processes
• Proficiency in Python or another scripting language used for testing, automation, and data validation, with working knowledge of SQL and relational databases
• Proficiency in automated unit and integration testing frameworks and tools, like Playwright, Selenium, Vitest, and pytest
• Experience performing functional, integration, and regression testing, including reproducing, isolating, documenting, and communicating software defects
• Strong analytical and problem-solving skills, with the judgment to look beyond whether code executed successfully and assess whether the underlying data and results make sense
• High ownership, attention to detail, and strong communication skills, with the ability to work independently and collaborate effectively across technical, product, and customer-facing teams
• Master's degree or relevant professional certification
• Familiarity with software development practices, version control, and continuous integration and deployment workflows
• Experience establishing or improving QA processes within a startup or growth-stage company
• Experience working with healthcare data, protected health information, and HIPAA requirements, or within another regulated-data environment
• Interest in expanding into broader software engineering responsibilities over time