QA Engineer

🔥 14 hours ago

⛰️ Colorado, Florida, +9 more states – Remote

⛰️ Colorado – Remote 🐊 Florida – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote ❄️ Minnesota – Remote 🔔 Pennsylvania – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote

💵 $160k - $175k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔧 QA Engineer (Quality Assurance)

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Siftwell

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

🏥 Healthcare

💼 Consulting

⚕️ Healthcare Insurance

Healthcare • Consulting • Healthcare Insurance

Siftwell is a healthcare analytics SaaS that provides whole-member intelligence for community health plans and managed care organizations. Its AI-powered platform integrates clinical data with social determinants and environmental factors to surface hidden member risks and deliver prioritized, actionable care recommendations that work with existing resources and workflows, enabling targeted outreach and improved member outcomes within days.

📋 Description

• 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 QA methods • Identify incomplete, inconsistent, inaccurate, or unexpected data and communicate issues to stakeholders • Investigate discrepancies across source data, processing logic, and delivered outputs • Develop and maintain test plans, test cases, regression tests, validation rules, and documentation • Perform functional, integration, and regression testing for software products and data pipelines • Triage, reproduce, document, and track customer- and internally reported software bugs • Translate loosely defined issue reports into clear, actionable engineering tickets • Partner with Engineering, Data Science, Product, and Customer Success on issue severity, expected behavior, and resolution • Establish and improve QA processes, tools, standards, and operating practices • Monitor recurring defects and data-quality patterns, identify root causes, and recommend automation or prevention • Contribute to smaller engineering tickets, product enhancements, and technical projects • Handle protected health information and sensitive data in accordance with security, privacy, and compliance requirements • Report to the VP of Engineering

🎯 Requirements

• Bachelor’s degree required • 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 • Experience 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 • Experience with data-validation frameworks and repeatable QA processes • Proficiency in Python or another scripting language used for testing, automation, and data validation • Working knowledge of SQL and relational databases • Proficiency in automated unit and integration testing frameworks and tools, such as Playwright, Selenium, Vitest, and pytest • Experience performing functional, integration, and regression testing • Experience reproducing, isolating, documenting, and communicating software defects • Strong analytical and problem-solving skills • High ownership and attention to detail • Strong communication skills and ability to work independently and collaborate across technical, product, and customer-facing teams • Employment contingent upon successful completion of a pre-employment background check • Must be legally authorized to work in the United States; sponsorship requirements must be disclosed

🏖️ Benefits

• Meaningful equity • Comprehensive health, dental, and vision insurance • Short-term disability coverage • 401(k) retirement plan with company matching • Unlimited paid time off • Ongoing professional development and learning opportunities