Full Description

About OpenLoop

OpenLoop was co-founded by CEO, Dr. Jon Lensing, and COO, Christian Williams, with the vision to bring care anywhere. Our telehealth support solutions are thoughtfully designed to streamline and simplify go-to-market care delivery for companies offering meaningful virtual support to patients across an expansive array of specialties, in all 50 states.

About The Role

We're seeking a QA Automation Engineer to join our Data Engineering team and take ownership of quality assurance across our data pipelines and infrastructure. This role will be instrumental in building and maintaining automated test suites that ensure the reliability and accuracy of our healthcare data systems. You'll work closely with a small, focused team of data engineers to establish testing strategies, prioritize coverage for critical data paths, and maintain quality standards as we scale.

What You'll Do

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.

Documentation & Standards: Document test cases, testing strategies, and coverage metrics to establish repeatable quality standards across the data team.

Continuous Improvement: Identify testing gaps and systematically expand coverage toward end-to-end testing of critical data pipelines.

Requirements

3-5 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). Understanding of data structures, data modeling concepts, and data lineage. Experience testing in a multi-tenant SaaS environment. English (C1/C2) fluency.Preferred Qualifications Experience testing monorepo architectures. Experience reading and understanding CDK or CloudFormation templates. Knowledge of data quality validation tools such as Great Expectations or similar frameworks. Experience testing event-driven architectures and distributed systems. Familiarity with HIPAA compliance requirements or regulated healthcare environments. Experience validating API Gateway integrations and serverless architectures. Strong problem-solving skills and ability to diagnose complex data quality issues. Excellent communication skills and ability to collaborate cross-functionally with engineering teams.