QATest Engineer
Share
Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
QA/Test Engineer
Location - Seattle WA Hybrid work
Role Summary:
The QA/Test Engineer is responsible for building and executing comprehensive test strategies for all ingestion and ETL pipelines. This role ensures that every pipeline meets the 98 99% data quality pass rate required by the SOW before production promotion and that automated tests are embedded in the CI/CD process.
Key Responsibilities:
- Design and implement a reusable test framework for unit integration and end-to-end testing of data ingestion and ETL pipelines.
- Write and maintain unit tests for individual transformation logic connector behavior and schema validation.
- Develop integration tests that validate end-to-end data flow from source ingestion through raw curated consumption layers.
- Build automated test suites that execute as part of the CI/CD pipeline gating production deployments.
- Validate data quality check behavior: confirm that DQ rules (completeness schema conformance record counts freshness) correctly trigger fail/alert actions.
- Perform staging environment validation using sample data provided by source owners before production promotion.
- Track and report test coverage defect rates and pipeline validation results for each milestone.
- Collaborate with Data/Cloud Engineers to define test cases edge cases and acceptance criteria for each data source.
- Support performance and load testing for streaming and high-volume batch sources where representative test data is available.
- Produce test artifacts test plans and validation reports as part of milestone documentation.
Required Skills & Qualifications:
- 4 6 years of experience in QA/test engineering with a focus on data pipelines ETL processes or data platforms.
- Strong proficiency in Python for test automation and data validation scripting.
- Experience with data testing frameworks (e.g. Great Expectations dbt tests pytest or custom frameworks).
- Hands-on experience testing data pipelines on AWS (Glue Spark S3 Athena Redshift).
- Understanding of data quality dimensions: completeness accuracy consistency freshness schema conformance.
- Experience integrating automated tests into CI/CD pipelines (GitHub Actions CodePipeline Jenkins).
- Ability to write SQL queries for data validation and reconciliation.
- Familiarity with test data management strategies for sensitive or regulated data.
- Strong documentation skills for test plans test cases and validation reports.
- Experience working in Agile/Scrum teams with 2-week sprint cycles.
Preferred Skills:
- Experience with performance/load testing for data pipelines.
- Familiarity with contract testing for APIs and schema registries.
- Knowledge of data observability tools (Monte Carlo Datafold or similar).
