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# Data Test Engineer job

- **Company:** System Soft
- **Location:** Phoenix, AZ, United States
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Automation of Tests, Big Data, Computer Programming, Databases, Data Validation, Information Engineering, Data Files, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Transformation, Relational Databases, Database Queries, Database Testing, JSON, Python (Programming Language), SQL Databases, Systems Integration, Web Services, Extensible Markup Language (XML), Scripting, Freeform SQL, Data Ingestion, Backend, Restful APIs, Data Pipelines, Programming Languages
- **Published:** October 18, 2026
- **Apply:** https://jobs.diversity.com/career/2533037/data-test-engineer

## About the Role

SQL and Database Technologies

 * Strong SQL skills, including complex joins, subqueries, aggregations, and data comparisons.
 * Experience querying relational databases and validating large datasets.
 * Ability to identify missing, duplicate, inconsistent, or incorrectly transformed records.
 * Experience with database testing and data reconciliation.

Data Engineering and Data Validation

 * Understanding of data pipelines, data ingestion, transformation, and downstream processing.
 * Experience validating source-to-target mappings and data integrity across systems.
 * Ability to analyze structured data files and troubleshoot data discrepancies.
 * Familiarity with ETL/ELT processes and data integration concepts.

API and Backend Testing

 * Experience validating REST APIs or other web services.
 * Understanding of request/response payloads, JSON or XML, and backend data verification.
 * Ability to validate that API responses and system outputs align with expected database records.
 * Experience testing integrations between multiple applications or services.

Programming and Automation

 * Scripting experience in Python or another programming language is desirable.
 * Ability to develop reusable scripts or queries to support data validation and reconciliation.
 * Familiarity with test automation approaches for backend and data-centric workflows.

## Description

* Perform end-to-end data validation across source systems, databases, APIs, web services, and downstream applications.
 * Develop and execute complex SQL queries to validate data accuracy, completeness, consistency, and integrity.
 * Analyze inbound files, database records, API payloads, and data transformations to identify discrepancies.
 * Validate data mappings, transformation logic, business rules, and expected outcomes.
 * Investigate data quality issues, perform root-cause analysis, and collaborate with engineering teams to resolve defects.
 * Design and execute backend, database, integration, and data reconciliation test scenarios.
 * Validate data processing workflows and ensure information is accurately transferred between interconnected systems.
 * Support testing of financial-crimes and sanctions-related business processes, ensuring that data is processed according to defined requirements.
 * Document test results, defects, findings, and potential business impacts with a high degree of accuracy.
 * Work closely with developers, data engineers, product owners, business analysts, and compliance stakeholders.
 * Communicate technical issues, risks, and recommendations clearly to both technical and nontechnical audiences.
 * Take ownership of assigned deliverables and contribute to continuous improvements in data quality and testing processes.