Quality Assurance (QA) Engineer

Siftwell Analytics combines healthcare operator expertise and artificial intelligence to provide managed care health plans with insights for earlier and more precise health interventions. The Quality Assurance Engineer will ensure the accuracy and reliability of healthcare data and software products by building automated data-validation processes, testing applications and pipelines, and investigating defects. The role also supports bug triage, QA process improvement, cross-functional issue resolution, and occasional technical initiatives.

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; Master's degree or relevant professional certification preferred
• 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
• This position is remote within the United States and operates primarily during U.S. Eastern Time business hours
• Occasional travel may be required for company meetings and team events
• Master's degree or relevant professional certification preferred
• 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