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Data Core Systems Jobs in California (NOW HIRING)

Zoo

Senior Systems Software Engineer

Los Angeles, CA · On-site +1

$145K - $195K/yr

We think you'll thrive on our team if you're: * Curious at your core, with an eagerness to learn ... Architect and maintain infrastructure components (e.g., distributed services, data pipelines ...

Bloom Energy

Sr. Staff Data Scientist

San Jose, CA · On-site

Experience working with complex systems involving sensors, instrumentation, or process data Core Skills * Process modeling & engineering fundamentals * First-principles modeling, scale-up, and root ...

Career Soft Solutions Inc

Senior iOS Developer

Sunnyvale, CA · On-site

$71.50 - $92.50/hr

Experience with Combine, Core Data, Core Animation, AV Foundation, Core Bluetooth, or other Apple frameworks. * Experience with CI/CD pipelines and automated build systems. * Knowledge of Agile/Scrum ...

Bloom Energy

Sr. Staff Data Scientist

San Jose, CA · On-site

Experience working with complex systems involving sensors, instrumentation, or process data Core Skills * Process modeling & engineering fundamentals * First-principles modeling, scale-up, and root ...

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Showing results 1-20

All JobsData Core Systems JobsData Core Systems Jobs in California

Data Core Systems information

See California salary details

$45.4K

$110.5K

$194.4K

How much do data core systems jobs pay per year?

As of Jul 18, 2026, the average yearly pay for data core systems in California is $110,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $134,200.00 per year, depending on experience, location, and employer.

What is the difference between Data Core Systems vs Data Analyst?

AspectData Core SystemsData Analyst
Required CredentialsBachelor's in Computer Science, Data Management certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentIT departments, data infrastructure teamsBusiness units, analytics teams
Employer & Industry UsageTech companies, data-driven organizationsFinance, marketing, healthcare sectors

Data Core Systems professionals focus on managing and maintaining data infrastructure, ensuring data integrity and system performance. Data Analysts interpret data to generate insights and support decision-making. While both roles work with data, Data Core Systems specialists handle the technical backend, whereas Data Analysts focus on analysis and reporting.

What are Data Core Systems?

Data Core Systems refer to the foundational software and hardware infrastructure responsible for managing, storing, and processing large volumes of data within an organization. These systems ensure data is accessible, secure, and efficiently handled for various business operations and analytics. They often include databases, data warehouses, storage solutions, and data management tools, forming the backbone of enterprise data operations. Data Core Systems play a crucial role in enabling data-driven decision-making and supporting digital transformation initiatives.

What are some common challenges faced by professionals working in Data Core Systems roles, and how are they typically addressed?

Professionals in Data Core Systems often encounter challenges such as ensuring data integrity across complex, large-scale databases and coordinating with multiple teams to implement system updates without disrupting ongoing operations. Addressing these challenges usually involves robust change management processes, regular system audits, and close collaboration with software engineers, database administrators, and security teams. Staying current with evolving database technologies and adopting automated monitoring tools also help maintain optimal system performance and reliability. Open communication and thorough documentation are key practices for minimizing errors and streamlining troubleshooting.

What are the key skills and qualifications needed to thrive as a Data Core Systems Specialist, and why are they important?

To thrive as a Data Core Systems Specialist, you need strong expertise in database management, data architecture, and systems integration, typically supported by a degree in computer science or a related field. Familiarity with SQL, cloud platforms (like AWS or Azure), and data warehousing tools, along with relevant certifications (such as AWS Certified Data Analytics or Microsoft Certified: Azure Data Engineer), is often required. Analytical thinking, problem-solving, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex data challenges. These competencies are crucial for ensuring the reliability, scalability, and security of organizational data infrastructure.
What are popular job titles related to Data Core Systems jobs in California? For Data Core Systems jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Core Systems jobs in California look for? The top searched job categories for Data Core Systems jobs in California are:
Data Core Systems jobs near you
Infographic showing various Data Core Systems job openings in California as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $110,529 per year, or $53.1 per hour.

Member of Technical Staff - Senior Engineer, Data Infrastructure & Data Operations

Walden Robotics

San Francisco, CA • On-site

$255K - $340K/yr

Full-time

Retirement, PTO

Posted 5 days ago

Job description

Position Summary:
You'll build and scale the data foundation alongside the world-class team training our robot models-the systems that move our multimodal data (robot sensor and action logs, plus web-scale image, video, and text) into the models they build. As a senior IC, you'll own the architecture and reliability at the core of that platform-ingestion, storage, transformation, and the data operations that keep quality high at scale-working hand in hand with the teams who produce and depend on that data.
Core Responsibilities:
  • Data Pipelines: Design and scale high-throughput pipelines for petabyte-scale multimodal data.
  • Platform Ownership: Keep the platform the ML teams build on reliable, fast, and cost-efficient.
  • Quality & Compliance: Implement the platform-level controls for data quality, lineage, and compliance, built to enforce the quality standards the annotation and ML teams define.
  • Discoverability: Build tooling that lets ML teams find, understand, and trust their data.

Required Qualifications:
  • Data / Distributed Systems: Strong background with production systems at real scale.
  • Data Infrastructure Development: Extensive experience developing cloud-based data infrastructure for automated data pipelines.
  • Platform Ownership: Experience owning a data platform's reliability and cost over time.
  • ML Adjacency: Comfort operating close to ML teams and translating their needs into durable infrastructure.
  • Technical Judgment: The ability to lead a workstream and make high-leverage architectural decisions.

Preferred Qualifications:
  • Multimodal or robotics/sensor data experience.
  • Familiarity with compliance and KPI-tracking requirements in customer-facing deployments.
  • Experience with data-lineage, catalog, or governance systems.

Walden Robotics offers a competitive total compensation program, including salary, annual cash bonus, company equity, company-subsidized insurance programs, 401(k) with company match, flexible PTO, daily lunch, and other benefits. The pay ranges noted on our posts is for salary only.
Walden Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to hello@waldenrobotics.com.
Walden Robotics participates in E-Verify. If you receive an offer of employment from Walden, you will need to go through the E-Verify process of digital verification of your employment authorization documents as provided on the Form I-9. Participation in E-Verify does not limit your right to work and verification will only be completed after you become
At Walden Robotics, we envision a world where general-purpose robots dramatically improve the quality of life for all people-supporting us at home, at work, in factories, on farms, and beyond. To accomplish this, we are building a team of exceptional professionals who combine world-class technical skills with creative vision, grounded in humility and collaboration.
The pay range for this role is:
255,000 - 340,000 USD per year (BOS)
255,000 - 340,000 USD per year (SF)

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