Senior Data Test Engineer (SAP/ERP) | SQL QA

CACI International Inc

Springfield (IL)

On-site

USD 75,000 - 158,000

Full time

8 days ago

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Job summary

CACI International Inc is seeking a Data Test Engineer to join our engineering team in a full-time role. You will review requirements, design data test cases, and validate data across SAP S/4HANA, SAP Fiori, and Mendix interfaces, ensuring data accuracy and migration integrity.

You will collaborate with data engineers and stakeholders in an Agile SAFe environment. The role requires an active Secret clearance, a technical degree, and at least five years in software testing with data-testing

Qualifications

Active Secret clearance is required.
Bachelor's degree in Computer Science, Information Technology, Data Analytics, Engineering, or related field (or equivalent experience).
Minimum 5 years in software testing with at least 2 years in data testing for large-scale enterprise/ERP systems.
Hands-on data validation, ETL/ELT testing, source-to-target reconciliation, data migration/conversion testing, and data-quality testing.
Strong SQL skills for querying, comparing, aggregating, reconciling, and troubleshooting data across relational databases.
Strong knowledge of SAFe Framework, SDLC, and Agile practices.
Excellent analytical and problem-solving abilities with strong written and verbal communication.

Responsibilities

Review user stories, interface requirements, data mappings, and transformation rules to identify test conditions and acceptance criteria.
Design, build, and maintain data test cases, SQL queries, reconciliation checks, test data sets, and expected results for SAP S/4HANA and other integrated apps.
Validate data accuracy, completeness, consistency, integrity, referential relationships, formats, and transformations across systems.
Test data extraction, cleansing, transformation, loading, and reconciliation activities; verify migrated data against source-to-target rules.
Validate inbound and outbound data exchanges among SAP S/4HANA, SAP Fiori, Mendix, and external systems, including error handling.
Document data defects with queries, evidence, expected/actual results; track issues through resolution and retest.
Create and maintain data test plans, test cases, evidence, traceability, and data-quality reports aligned with SAFe practices.
Collaborate with data engineers, developers, analysts, and stakeholders to resolve data issues and maximize test coverage.
Participate in sprint planning, daily stand-ups, retrospectives, and other Agile ceremonies.
Identify opportunities to improve data-testing methods, reusable SQL validation, automation, reporting, and data-quality controls.