About Us

Siftwell Analytics is a fast-growing company that combines healthcare operator expertise and artificial intelligence to equip managed care health plans with better insights to drive earlier and more precise health interventions for members. Siftwell was founded with a fundamental commitment to address the unique challenges faced by health plans, beginning with Medicaid, Marketplace, and Medicare plans, who are entrusted with the care of our most vulnerable and complex populations.

At Siftwell, we hire “Humble Killers” – individuals with a deep commitment to the mission, high ownership, and low ego. We are committed to providing a mutually respectful work environment where diversity and inclusion are critical to our success. We seek to recruit, develop, and retain talented professionals from a broad range of backgrounds, and to foster a culture where individuals can grow, contribute meaningfully, and thrive.

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.

Equal Opportunity Statement

Siftwell celebrates diversity and is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability status, veteran status, or any other characteristic protected by law.

Qualified applicants with arrest or conviction records will be considered in accordance with applicable laws, including the California Fair Chance Act.

ADA Accommodation Statement

If you require a reasonable accommodation during a selection process, please let us know through our general contact form or indicate this in your application.

Security 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

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