Data Conversion Specialist

California Department of Motor Vehicles; California (MO); On-site; USD 85,000 - 110,000; Full time

Job summary

California Department of Motor Vehicles is seeking a Data Conversion Specialist to lead the legacy data migration for the Enterprise Modernization Project. You will drive mapping, transformation, intake, cleansing, extraction, and validation to bolster data integrity and reduce migration risk.

You will engineer data pipelines, staging areas, and automated transformations while coordinating with technical teams and stakeholders to meet project timelines and regulatory requirements.

Qualifications

• 2+ years building enterprise dashboards and analytics.
• 2+ years working with complex enterprise data models
• 3+ years designing and optimizing large-scale ETL pipelines
• 3+ years implementing data quality, metadata, and governance frameworks
• 3+ years leading technical teams through data conversion and reporting
• Strong verbal, written, and presentation communication skills
• Highly organized; able to manage multiple priorities effectively
• Positive, motivated, proactive work style
• Strong interpersonal and leadership skills; builds effective relationships

Responsibilities

• Lead and manage all legacy data conversion and migration activities for the Enterprise Modernization Project.
• Develop and implement strategies for data mapping, transformation, intake, cleansing, extraction, and validation.
• Engineer and maintain data pipelines, staging environments, verification routines, and automated transformation processes.
• Identify and resolve data conversion defects, discrepancies, and system impacts across migration workflows.
• Coordinate with technical teams and stakeholders to resolve data conflicts and ensure alignment with project timelines.
• Establish and enforce data quality standards, reconciliation procedures, and defect-tracking processes.
• Support DXP data intake, validation, mining, modeling, visualization, and technical analysis.
• Consult on data mapping definitions, legacy schema translation, naming conventions, and secure data transfer policies.
• Collaborate with data governance groups and ensure compliance with departmental security standards and state regulations.
• Maintain comprehensive documentation of conversion procedures, transformation rules, data lineage, and defect resolution activities.

Job description

This position is located at the DMV Headquarters in Sacramento, CA

Final Filing Date: 8/26/2026

About the Role:

As the Data Conversion Specialist, you’ll lead the DMV’s legacy migration effort, ensuring critical information moves seamlessly into modern systems. You’ll drive key strategies for data mapping, transformation, intake, cleansing, extraction, and validation—strengthening integrity and minimizing migration risk. Your expertise keeps mission‑critical services running and helps build a secure, future‑ready foundation for the department.

What You Will Do

• Lead and manage all legacy data conversion and migration activities for the Enterprise Modernization Project.
• Develop and implement strategies for data mapping, transformation, intake, cleansing, extraction, and validation.
• Engineer and maintain data pipelines, staging environments, verification routines, and automated transformation processes.
• Identify and resolve data conversion defects, discrepancies, and system impacts across migration workflows.
• Coordinate with technical teams and stakeholders to resolve data conflicts and ensure alignment with project timelines.
• Establish and enforce data quality standards, reconciliation procedures, and defect‑tracking processes.
• Support DXP data intake, validation, mining, modeling, visualization, and technical analysis.
• Consult on data mapping definitions, legacy schema translation, naming conventions, and secure data transfer policies.
• Collaborate with data governance groups and ensure compliance with departmental security standards and state regulations.
• Maintain comprehensive documentation of conversion procedures, transformation rules, data lineage, and defect resolution activities.

Desirable Qualifications

• 2+ years building enterprise dashboards and analytics
• 2+ years working with complex enterprise data models
• 3+ years designing and optimizing large‑scale ETL pipelines
• 3+ years implementing data quality, metadata, and governance frameworks
• 3+ years leading technical teams through data conversion and reporting
• Strong verbal, written, and presentation communication skills
• Highly organized; able to manage multiple priorities effectively
• Positive, motivated, proactive work style
• Strong interpersonal and leadership skills; builds effective relationships

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