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Urbane Systems

Urbane Systems is hiring: Data QA Tester in Virginia

Urbane Systems, Virginia, MN, United States, 55792

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Responsibilities

  • Perform data migration validation and reconciliation between legacy systems, staging environments, and target ERP systems (e.g., NetSuite).
  • Validate data integration workflows, ensuring transformation logic, mapping rules, and business rules are correctly implemented.
  • Conduct end-to-end data verification across Finance and Accounting datasets.

Testing & QA Execution

  • Develop and execute Test Strategies, Test Plans, Test Cases, and Test Scripts.
  • Perform functional, integration, regression, and user acceptance testing (UAT) for data pipelines, ERP modules, and API integrations.
  • Validate ETL processes, ensuring correct extraction, transformation, and loading of financial and operational data.
  • Use Python and/or PySpark to create automated test scripts and support data validation efforts.
  • Execute API testing using tools such as Postman, Swagger, or comparable frameworks.
  • Identify defects, log issues, track remediation, and prepare detailed QA reports.
  • Collaborate with ERP implementation teams to ensure accurate configuration and data mapping into NetSuite or similar ERP platforms.
  • Validate financial transactions, master data, and accounting data flows across integrated systems.
  • Support testing for General Ledger, AP, AR, revenue, fixed assets, and other financial modules.
  • Work with AWS-based architectures to understand data ingestion paths and validate data flow across services.
  • Interpret and validate AWS data flow diagrams and ETL designs for completeness and accuracy.
  • Collaborate with Data Engineering to troubleshoot issues in data pipelines and integrations.

Required Skills & Qualifications

  • 7+ years of experience as a Data QA Tester, QA Analyst, or Data Quality Specialist.
  • Strong experience with ERP implementations, data migration testing, and integration validation.
  • Hands‑on experience with NetSuite or similar ERP platforms.
  • Proficient in Python and/or PySpark for data validation and automation.
  • Strong understanding of ETL concepts, data modeling, and data transformation logic.
  • Experience with AWS services, cloud data pipelines, and data flow validations.
  • Proficient in API testing methodologies and tools.
  • Experience working with Finance and Accounting data, processes, and reporting structures.
  • Strong SQL skills for querying and validating large datasets.
  • Excellent documentation and communication skills, including test reporting.

Seniority level

  • Mid‑Senior level

Employment type

  • Contract

Job function

  • Information Technology

Industries

  • Staffing and Recruiting

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Location: Reston, VA (Remote)

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