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Data Conversion Engineer Jobs in California (NOW HIRING)

Corelation Inc

Conversion Developer I

San Diego, CA · On-site

$72K - $85K/yr

To analyze, develop, document, code, test and convert client data into Keystone using the ... Required to complete the conversion of a smaller client database less than $500 million in asset ...

Corelation, Inc.

Conversion Developer I

San Diego, CA · On-site

$72K - $85K/yr

To analyze, develop, document, code, test and convert client data into Keystone using the ... Required to complete the conversion of a smaller client database less than $500 million in asset ...

Conversion

Backend Engineer (Infra)

San Francisco, CA · On-site

Job Summary : Conversion is an AI-native marketing automation platform for modern software ... Go for backend services, Kafka for large-scale data streaming, Temporal for durable job execution ...

Conversion

Backend Engineer (Infra)

San Francisco, CA · On-site

$200K - $250K/yr

About Us Conversion is the AI-native marketing automation platform for modern software companies ... Our platform needs to handle terabytes of data syncs per customer with the utmost reliability ...

Avani Technology Solutions, Inc.

ETL Developer

Sacramento, CA · On-site

$54.50 - $71.25/hr

ETL Talend Developer Sacramento, CA 12 Months + Right to Hire W2 only, no C2C at this moment ... Developing ETL and data conversion technical specifications for integrations related to business ...

1 point system

Data Science Engineer

Century City, CA · On-site

The work they are doing is a data conversion project where one team is building a new financial ... Partner with engineering teams to develop technology infrastructure * Build and refine models to ...

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Data Conversion Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do data conversion engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for data conversion engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Conversion Engineer, and why are they important?

To thrive as a Data Conversion Engineer, you need expertise in data mapping, ETL (Extract, Transform, Load) processes, and a solid understanding of database structures, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, Talend, Informatica, or SSIS, as well as knowledge of data migration methodologies, is essential. Strong problem-solving skills, attention to detail, and clear communication are crucial soft skills for identifying conversion issues and collaborating with stakeholders. These skills ensure accurate, efficient data migration and integration, minimizing errors and ensuring business continuity.

What are some common challenges faced by Data Conversion Engineers during large-scale migration projects?

Data Conversion Engineers often encounter challenges such as handling inconsistent source data, managing tight project deadlines, and ensuring minimal data loss or corruption during migration. Collaborating closely with database administrators, business analysts, and end users is critical to clarify data requirements and resolve ambiguities in legacy systems. Robust testing and validation processes are essential to guarantee data accuracy and integrity throughout the conversion, making attention to detail and strong communication skills valuable assets in this role.

What are Data Conversion Engineers?

Data Conversion Engineers are professionals who specialize in transferring data from one format, system, or storage type to another. They play a critical role during system upgrades, migrations, or consolidations by ensuring that data is accurately and efficiently converted without loss or corruption. Their responsibilities often include analyzing existing data structures, mapping data fields, developing conversion scripts or tools, testing the converted data, and troubleshooting issues that arise during the process. Data Conversion Engineers typically work closely with database administrators, software developers, and project managers to ensure seamless transitions between systems.

What is the difference between Data Conversion Engineer vs Data Analyst?

AspectData Conversion EngineerData Analyst
Primary FocusConverting and transforming data between formats and systemsAnalyzing data to generate insights and reports
Skills & CertificationsSQL, ETL tools, scripting languages, data modelingExcel, SQL, data visualization, statistical analysis
Work EnvironmentData warehouses, ETL pipelines, database systemsBusiness intelligence platforms, dashboards, reporting tools
Industry UsageIT, software development, data managementMarketing, finance, healthcare, business analysis

While both roles handle data, Data Conversion Engineers focus on transforming data formats and ensuring seamless data flow between systems. Data Analysts interpret data to support decision-making. Understanding these differences helps in choosing the right career path or job search focus.

What are popular job titles related to Data Conversion Engineer jobs in California? For Data Conversion Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Conversion Engineer jobs in California look for? The top searched job categories for Data Conversion Engineer jobs in California are:
Data Conversion Engineer jobs near you
Data Conversion Analyst

Data Conversion Analyst

West Advanced Technologies (WATI)

West Sacramento, CA • On-site

Full-time

Posted 12 days ago

Job description

Data Conversion Analyst
West Sacramento, CA
12+ months
Mandatory Qualifications:
At least five (5) years within the last eight (8) years of experience programming in a Natural/ADABAS development environment.
At least five (5) years of experience designing, developing, debugging and supporting complex data conversion processes using SQL Server.
At least five (5) years of experience demonstrating understanding of SDLC methodologies specific to requirements elicitation and analysis, analyzing business processes, business process modeling, preparing business use cases, logical data modeling, and design reports.
Education: Bachelor's Degree in information technology.
Desirable Qualifications:
Experience with a Natural Construct technical environment.
Experience with the conversion of data from ADABAS to SQL Server.
Experience with and knowledge of Job Control Language (JCL).
Five (5) or more years of demonstrated experience working as a Natural developer in a pension or financial system.
Regards
Naresh Damagalla
West Advanced Technologies, Inc
E: naresh.d@wati.com

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