{"schemaVersion":"jobsearcher.job.v1","id":"e093f3f66ef8bd94ae5cb5fc","url":"https://jobsearcher.com/jobs/e093f3f66ef8bd94ae5cb5fc","canonicalUrl":"https://jobsearcher.com/jobs/e093f3f66ef8bd94ae5cb5fc","title":"Test Engineer, Data Validation","description":"At Technatomy, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customer’s success. We provide solutions to agencies and entities including the Department of Veterans Affairs, Department of Defense, Defense Logistics Agency, National Institute of Health, and more. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.\nIf this sounds like an environment where you can thrive, keep reading!\nWe are seeking an experienced Data Validation Test Engineer to verify the accuracy, completeness, lineage, reconciliation, and auditability of data exchanged or migrated into an enterprise Department of Veterans Affairs Pega solution. The role focuses on source-to-target validation, interface payloads, transformations, financial and acquisition data quality, migration results, and cross-system consistency rather than general application testing alone.\nDUTIES AND RESPONSIBILITIES:\nDevelop data-validation strategies, test plans, cases, queries, reconciliation rules, expected results, and traceability to source-to-target mappings and requirements.\nValidate data extraction, transformation, cleansing, normalization, migration, synchronization, and loading across source systems, integration services, staging, and Pega.\nVerify completeness, accuracy, uniqueness, consistency, timeliness, format, referential integrity, metadata, lineage, and authoritative-source alignment.\nTest interface requests and responses, API payloads, mappings, translations, business rules, error handling, retries, replay, and exception reporting.\nReconcile legacy and current data across fiscal years, programs, appropriations, cost centers, spending items, approvals, acquisition records, and reporting outputs.\nDevelop and execute SQL queries, data profiles, comparison routines, sampling methods, and automated validation checks where practical.\nDocument discrepancies with clear evidence, severity, affected records, likely source, business impact, and retest results.\nCollaborate with data/integration engineers, business analysts, developers, SMEs, and functional testers to resolve data defects and clarify rules.\nSupport test-data preparation, masking, generation, migration rehearsals, cutover validation, rollback checks, and post-deployment reconciliation.\nMaintain reusable validation assets, data-quality metrics, migration results, exception logs, and audit-ready evidence.\nKNOWLEDGE AND SKILLS REQUIRED:\n4+ years of experience in data testing, ETL testing, migration validation, integration testing, data quality, or comparable QA roles.\nStrong SQL skills and experience comparing, profiling, reconciling, and validating data across multiple sources or environments.\nExperience with source-to-target mappings, transformations, data-quality rules, metadata, lineage, and exception handling.\nExperience validating REST/API payloads, batch interfaces, ETL/ELT processes, or event-driven data exchanges.\nAbility to understand complex financial or transactional data relationships and identify material discrepancies.\nExperience documenting defects, evidence, impact, root-cause hypotheses, and retest results in a traceable manner.\nStrong analytical, detail-oriented, problem-solving, documentation, and communication skills.\nAbility to collaborate with data engineers, developers, analysts, SMEs, and client stakeholders in an Agile environment.\nKNOWLEDGE AND SKILLS DESIRED:\nExperience validating Pega data structures, data pages, integrations, migration utilities, or reporting outputs.\nExperience in Federal, financial, budget, acquisition, health, or another regulated data environment; VA experience is optional.\nFamiliarity with Java or Python validation scripts, ETL tools, API test tools, data-profiling tools, or automated comparison frameworks.\nWorking knowledge of data privacy, masking, auditability, authoritative data sources, or Section 508 report validation.\nISTQB, data-quality, SQL, ETL, cloud, or testing certification is preferred, but not required.\nEDUCATION:\nBachelor’s degree in Computer Science, Data Science, Information Systems, Mathematics, Engineering, Finance, or a related discipline, or an equivalent combination of education and experience.\nCLEARANCE:\nMust be able to obtain and maintain a Public Trust clearance.\nWORK LOCATION:\nRemote\nAs part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.\nThis position requires U.S. citizenship or Green card.\nThis position is contingent upon contract award.\nTechnatomy Corporation is an Equal Opportunity Employer. It is the policy of Technatomy Corporation to afford equal employment opportunity regardless of race, color, religion, national origin, sex, age, marital status, disability or veteran status, or any other status protected by applicable law.","company":"Technatomy","rawCompany":"technatomy","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-07T10:59:29.454Z","occupations":[{"code":"17-2112.02","title":"Validation Engineers","slug":"validation-engineers"},{"code":"15-1253.00","title":"Software Quality Assurance Analysts and Testers","slug":"software-quality-assurance-analysts-and-testers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Test Engineer, Data Validation","description":"At Technatomy, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customer’s success. We provide solutions to agencies and entities including the Department of Veterans Affairs, Department of Defense, Defense Logistics Agency, National Institute of Health, and more. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.\nIf this sounds like an environment where you can thrive, keep reading!\nWe are seeking an experienced Data Validation Test Engineer to verify the accuracy, completeness, lineage, reconciliation, and auditability of data exchanged or migrated into an enterprise Department of Veterans Affairs Pega solution. The role focuses on source-to-target validation, interface payloads, transformations, financial and acquisition data quality, migration results, and cross-system consistency rather than general application testing alone.\nDUTIES AND RESPONSIBILITIES:\nDevelop data-validation strategies, test plans, cases, queries, reconciliation rules, expected results, and traceability to source-to-target mappings and requirements.\nValidate data extraction, transformation, cleansing, normalization, migration, synchronization, and loading across source systems, integration services, staging, and Pega.\nVerify completeness, accuracy, uniqueness, consistency, timeliness, format, referential integrity, metadata, lineage, and authoritative-source alignment.\nTest interface requests and responses, API payloads, mappings, translations, business rules, error handling, retries, replay, and exception reporting.\nReconcile legacy and current data across fiscal years, programs, appropriations, cost centers, spending items, approvals, acquisition records, and reporting outputs.\nDevelop and execute SQL queries, data profiles, comparison routines, sampling methods, and automated validation checks where practical.\nDocument discrepancies with clear evidence, severity, affected records, likely source, business impact, and retest results.\nCollaborate with data/integration engineers, business analysts, developers, SMEs, and functional testers to resolve data defects and clarify rules.\nSupport test-data preparation, masking, generation, migration rehearsals, cutover validation, rollback checks, and post-deployment reconciliation.\nMaintain reusable validation assets, data-quality metrics, migration results, exception logs, and audit-ready evidence.\nKNOWLEDGE AND SKILLS REQUIRED:\n4+ years of experience in data testing, ETL testing, migration validation, integration testing, data quality, or comparable QA roles.\nStrong SQL skills and experience comparing, profiling, reconciling, and validating data across multiple sources or environments.\nExperience with source-to-target mappings, transformations, data-quality rules, metadata, lineage, and exception handling.\nExperience validating REST/API payloads, batch interfaces, ETL/ELT processes, or event-driven data exchanges.\nAbility to understand complex financial or transactional data relationships and identify material discrepancies.\nExperience documenting defects, evidence, impact, root-cause hypotheses, and retest results in a traceable manner.\nStrong analytical, detail-oriented, problem-solving, documentation, and communication skills.\nAbility to collaborate with data engineers, developers, analysts, SMEs, and client stakeholders in an Agile environment.\nKNOWLEDGE AND SKILLS DESIRED:\nExperience validating Pega data structures, data pages, integrations, migration utilities, or reporting outputs.\nExperience in Federal, financial, budget, acquisition, health, or another regulated data environment; VA experience is optional.\nFamiliarity with Java or Python validation scripts, ETL tools, API test tools, data-profiling tools, or automated comparison frameworks.\nWorking knowledge of data privacy, masking, auditability, authoritative data sources, or Section 508 report validation.\nISTQB, data-quality, SQL, ETL, cloud, or testing certification is preferred, but not required.\nEDUCATION:\nBachelor’s degree in Computer Science, Data Science, Information Systems, Mathematics, Engineering, Finance, or a related discipline, or an equivalent combination of education and experience.\nCLEARANCE:\nMust be able to obtain and maintain a Public Trust clearance.\nWORK LOCATION:\nRemote\nAs part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.\nThis position requires U.S. citizenship or Green card.\nThis position is contingent upon contract award.\nTechnatomy Corporation is an Equal Opportunity Employer. It is the policy of Technatomy Corporation to afford equal employment opportunity regardless of race, color, religion, national origin, sex, age, marital status, disability or veteran status, or any other status protected by applicable law.","datePosted":"2026-08-07T10:59:29.454Z","dateModified":"2026-08-07T10:59:29.454Z","hiringOrganization":{"@type":"Organization","name":"Technatomy","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e093f3f66ef8bd94ae5cb5fc"},"url":"https://jobsearcher.com/jobs/e093f3f66ef8bd94ae5cb5fc"}}