QA Engineer

Siftwell Analytics, Inc

$90K — $110K *
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree and 5+ years of relevant experience; Master's or certification preferred.
  • 5+ years in software quality assurance or related role, especially with data-intensive applications.
  • Experience designing automated testing frameworks and processes.
  • Proficiency in Python or a similar scripting language and SQL.
  • Familiarity with testing tools like Playwright, Selenium, and pytest.
  • Experience in functional, integration, and regression testing.
  • Strong analytical and problem-solving skills, with emphasis on data accuracy.

Responsibilities

  • Build and maintain automated validation processes for customer data.
  • Replace manual checks with scalable automated quality-assurance methods.
  • Identify and communicate potential data issues clearly to stakeholders.
  • Investigate data discrepancies and determine their origin.
  • Develop and maintain detailed test plans and documentation.
  • Perform various testing methods for software products and data pipelines.
  • Triage and track bugs reported by customers and stakeholders.

Benefits

  • Comprehensive health, dental, and vision insurance
  • Short-term disability coverage
  • 401(k) retirement plan with company matching
  • Unlimited paid time off
  • Ongoing professional development opportunities
Full Job Description
About the Role

Siftwell is seeking a Quality Assurance Engineer to help ensure the accuracy and reliability of our healthcare data and software products. Reporting to the VP of Engineering, you will build automated approaches to data validation that identify incomplete, inaccurate, inconsistent, or unexpected customer data.

You will also support Siftwell's customer-facing analytics application by triaging and reproducing bugs, documenting findings, and equipping engineers to resolve issues efficiently. As our customer base grows, you will help establish scalable testing, validation, and issue-management practices.

This is a hands-on role for someone who brings curiosity, healthy skepticism, and high ownership to quality. You will look beyond whether the code ran successfully to determine whether the data inputs, outputs and customer experience make sense. Over time, you may also contribute to small engineering tickets, product enhancements, and other technical initiatives as needed.

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. Employment is contingent upon successful completion of a pre-employment background check.

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.

Requirements

Required:
  • 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.

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.

Application Timeline and Details

We anticipate the application window for this opening will close on: Oct 16th, 2026. Submission does not guarantee selection, and Siftwell reserves the right to modify or close the hiring process at any time.

Only shortlisted candidates will be contacted. All applications will be retained for future consideration.

For your security, Siftwell will only contact candidates through official company email addresses or authorized members of our hiring team. We will never request payment or financial information during the recruiting process.

Candidates should be prepared to participate in a technical assessment as part of a multi-stage interview process.

Disclosures

Location & Hiring Eligibility

This role is remote within the United States. We have an established presence in CO, FL, MA, MD, MN, NC, NJ, NY, PA, TN, and TX, and candidates in these states are encouraged to apply. If you're based elsewhere in the U.S., we'd still love to hear from you, we evaluate out-of-state candidates on a case-by-case basis.

This role operates primarily during U.S. Eastern Time business hours.

Security Notice

Siftwell will only contact candidates through official company email addresses or authorized members of our hiring team. We will never request payment or financial information during the recruiting process.

Benefits Overview

At Siftwell, we hire Humble Killers - talented, mission-driven teammates who value impact, collaboration, and ownership. Our goal is to support that commitment through competitive pay, meaningful equity, and benefits that promote well-being, growth, and flexibility.

Full-time Employment Opportunities include:
  • Comprehensive health, dental, and vision insurance
  • Short-term disability coverage
  • 401(k) retirement plan with company matching
  • Unlimited paid time off to rest and recharge
  • Opportunities for ongoing professional development and learning
  • Benefits may vary based on location and employment status.

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