Test Automation Engineer III
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Test Automation Engineer III (Backend Data Validation & Performance Testing): Validating and assessing large-scale backend data systems across CMS enterprise applications with an accent on backend database/ETL validation, backend-to-frontend data comparison, and performance benchmarking. Focus on building rigorous backend test plans and API-based validation scenarios while ensuring data integrity, reliability, and high performance under federal compliance standards.
Company
is a digital services company partnering with government agencies to deliver intuitive products and services for federal programs.
What you will do
- Perform backend data and ETL validation across big-data platforms such as Databricks, Snowflake, and PostgreSQL.
- Analyze and validate complex CMS datasets and data assets, including cross-system data sourced from CMS Integrated Data Repository (IDR) and OnePI.
- Run backend-to-frontend comparison testing to ensure consistent data presentation between backend databases and UI/Databricks Unity Catalog outputs.
- Execute backend performance testing: query performance analysis, benchmarking throughput/processing times, and load/stress/volume testing of data pipelines and services.
- Develop and maintain backend test plans, performance testing strategies, and API-based validation scenarios with minimal oversight.
- Ensure compliance with CMS testing frameworks, SDLC processes, quality standards, and federal regulatory requirements; support UI validations when needed.
Requirements
- Public trust clearance through the U.S. Federal Government: candidates must be U.S. citizens or pass clearance via the Foreign National Government System, including having lived in the United States for at least 3 of the previous 5 years and having a valid, non-expired passport and appropriate visa/work permit documentation.
- 4+ years of hands-on experience in backend data testing or data QA roles.
- Experience with data validation/testing in large-scale data environments (Databricks, Snowflake).
- Experience with backend performance testing, including workload analysis, query optimization, and data pipeline performance evaluation.
- Proficiency with Jira, Confluence, and Slack; ability to create test documentation, defect reports, and acceptance criteria.
- Experience working in Agile/SAFe or similar methodologies and translating business requirements into backend test cases.
Culture & Benefits
- Fully remote work environment operating in the Eastern time zone; expected hours are 9:00 AM–5:00 PM Eastern.
- Occasional travel for training and project meetings (estimated <5% per year).
- Comprehensive benefits: medical, dental, vision, 401(k), paid time off and holidays, life and disability insurance, and wellness/support programs.
- Reasonable accommodations available during the application and hiring process.
Hiring process
- Pass public trust clearance requirements as part of eligibility.
- Interviews and evaluation aligned to backend data testing, performance testing, and compliance expectations.
Location: Fully Remote (Eastern time zone); Columbia
Salary: $97,200 - $98,000 (USD)
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