Data Test Engineer

CACI International•999 REMOTE, IL

7d•$75,200 - $158,100

About The Position

Join CACI’s team supporting USTRANSCOM’s Joint Transportation Management System (JTMS), a mission-critical enterprise platform modernizing transportation, logistics, and financial operations through SAP S/4HANA ERP integration. The Data Test Engineer validates data quality, transformation, migration, interfaces, and reconciliation across the SAP implementation, helping ensure that data is accurate, complete, consistent, and reliable. The role partners with developers, data engineers, business analysts, functional teams, and product owners in a SAFe Agile environment. The position involves analyzing requirements and data specifications, developing and executing SQL-based data tests, validating information across source and target systems, testing migrations and integrations, managing defects, and maintaining test documentation. It also contributes to Agile ceremonies and continuous improvement of data-testing practices, automation, reporting, and data-quality controls. This is a regular, full-time position requiring an active Secret clearance. Travel may be up to 10% within the continental United States. The proposed national salary range is $75,200–$158,100. CACI describes a flexible time-off benefit, learning resources, and comprehensive benefits covering healthcare, wellness, financial and retirement support, family support, continuing education, and time off.

Requirements

Active Secret security clearance.
Bachelor’s degree in Computer Science, Information Technology, Data Analytics, Engineering, or a related field, or equivalent professional experience.
At least 5 years of software-testing experience, including at least 2 years dedicated to data testing for large-scale enterprise or ERP systems.
Hands-on experience with data validation, ETL/ELT testing, source-to-target reconciliation, data migration or conversion testing, and data-quality testing.
Strong SQL skills for querying, comparing, aggregating, reconciling, and troubleshooting data across relational databases.
Strong working knowledge of the SAFe Framework, SDLC, and Agile development practices.
Strong analytical and problem-solving abilities, attention to detail, written and verbal communication skills, and ability to work independently and collaboratively.

Nice To Haves

Experience with data profiling, ETL tools, APIs, flat files, XML/JSON, and data comparison or reconciliation utilities.
Experience testing SAP S/4HANA or comparable ERP data, workflows, integrations, interfaces, or migration activities.
Experience with ServiceNow CWM (Collaborative Work Management) or a comparable tool.

Responsibilities

Review user stories, interface requirements, data mappings, transformation and business rules, and source-to-target specifications 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 integrated applications.
Validate data accuracy, completeness, consistency, integrity, referential relationships, formats, transformations, and business-rule compliance across source and target systems.
Test data extraction, cleansing, transformation, loading, conversion, and reconciliation, and verify migrated data against approved source-to-target rules.
Validate inbound and outbound data exchanged among SAP S/4HANA, SAP Fiori, Mendix applications, interfaces, and external systems, including error handling and exception processing.
Document data defects with queries, evidence, expected and actual results, and reproducible conditions; track issues through resolution and retest.
Create and maintain data test plans, test cases, test evidence, traceability, reconciliation results, and data-quality reports aligned with SAFe Agile practices.
Collaborate with data engineers, developers, functional analysts, business stakeholders, and integration teams to resolve data issues and maximize test coverage.
Participate in sprint planning, daily stand-ups, retrospectives, and other Agile ceremonies.
Identify improvements to data-testing methods, reusable SQL validation, automation, reporting, and data-quality controls.