Test Data Engineer

Compunnel, Inc.; Hopkins (MN); On-site; USD 90,000 - 120,000; Full time

Job summary

A technology company in Hopkins is seeking a highly skilled Test Data Engineer to implement critical test data provisioning strategies across various automation layers. The ideal candidate will have over 5 years of experience in test data engineering, a strong understanding of TDP platforms, and skills in scripting and data management. Join us to enhance our QA Automation Framework initiative in a dynamic environment.

Qualifications

• 5+ years of experience in test data engineering or data provisioning.
• Strong hands-on experience with TDP or similar Test Data Management platforms.
• Proficiency in at least one scripting language for automation.

Responsibilities

• Design and implement dynamic test data provisioning strategies.
• Build and maintain a data abstraction layer mapping test cases.
• Collaborate with DevOps to enable service virtualization.

Skills

Test data engineering

TDP or similar platforms

Scripting (Python, Shell, Java)

YAML/JSON schema design

Service virtualization tools

Robot Framework

Education

Bachelor’s degree in computer science

Tools

Jenkins

GitHub Actions

Azure DevOps

Playwright

Appium

Job description

We are seeking a highly skilled and detail-oriented Test Data Engineer to support the QA Automation Framework initiative. This role is critical in enabling dynamic, compliant, and scalable test data provisioning across UI, API, backend, and mobile automation layers. The Test Data Engineer will work closely with cross-functional teams to integrate with the Test Data Portal (TDP), build synthetic data pools, and implement data abstraction strategies that align with CI/CD pipelines and governance standards.

KEY RESPONSIBILITIES

• Design and implement dynamic test data provisioning strategies using TDP APIs (account reservation, data conditioning, title mapping).
• Build and maintain a data abstraction layer mapping test cases to reusable data profiles via YAML/JSON schemas.
• Develop and manage synthetic fallback data pools for early-stage, smoke, and regression testing.
• Collaborate with DevOps to configure environment hooks and enable service virtualization for unavailable downstream systems.
• Automate post-execution data cleanup routines to ensure environment hygiene and compliance.
• Monitor and mitigate data drift through schema validation and alerting mechanisms.
• Support tagging and traceability of test data for compliance-critical flows (HIPAA, PCI, SOX).
• Actively participate in framework governance activities including weekly syncs, scorecards, and QA CoE reviews.

REQUIRED QUALIFICATIONS

• 5+ years of experience in test data engineering or data provisioning roles within enterprise QA environments.
• Strong hands-on experience with TDP or similar Test Data Management platforms.
• Proficiency in scripting languages (Python, Shell, or Java) for data manipulation and automation.
• Experience with YAML/JSON schema design and CI/CD pipeline integration.
• Familiarity with service virtualization tools and environment configuration strategies.
• Understanding of Robot Framework, CI/CD tools (Jenkins, GitHub Actions, Azure DevOps), and test orchestration.
• Knowledge of data masking, synthetic data generation, and compliance tagging.
• Experience working in cross-vendor, multi-team environments with RACI-based governance.

PREFERRED QUALIFICATIONS

• Experience in financial services or regulated industries.
• Exposure to observability tools such as Allure, Report Portal, and Grafana.
• Familiarity with test automation frameworks (Playwright, Appium, Karate, REST Instance).
• Understanding of RBAC and audit trail implementation for compliance readiness.

EDUCATION

Bachelor’s degree in computer science, Information Systems, or related technical field (or equivalent experience).

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