Data Quality Engineer

Bright Vision Technologies • Fremont, CA

3d • $115,000 - $165,000 • Remote

About The Position

Bright Vision Technologies is seeking a Data Quality Engineer to design, build, validate, and support data solutions that make trusted information available for enterprise operations, analytics, and decision-making. The work includes data integration, modeling, quality, performance, and governance. The successful candidate will apply practical expertise in SQL, data profiling, validation rules, reconciliation, metadata, data lineage, and quality monitoring; work with cross-functional teams; and contribute to reliable, maintainable solutions through the delivery lifecycle.

This is a full-time, direct W-2 position performed remotely. The stated annual salary range is $115,000–$165,000. The employer does not accept C2C or 1099 candidates and cannot sponsor new H-1B visa petitions for this position.

Requirements

• Typically 4+ years in a related professional role; the exact threshold must match the approved requisition.
• Practical experience with SQL, data profiling, validation rules, reconciliation, metadata, data lineage, and quality monitoring.
• Professional experience in data engineering, analytics, data management, or the platform area relevant to the role.
• Strong SQL skills and practical experience with the data technologies identified for the position.
• Understanding of data modeling, ETL/ELT, data validation, and integration patterns.
• Experience with data quality, security, access controls, and production support.
• Ability to translate business requirements into accurate and maintainable data solutions.
• Strong analytical, documentation, and stakeholder communication skills.

Nice To Haves

• Additional hands-on depth in SQL, data profiling, validation rules, reconciliation, metadata, data lineage, and quality monitoring.
• Experience with cloud services, automation, and modern delivery practices relevant to the project.
• Familiarity with secure development, accessibility, governance, or regulatory requirements where applicable.
• Relevant professional certifications or advanced training in the role’s technology area.

Responsibilities

• Develop and maintain data pipelines, transformations, reports, models, or platform components as required by the role.
• Translate source-to-target and business requirements into validated technical data solutions.
• Implement data quality checks, access controls, monitoring, and failure-recovery procedures.
• Tune SQL, processing jobs, models, dashboards, or platform resources for performance and cost.
• Document data definitions, lineage, operational procedures, and technical decisions.

What This Job Offers

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