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QA Engineer; Part-Time

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: Sigma Squared
Part Time position
Listed on 2025-12-28
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: QA Engineer (Part-Time)

Overview

Sigma Squared is seeking a rigorous Quality Assurance Engineer to ensure the quality, reliability, and usability of our insights & analytics platform on a part-time basis. In this role, you’ll work cross-functionally with engineering, data science and product to identify issues, ensure functionality, and maintain a high level of quality for our user base. As the first QA Engineer on the team, you’ll have the opportunity to shape this function as we scale.

Key Responsibilities
  • Design, document, and execute automated test cases across the platform, covering product features, data science models and machine learning frameworks.

  • Identify, record, and track software defects and issues.

  • Collaborate with developers to understand features and provide feedback on testability and usability.

  • Participate in test planning and requirement reviews to ensure coverage of edge cases.

  • Execute regression, functional, and integration tests.

  • Verify bug fixes and new features in multiple environments.

  • Provide clear and detailed test reports to stakeholders.

  • Contribute to improving QA processes and testing standards within the team.

Qualifications
  • 2+ years of experience in automated software testing.

  • Strong understanding of software development lifecycle (SDLC) and QA methodologies.

  • Experience with bug tracking and test management tools (Jira, Wiremock, Pytest, etc.).

  • Familiarity with basic SQL queries and API testing (Postman or similar).

  • Proficiency with automation testing tools (Playwright or similar).

  • Experience with agile development processes.

  • Knowledge of performance and security testing basics.

  • Familiarity with CI/CD pipelines.

  • Excellent analytical, problem-solving, and communication skills.

  • Detail-oriented and proactive in identifying potential issues.

  • Understanding of statistics and/or data science methodologies is highly preferred.

  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).

Technologies we use

Know some of these already? Great! Don't? We'll teach you!

  • Full-stack:
    Python, Typescript, React & Node.

  • Hosting: AWS, Snowflake & Dynamo

    DB.

  • ML:
    Ray, dbt & Dagster.

  • QA Tools:
    Playwright, Wiremock & Pytest.

What we offer

A uniquely compelling opportunity to advance our mission with world class colleagues, a tremendous amount of responsibility and autonomy, and access to all the information you need to succeed. Plus:

  • Competitive salary and generous stock options (that you’ll make incredibly valuable)

  • Comprehensive health, dental, vision, and FSA/HSA

  • 401K with employer match

  • Flexible PTO and all the usual holidays

  • Fully stocked kitchen with coffee and snacks

  • Pre-tax commuter benefits

  • Employer-paid life and disability insurance

  • Educational assistance and training reimbursement

  • Employee assistance with no-cost counseling, referrals, and resources

  • Financial wellbeing support with no-cost consultations, personalized assessments, and coaching

  • Adoption assistance, free legal support, and more

More About us...

Sigma Squared helps firms unleash productivity by putting data at the center of every decision. We combine econometrics and a flexible, modular platform to transform the way organizations recruit, hire, retain, promote, and develop their frontline work forces. By delivering actionable insights, integrated tools, and measurable financial impact, we empower enterprises to optimize hiring and promotion paths, unlocking the full potential of their people while driving meaningful business outcomes.

To learn more about Sigma Squared, visit sigmasquared.io

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