QA Analyst
New York, New York County, New York, 10261, USA
Listed on 2026-08-03
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IT/Tech
Data Engineering, Data Analyst, IT QA Tester / Automation
About The Company
CEI is a comprehensive technology consulting and workforce solutions firm dedicated to partnering with enterprise organizations to deliver innovative IT services, digital transformation initiatives, and AI-driven solutions. Serving a diverse client base that includes mid-market companies and Fortune 1000 enterprises, CEI provides tailored technology consulting, professional services, and strategic staffing solutions across multiple industries. Our team comprises skilled internal IT consultants and recruiting professionals who work diligently to deliver project-based services and talent solutions directly within client environments.
We focus on building long-term relationships by understanding client needs, designing scalable technology strategies, and fostering internal growth through mentorship and career development opportunities. At CEI, our commitment is to drive measurable business outcomes through technology excellence and strategic partnership.
The Role
CEI is seeking a highly skilled Data Tosca QA Analyst to join our expanding team supporting one of our largest Healthcare / Dental Insurance clients. This fully remote position is integral to our CMS-focused Data Space initiative, which involves supporting enterprise data platforms within a healthcare environment. The primary responsibility of this role is to ensure the accuracy, integrity, and reliability of data across complex systems through structured testing and validation processes.
The successful candidate will work collaboratively with QA analysts, data engineers, and business stakeholders to support large-scale data integration, migration, and reporting efforts. The role involves designing, executing, and maintaining automated and manual testing processes to validate data pipelines and enterprise data systems, contributing to data quality and compliance initiatives. This position requires strong collaboration skills, attention to detail, and a thorough understanding of data validation techniques to support critical reporting and analytics functions.
The ideal candidate will possess a bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field. They should have between 3 to 5 years of QA/testing experience, with at least 2 years specifically working with Tricentis Tosca. Proven experience in data testing, ETL validation, or data warehouse testing is essential, along with hands-on experience testing data integration projects. Proficiency in Tosca Commander, Tosca Executor, and test case design is required.
Candidates should have experience working with Tosca modules including TBox, XScan, API testing, and database testing. Strong SQL skills are necessary, with the ability to write complex queries involving joins, aggregations, CTEs, and stored procedures. Familiarity with database platforms such as Oracle, SQL Server, Teradata, PostgreSQL, or MySQL is preferred. A solid understanding of ETL concepts, data warehouse architectures, data profiling, and data comparison techniques is also important.
Knowledge of version control systems like Git or SVN, QA methodologies, SDLC, and experience with test management tools such as JIRA, Test Rail, or HP ALM are required. Experience working within Agile/Scrum environments, API testing (REST and SOAP), and CI/CD pipelines will be advantageous. Preferred but not mandatory skills include Tosca certifications, experience with Tosca Data Integrity (TDI), ETL tools like Informatica or SSIS, cloud data platforms, scripting languages, Big Data technologies, and industry-specific experience.
The Data Tosca QA Analyst will be responsible for designing and developing automated test cases using Tricentis Tosca to validate data pipelines and ETL workflows, ensuring comprehensive coverage across various testing scenarios including integration, regression, and smoke testing. They will build and maintain reusable test components, modules, and libraries within the Tosca framework to support scalable testing efforts. Executing both automated and manual test scenarios to verify data accuracy across source and target systems…
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