Principal Quality Engineer role responsible for accelerating quality engineering practices across data and API-centric initiatives, designing and maintaining automation frameworks, and coaching teams on modern QE practices.
Requirements
- 10+ years of professional experience in software quality engineering, test automation, or SDET roles.
- Significant hands-on experience in API Test Automation: Design, develop, and maintain API automation suites using Cucumber, Serenity BDD, and/or Karate frameworks.
- Experience building and executing automated data validation strategies across pipelines, warehouses, and reporting layers (source-to-target, schema, integrity, reconciliation, lineage).
- Experience validating reporting and BI tools by comparing report outputs against source databases using complex and optimized queries.
- Demonstrated experience with performance testing using Rush Hour or comparable tools (e.g., JMeter, Gatling, k6) with willingness/ability to use Rush Hour.
- Understanding of architecting reusable, scalable test automation frameworks with a strong proficiency in Java, with supporting tooling/scripts in Python as needed.
- Expertise in authoring advanced SQL queries to validate data correctness across heterogeneous data stores.
- Awareness of integrating automated test suites into CI/CD pipelines; ensuring fast feedback loops and reliable, deterministic test execution.
- Experience with version control (Git) and modern collaborative development workflows.
- Hands-on experience with AI code-assist tools (e.g., GitHub Copilot, Copilot Chat, or similar) integrated into a daily development workflow.
- Experience with contract testing (e.g., Pact) and/or API specification tooling (OpenAPI/Swagger).
- Experience testing modern data platforms (e.g., Snowflake, Databricks, BigQuery) and/or reporting platforms (e.g., Tableau, Power BI, MicroStrategy).
- Experience with containerization (Docker) and cloud platforms (AWS, Azure, or GCP).
- Familiarity with observability tooling for test diagnostics (logs, traces, metrics)
- Proven experience designing and executing data validation strategies (ETL/ELT testing, source-to-target, reconciliation, schema validation).
- Awareness of REST API design, contracts, and testing patterns (including authentication, schema/contract validation, negative testing).
- Partnership with squads to mature their QE practices — shift-left testing, contract testing, test data management, and quality gating.
- Contribution to the modernization of data and reporting platforms by establishing automated quality checks that de-risk migration and refactoring efforts.
- Excellent communication skills with the ability to enable and coach delivery squads.
- Background in financial services or other regulated/data-intensive domains nice to have.
- Leading or coaching agile QE and audit practices within squads.
- Work cross-functionally with developers, data engineers, product owners, and other QE practitioners; mentor team members on automation best practices.
- Produce clear, actionable quality metrics and dashboards that inform delivery decisions.
Benefits
- Medical, vision, and dental benefits
- 401k retirement plan
- Variable pay/incentives
- Paid time off
- Paid holidays
