Remote Test Data Engineer: Data Provisioning & Testing

Bright Vision Technologies

Fremont (CA)

Remote

USD 115,000 - 165,000

Full time

3 days ago
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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.

Qualifications

  • Typically 5+ years in data engineering, database development, or test-data management.
  • Strong SQL skills with SQL Server, PostgreSQL, or Oracle.
  • Programming or scripting in Python or Java for data automation.
  • Experience in data profiling, transformation, validation, and dataset management.
  • Understanding of test-data lifecycle, masking, synthetic data, and controlled access.
  • Ability to automate data workflows and integrate with CI/CD processes.
  • Strong analytical, troubleshooting, documentation, and cross-team communication.
  • Experience in iterative software delivery teams and release validation.

Responsibilities

  • Design and implement reusable test-data provisioning, generation, refresh, and cleanup.
  • 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 under privacy controls.
  • Collaborate with QA, developers, data teams, and environment owners to resolve data dependencies and improve test readiness.

Skills

SQL
Python
Java
Data profiling
Data masking
CI/CD
Test-data management
Data analysis

Tools

SQL Server
PostgreSQL
Oracle

Job description

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.

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