Remote Position

[Remote] Quality Assurance (QA) Engineer

🌍 Remote · United States 💼 Full-time

Note: The job is a remote job and is open to candidates in USA. 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

Skills

  • 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

Benefits

  • For full-time employment opportunities: comprehensive health, dental, and vision insurance; benefits may vary based on location and employment status.
  • For full-time employment opportunities: short-term disability coverage; benefits may vary based on location and employment status.
  • For full-time employment opportunities: 401(k) retirement plan with company matching; benefits may vary based on location and employment status.
  • For full-time employment opportunities: unlimited paid time off to rest and recharge; benefits may vary based on location and employment status.
  • For full-time employment opportunities: opportunities for ongoing professional development and learning; benefits may vary based on location and employment status.
  • Remote within the United States, operating primarily during U.S. Eastern Time business hours.

Company Overview

  • For community health plans who must promote health-improving interventions among their membership, Siftwell provides AI analytics-as-a-service to identify members at risk of development new diagnoses and comorbidities and prioritize the actions and interventions that they can take to disrupt this emerging risk. It was founded in 2022, and is headquartered in Charlotte, North Carolina, USA, with a workforce of 11-50 employees. Its website is https://siftwell.ai/.
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