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Data Migration Jobs in California (NOW HIRING)

Sr Data Analyst

Moorpark, CA · On-site

$50 - $80/hr

Execute data migration tasks, including data extraction, transformation, and loading, while maintaining data integrity. * Use SQL to query, analyze, and validate data across multiple systems and data ...

Data Architect

Los Angeles, CA · On-site

$68.75 - $88.25/hr

Data Architect who has experience with data transfer, data migration, and data conversion Location : Los Angeles, CA Duration : 4 Months Plus with potential to renew. Work onsite 4 days a week IT Dat ...

Develop comprehensive test strategies, plans, and scripts for data migration, integration, and transformation. * Must have experience managing large scale Data modernization initiative and ...

AWS Data Architect

Gardena, CA · On-site

$65.25 - $84/hr

Toorance CA Onsite Duration: Long Term Developing CDM (Conceptual Data Model), LDM (Logical Data Model), PDM (Physical Data Model), data modeling, integration, data migration, and ETL development on ...

Analyze data to determine requirements for a migration and updating of user data from one set of back-end systems to another, to facilitate an international site launch. * Iteratively document ...

Showing results 21-40

Data Migration information

See California salary details

$15

$41

$66

How much do data migration jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data migration in California is $41.84, according to ZipRecruiter salary data. Most workers in this role earn between $29.42 and $50.14 per hour, depending on experience, location, and employer.

What does a data migration do?

A data migration involves transferring data from one system, storage, or format to another, often during system upgrades or consolidations. Data migration specialists plan, execute, and verify the process to ensure data integrity and minimal downtime, frequently using tools like ETL (Extract, Transform, Load) software. The role requires attention to detail, knowledge of databases, and adherence to security standards.

What are the key skills and qualifications needed to thrive in the data migration position, and why are they important?

To thrive in Data Migration, you need strong expertise in database management, data mapping, and ETL (Extract, Transform, Load) processes, often backed by a degree in computer science or a related field. Familiarity with tools like SQL, Microsoft SQL Server, Oracle, Informatica, or similar platforms, as well as certifications in data management or cloud technologies, is highly valued. Excellent problem-solving skills, attention to detail, and clear communication are key soft skills for success in this role. These capabilities are critical to ensuring data integrity, minimizing downtime, and facilitating smooth transitions during system upgrades or technology changes.

What are the typical challenges faced by data migration professionals, and how can they be addressed?

Data Migration professionals often encounter challenges like data inconsistencies, legacy system incompatibility, and unanticipated downtime during migration projects. Careful planning, thorough testing, and strong documentation are essential to mitigate these risks. Working collaboratively with IT, business analysts, and end users helps anticipate potential issues and ensures all data requirements are met. A proactive approach to troubleshooting and continuous communication with stakeholders helps achieve successful, error-free migrations. As a Data Migration expert, you'll frequently navigate these situations to deliver smooth transitions for organizations undergoing digital transformation.

What are data migration jobs?

Data migration jobs involve transferring data from one system, format, or storage environment to another, often requiring knowledge of databases, data structures, and migration tools. These roles typically require skills in data analysis, scripting, and familiarity with database management systems to ensure accurate and secure data transfer.

What is a data migration?

A Data Migration job involves transferring data from one system, format, or storage location to another while ensuring its integrity, accuracy, and security. This process is common during system upgrades, cloud migrations, or database consolidations. Data migration specialists analyze source and target systems, map data fields, and implement validation procedures to prevent data loss or corruption. They may also clean and transform data to meet new system requirements. Effective data migration ensures minimal downtime and seamless transition for businesses.

What are the most commonly searched types of Data Migration jobs in California? The most popular types of Data Migration jobs in California are:
What job categories do people searching Data Migration jobs in California look for? The top searched job categories for Data Migration jobs in California are:
What cities in California are hiring for Data Migration jobs? Cities in California with the most Data Migration job openings:
Infographic showing various Data Migration job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,027 per year, or $41.8 per hour.

Full-time

Re-posted 3 days ago


University Of California San Francisco rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

226th of 615 rated colleges and universities


Job description

Employment Duration: 6 months

This position is primarily remote; however, occasional on-site presence may be required.

The ERP Data Migration Analyst plays a critical role in the successful migration of legacy supply chain data to Oracle Cloud. This position bridges the gap between raw technical data and business utility and is responsible for the end-to-end integrity of master data, including vendor, item, and location files. The role ensures data is accurately extracted, transformed, and validated for use within the new ERP environment.

About UCSF

The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.

Pride Values

UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values.

In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available here.

Join us to find a rewarding career contributing to improving healthcare worldwide.

Equal Employment Opportunity

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

Salary Information

The final salary and offer components are subject to additional approvals based on UC policy.

Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.

To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

Required Qualifications

  • Bachelor's degree in Information Systems, Business Administration, or a related field, or an equivalent combination of education and relevant experience.
  • Direct experience working with vendors, suppliers, or internal business stakeholders to collect, validate, or resolve data issues.
  • 2-4 years of experience in Master Data Management (MDM), Supply Chain systems (MMIS), or data analysis.
  • Advanced Excel proficiency, including experience with VLOOKUP/XLOOKUP, PivotTables, and data parsing/cleaning techniques.
  • Experience working within an ERP environment (e.g., Oracle, SAP, Infor, PeopleSoft, Allscripts), preferably supporting a system migration or implementation.
  • Strong negotiation and stakeholder management skills with the ability to collaborate across teams.
  • Strong analytical and critical thinking skills, with demonstrated ability to design and improve business processes for managing data throughout its lifecycle.
  • Highly self-motivated and intellectually curious, with the ability to work independently and proactively identify opportunities for improvement.


     

Preferred Qualifications

  • Experience with Power Query or Macros for handling large text file exports.
  • Data Extraction & Integration: Independently extract and integrate complex datasets from multiple legacy systems and disparate text file formats to support migration workstreams.
  • ETL & Data Transformation: Utilize advanced Excel functions to clean, map, and transform raw data into upload-ready formats for Oracle Cloud.
  • Database Integrity & Maintenance: Perform regular audits and status reporting to ensure database updates are accurate and consistent with business rules.
  • Issue Resolution: Identify, troubleshoot, and resolve data anomalies and quality issues using error detection and process improvement strategies.
  • Stakeholder Collaboration: Serve as a technical point of contact for data-related inquiries, working closely with Technology Operations and Supply Chain leadership to maintain project timelines.
  • Compliance & Standards: Enforce master data management policies and standards to ensure long-term data health following migration.

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