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SDET Data Management Engineer

Job in Brooklyn, Cuyahoga County, Ohio, USA
Listing for: Horizontal Talent
Full Time position
Listed on 2026-06-12
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Database Administrator, IT QA Tester / Automation
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Overview

Join our team as a Test Data Management Engineer, where you'll play a crucial role in supporting testing teams by managing and automating test data processes. This is a contract-to-hire opportunity that offers a dynamic work environment and the chance to make a significant impact.

Responsibilities
  • Fulfill data mining requests to identify and validate test data for project teams.
  • Create, provision, and maintain test data across various environments.
  • Develop automated solutions to enhance test data setup and reuse.
  • Write and troubleshoot SQL queries for data analysis and issue resolution.
  • Conduct API testing and validate services related to test data.
  • Collaborate with testers, developers, and stakeholders to meet data needs.
  • Analyze and resolve data issues affecting project timelines.
  • Document processes and best practices for test data management.
Qualifications
  • Proven experience in supporting test data needs for QA teams.
  • Strong proficiency in SQL for data extraction and troubleshooting.
  • Experience with databases like Oracle, DB2, Postgres, and SQL Server.
  • Hands-on experience with API testing tools such as Postman or SoapUI.
  • Ability to manage data requests across multiple test environments.
  • Excellent problem-solving and communication skills.
  • Familiarity with mainframe applications and data structures.
Preferred Skills
  • Experience with automation frameworks for test data creation and validation.
  • Knowledge of industry-standard Test Data Management tools.
  • Background in regulated or large enterprise environments with complex data dependencies.
  • Understanding of data masking, virtualization, and synthetic data creation.
  • Experience with Unix/Linux command-line operations and Docker environments.
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