Test Data Engineer

Bright Vision Technologies • Fremont, CA

6d • $115,000 - $165,000 • Remote

About The Position

Bright Vision Technologies is seeking a Test Data Engineer to design and maintain reliable test-data solutions for application, integration, and analytics testing. The role will build repeatable data provisioning and refresh processes, create representative synthetic datasets, support data masking and quality checks, and help engineering teams obtain accurate test data across development and test environments.

This is a remote, full-time, direct W2 position. The stated salary range is $115,000–$165,000 annually. The position is not open to C2C or 1099 arrangements. Applicants may include U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates; the company cannot sponsor new H-1B visa petitions for this position.

Requirements

• Typically 5+ years in data engineering, database development, or test-data management; align with the approved requisition.
• Strong SQL skills and experience with relational databases such as SQL Server, PostgreSQL, or Oracle.
• Programming or scripting experience with Python, Java, or a comparable language for data automation.
• Experience with data profiling, transformation, validation, referential integrity, and dataset management.
• Understanding of test-data lifecycle practices, data masking, synthetic data, and controlled access procedures.
• Ability to automate repeatable data workflows and integrate them with testing or CI/CD processes.
• Strong analytical, troubleshooting, documentation, and cross-team communication skills.
• Experience working in iterative software delivery teams, participating in planning, defect triage, and release validation as appropriate to the assignment.

Nice To Haves

• Experience with cloud data platforms, data warehouses, or distributed data processing tools.
• Familiarity with test-data management platforms and automated data-generation utilities.
• Knowledge of privacy-by-design principles and regulated data-handling requirements.
• Relevant database, data engineering, or cloud certifications.

Responsibilities

• Design and implement reusable test-data provisioning, generation, refresh, and cleanup processes.
• Build scripts and utilities to create representative datasets for functional, integration, and performance testing.
• Work with relational and non-relational databases to profile, transform, validate, and manage test data.
• Implement masking, tokenization, and synthetic-data techniques in accordance with approved privacy controls.
• Collaborate with QA, developers, data teams, and environment owners to resolve data dependencies and improve test readiness.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed