Test Data Engineer

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is an opportunity to contribute to technology initiatives in a collaborative environment with opportunities for professional growth.

Job Title: Test Data Engineer

Location: Remote

Position Type: Full-time, Direct W2 - [Not open to C2C or 1099]

Salary Range: $115,000–$165,000 Annually

Experience Required: 5+ years

Sponsorship: U.S. Citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply. Bright Vision Technologies is unable to sponsor new H-1B visa petitions for this position.

Job Summary

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.

Key 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.

Required Qualifications

• Experience Required: 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.

Preferred Qualifications

• 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.

How to Apply

Would you like to know more about this opportunity? For immediate consideration, please send your resume to View email address on aiapply.co or contact Jennifer at View phone number on aiapply.co. Learn more about Bright Vision Technologies at

Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.