1

Data Conversion Engineer Jobs in California (NOW HIRING)

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Java and Spark expertise, Data analysis, GCP cloud * Expected Overtime per month : 0 * Working ... Type of assignment : Full Time * Eligible for Conversion? : No

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

... computer programming, software development or related 2. 3+ years of solid Java and 2+ years ... Type of assignment : Full Time * Eligible for Conversion? : No

Senior Hardware Engineer

Carlsbad, CA · On-site

$155K - $246K/yr

Evaluate and troubleshoot mixed-signal and analog circuitry, including data conversion, clocking ... Collaborate with engineering, manufacturing, operations, and program teams to drive effective ...

Data Engineer

San Diego, CA · On-site

$122K - $141K/yr

The Data Engineer role is responsible for building, optimizing, and maintaining data pipelines ... the digital platform conversion project. * Performs the implementation, maintenance, and ...

New

Associate Data Engineer

Redwood City, CA · On-site

$140K - $168K/yr

... conversion and implementation work. • Work as a project leader, as needed, for projects of moderate complexity. • Serve as a technical resource for all Data Engineering applications. • Compare ...

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

... computer programming, software development or related2. 3+ years of solid Java and 2+ years ... Type of assignment : Full Time * Eligible for Conversion? : No

SAP PLM Consultant

Foster City, CA · On-site

$77.75 - $101.50/hr

ECM Engineering Change Management, Product Versioning, Alternate for BOM, Master Recipe, DIR. c ... conversion from exits, Data conversion using (BODS). 10. DMS config, PPM documents, integration ...

next page

Showing results 1-20

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 Jul 10, 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 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 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 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 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 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 Engineer

Data Engineer

Redolent, Inc.

Sunnyvale, CA • On-site

$136K - $163K/yr

Contractor

Posted 4 days ago


Job description

Description:
Designs, develops, and implements Hadoop eco-system based applications to support business requirements. Follows approved life cycle methodologies, creates design documents, and performs program coding and testing. Resolves technical issues through debugging, research, and investigation. Experience/Skills Required:1. Bachelor's degree in Computer Science, Information Technology, or related field and 5 years experience in computer programming, software development or related2. 3+ years of solid Java and 2+ years experience in design, implementation, and support of solutions big data solution in Hadoop using Hive, Spark, Drill, Impala, HBase3. Hands on experience with Unix, GCP and other relational databases. Experience with @Scale a plus.4. Strong communication and problem-solving skills
Additional Details
  • Additional Job Details : Java and Spark expertise, Data analysis, GCP cloud
  • Expected Overtime per month : 0
  • Working Hours : 40
  • Is there potential for this assignment to be extended beyond 13 weeks? : Yes
  • Type of assignment : Full Time
  • Eligible for Conversion? : No

Redolent logo

About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

Social media