Senior QA Automation Engineer - Data Pipelines & API Testing

Veriipro; Plano (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

Veriipro is seeking an experienced Senior Python / QA Automation Engineer to design, develop, and maintain scalable test automation frameworks. You will validate BRDs, map requirements to tests, and drive end-to-end testing across data pipelines and UI dashboards, ensuring data quality and API reliability.

The role emphasizes CI/CD integration, collaboration with DevOps and data teams, and exploring AI-driven validation approaches, with a focus on Databricks/Snowflake environments.

Qualifications

• 8+ years of Python development, QA automation, and software testing.
• Hands-on experience with Python, Playwright, and Selenium WebDriver.
• Expertise in building and maintaining scalable test automation frameworks.
• Strong API automation testing for REST and GraphQL services.
• SQL-based data validation and data quality testing.
• Experience with Databricks and Snowflake data pipelines.
• Understanding of test strategies, planning, test case design, test execution, and defect management.
• CI/CD experience with Azure DevOps, Jenkins, and GitHub Actions.
• Docker, Git, and modern DevOps practices.
• API testing tools: Postman, Bruno, Requests, httpx, Swagger/OpenAPI.
• Performance testing with Locust, k6, or JMeter.
• Requirements traceability, acceptance criteria, regression testing, and defect prevention.

Responsibilities

• Design, develop, and maintain scalable Python-based test automation frameworks using Playwright and Selenium WebDriver.
• Develop and optimize comprehensive test strategies, test plans, test scenarios, and test cases.
• Review and validate BRDs, ensuring requirements are clear, complete, and testable.
• Map business requirements to acceptance criteria and maintain RTM.
• Participate in BRD walkthroughs, requirement reviews, and sign-off meetings with stakeholders.
• Design and execute end-to-end testing across data pipelines, including Databricks/Snowflake transformations and dashboards.
• Perform data validation across Databricks Unity Catalog schemas and write SQL-based data validation scripts.
• Develop automated data quality and regression testing frameworks using Great Expectations, Deequ, or custom Python solutions.
• Validate data completeness, referential integrity, schema evolution, and consistency across data layers.
• Perform API functional, integration, regression, and end-to-end testing of REST and GraphQL APIs.
• Validate API contracts, schemas, HTTP status codes, headers, authentication, and authorization.
• Use Postman, Bruno, Python Requests, httpx, and Swagger/OpenAPI validators for API testing.
• Test API error handling, edge cases, malformed payloads, rate limiting, timeouts, and 4xx/5xx responses.
• Perform API performance and load testing using Locust, k6, or JMeter.
• Validate API versioning and backward compatibility.
• Integrate automated UI, API, and data validation tests into CI/CD pipelines.
• Collaborate with development, DevOps, data engineering, and business teams to resolve defects.
• Maintain defect tracking, test execution reports, and quality metrics.
• Explore testing approaches for Generative AI and Agentic AI applications.

Skills

Python development

QA automation

Playwright

Selenium WebDriver

API automation

SQL data validation

Databricks

Snowflake

CI/CD

Azure DevOps

Docker

GitHub Actions

Tools

Postman

Bruno

httpx

Swagger/OpenAPI

Locust

k6

JMeter

Job description

Veriipro is seeking an experienced Senior Python / QA Automation Engineer to design, develop, and maintain scalable test automation frameworks. You will validate BRDs, map requirements to tests, and drive end-to-end testing across data pipelines and UI dashboards, ensuring data quality and API reliability.

The role emphasizes CI/CD integration, collaboration with DevOps and data teams, and exploring AI-driven validation approaches, with a focus on Databricks/Snowflake environments.