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Data Conversion Engineer Jobs in California (NOW HIRING)

Conversion

GTM Engineer

San Francisco, CA · On-site

$150K - $200K/yr

About Us Conversion is building the AI-native marketing automation platform for modern software ... Some days you'll be creating large scale data pipelines while other days you'll be working on ...

OpenArt

Growth Data Engineer

San Francisco, CA · On-site

$150K - $180K/yr

Set up and maintain conversion events and schemas across platforms * Ensure consistent event ... data engineering, oranalytics engineering * Strong hands-on experience with: * GTM, pixels ...

Embedding VC

Growth Data Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

Set up and maintain conversion events and schemas across platforms * Ensure consistent event ... data engineering, or analytics engineering * Strong hands-on experience with: * GTM, pixels ...

RecruitTalent LLC.

ServiceNow Developer

San Jose, CA · On-site

$60 - $70/hr

Support data conversion tasks: mapping, transformation, imports, and validation. * Troubleshoot and ... ServiceNow Certified Application Developer (CAD). * ServiceNow Certified Implementation Specialist ...

Redolent, Inc.

Data Engineer

Sunnyvale, CA · On-site

$136.50K - $163.90K/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

$136.50K - $163.90K/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

Redolent, Inc.

Data Engineer

Sunnyvale, CA · On-site

$136.50K - $163.90K/yr

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

Noblesoft Technologies

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 ...

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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 May 31, 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
Staff Software Engineer, Conversion Data Privacy

Staff Software Engineer, Conversion Data Privacy

Pinterest

San Francisco, CA • On-site, Remote

Full-time

Posted 22 days ago

Job description

About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
Team & Mission
The Privacy & Conversion Data team is responsible for how the company safely and compliantly uses conversion data to power monetization. We build and operate the core privacy infrastructure behind ads reporting and optimization, including controlled data environments, fine-grained access controls, centralized privacy rules enforcement, and de-identification pipelines for conversion data. Our mission is to make conversion data privacy-preserving by default-centralized, de-identified, auditable, and easy for teams to use, while maintaining high utility for advertisers and staying ahead of an evolving global regulatory landscape.
Role Summary
We're seeking a Staff Engineer to lead the architecture and technical direction for the conversion data privacy platform, spanning both core Conversion Data systems and de-identification for ads reporting. You'll own the end-to-end design and evolution of privacy-critical pipelines and services, partner closely with Product, Data Science, Legal, and infrastructure teams, and set the technical bar for how we use conversion data safely at scale.
What you'll do:
  • Lead the technical strategy and architecture for conversion data privacy across access controls, de-identification, deletion, and privacy rules enforcement, driving toward a centralized, de-identified-by-default, automated privacy platform for monetization.
  • Design and evolve core privacy infrastructure including controlled environments for sensitive data, fine-grained authorization and policy enforcement, and a central policy repository that consistently governs access across major data platforms and query engines.
  • Own de-identification pipelines for ads reporting end-to-end-from separating sensitive and non-sensitive data, applying de-identification techniques and transformations, and generating privacy-preserving datasets, to validating data utility and feeding reporting and analytics surfaces.
  • Build and improve privacy frameworks and tooling (for both online and offline workflows) that make safe, compliant conversion data usage simple and self-service for downstream teams, reducing onboarding friction for new datasets, restrictions, and use cases.
  • Drive operational excellence and compliance by defining SLAs, building robust monitoring and alerting (e.g., de-identification quality, opt-out metrics, data leakages), leading incident response, and developing performant deletion and leakage-handling workflows that meet regulatory and audit requirements.
  • Partner cross-functionally with ads, data, product, legal, and infrastructure stakeholders to translate legal/privacy requirements into technical designs, make clear trade-offs between privacy and utility, and drive alignment on roadmaps, launches, and policy changes that impact advertisers and users.
  • Mentor and uplevel engineers across multiple teams, lead critical design and code reviews in privacy-sensitive areas, and establish best practices and documentation for privacy-by-design, de-identification, and large-scale data systems.

What we're looking for:
  • BS+ in Computer Science (or related field) or equivalent practical experience.
  • 8+ years of professional software engineering experience, with a focus on large-scale data systems or distributed systems.
  • Strong proficiency building and operating data pipelines and services using Java/Scala/Kotlin or Python, plus SQL; experience with modern big data ecosystems is a plus.
  • Experience designing secure, reliable systems and APIs, with solid grounding in data modeling, access control, and performance optimization.
  • Meaningful experience in at least one of: privacy-preserving data systems (e.g., de-identification, k-anonymity), ads measurement/attribution, or large-scale analytics/experimentation platforms.
  • Proven ability to drive cross-team technical initiatives from design through rollout, working closely with product, data science, and non-engineering partners (e.g., Legal, Compliance).
  • Strong communication and leadership skills, with a track record of mentoring engineers, raising engineering standards, and making sound decisions in ambiguous, high-impact problem spaces.

In-Office Requirement Statement:
  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

Relocation Statement:
  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE
#LI-KK6
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$177,185-$364,795 USD
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

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