QA Engineer

When our CEO and Co-Founder was a kid, he thought his dad must be the best doctor in the world. Why else were people driving from all over for their appointments? When he got older, he realized that, while his dad *was* a great doctor, he was also one of the *only* specialists available in his rural community.

That’s why we built OpenLoop. We’re passionate about powering telehealth companies in all 50 states in USA to expand access to affordable, convenient, and quality care. We do this by connecting our network of leading clinicians with innovative digital health companies, and managing many of the HR and Operations challenges that come with licensing, credentialing, insurance, PC groups, and scheduling -- all through our SaaS platform.

🤓 As a QA Engineer, the company expects you to perform the following tasks:

• Quality Ownership: Own and maintain the automated test suite that runs in our CI pipeline, including integration tests, data quality checks, and smoke tests for our data infrastructure.

• Strategic Collaboration: Partner closely with data engineers to understand pipeline architecture, identify critical data paths, and develop comprehensive testing strategies that prioritize business-critical datapoints.

• Test Development: Write and maintain automated tests for data pipelines using Python and TypeScript, ensuring coverage across batch and event-driven workflows.

• Data Validation: Implement data quality checks including row counts, schema validation, key-column validation, idempotency testing, and duplicate handling across ETL processes.

• CI/CD Integration: Build and maintain testing frameworks that integrate seamlessly with our CI/CD pipelines using GitHub Actions, AWS CodePipeline, and CodeArtifact.

✨ You are the person they are looking for if you have....

• 3 years of experience in QA automation or software testing, with a focus on data pipelines or backend systems.

• 3 years of hands-on experience with Python and TypeScript for test automation.

• Strong experience with CI/CD pipelines (GitHub Actions, AWS CodePipeline, CodeArtifact).

• Hands-on experience working with data lakes and ETL processes on AWS (familiarity with services like S3, Glue, Athena, Lambda, Step Functions, SQS, EventBridge).

• Experience with testing frameworks for Python (pytest, unittest) and TypeScript/JavaScript (Jest, Mocha).

• Experience testing in a multi-tenant SaaS environment.