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Data Conversion Engineer Jobs in California (NOW HIRING)

Redolent, Inc.

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

Redolent, Inc.

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

Eight Sleep

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

The Data Engineer will design and build the data infrastructure that supports decision-making for ... drive conversion and retention across global markets • Enable data-driven scaling through ...

Discord Inc.

Senior Data Engineer, Ads

San Francisco, CA · On-site

$124K - $169K/yr

Build conversion measurement pipelines and integrate third-party attribution data - including ... Mentor engineers through technical challenges, code and design reviews, and ownership of complex ...

Discord

Senior Data Engineer, Ads

San Francisco, CA · On-site

$124K - $169K/yr

Build conversion measurement pipelines and integrate third-party attribution data - including ... Mentor engineers through technical challenges, code and design reviews, and ownership of complex ...

Sayva Solutions

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 ...

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All JobsData Conversion Engineer JobsData Conversion Engineer Jobs in California

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 Aug 20, 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 is a data conversion engineer?

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?

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 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
Infographic showing various Data Conversion Engineer job openings in California as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 80% In-person, 4% Hybrid, and 16% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Staff Robotics System Safety Engineer

Rhoda AI

Mountain View, CA • On-site

$120 - $160/hr

Other

Re-posted 28 days ago

Job description

At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $450M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.

Job Duties
  • Develop safety-related features of RhodavAI humanoid robot
  • Derive by analysis and/or empirically requirements related to stopping, collision avoidance, collision sensing, motor control and diagnostics
  • Define fail-safe, fail-degraded and fail-operational strategies and required architectures
  • Drive requirements from inception to approval to implementation to verification
  • Invent, implement and use custom instrumentation and verification equipment for the purpose of deriving, verifying requirements and developing diagnostics strategies
  • Hands‑on support of System Integration and Application Engineering teams
  • Work closely with Mechanical, Electrical, Software and Applications teams
Requirements
  • 10+ years mass‑produced electromechanical product development experience
  • B.S. in Robotics, Mechatronics, Electrical Engineering or Computer Science
  • Data collection and analysis methodologies - data acquisition and instrumentation, data conversion and analysis using Python or statistical tools, data presentation
  • Proven experience in systems safety engineering, including HARA, DFMEA, FTA, STPA and safety case development for complex electromechanical systems with significant robotic aspect
  • Proven track record of complex safety‑critical product development from inception to mass production, including passing through safety certification
  • Proven experience deriving safety requirements for a robotic system through analysis and experimentation
  • Proven experience in developing test cases with fault injection, instrumenting and executing those test cases, analyzing data and presenting to cross‑functional teams to argue for a passing result or a pivot in design or test methodology
  • Proven experience working in at least one of the three basic disciplines: Electrical Engineering, Mechanical Engineering, Software Engineering
Nice to have
  • Certification from TUV Rheinland or similar in Functional Safety (IEC 61508 or Machinery)
  • Experience in AI safety for Physical AI
  • In-depth understanding of autonomy sensor methods - vision, TOF, laser, etc
  • In-depth understanding of motor control
  • In-depth understanding of safety‑critical embedded systems electronics, firmware and software
  • Significant experience developing, characterizing or troubleshooting various electric and pneumatic actuators
  • Experience designing and deploying robotic solutions for industrial manufacturing
  • Experience with robotics in more than one industry, among surgical, aerospace, automotive, mining, earth-moving, agricultural, home and commercial service robots
  • M.S. Engineering degree
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