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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 ...

Monaco

Data Platform Engineer

San Francisco, CA · On-site

$200K - $400K/yr

You'll have the chance to both scale our core systems and build new features from 0 to 1. We've ... The Role We're looking for a Data Platform Engineer to help build Monaco's data and ML platform ...

SpaceXAI

Software Engineer - Data Platform

Palo Alto, CA

$180K - $440K/yr

The Data Platform team builds and operates the infrastructure responsible for all large-scale data ... We own and manage core systems including Apache Kafka, HDFS, Spark, Flink, and Trino, enabling real ...

MLabs Ltd

Distributed Systems Engineer

San Francisco, CA · On-site

$180 - $300/hr

... data ingestion, low-latency execution, and auction mechanisms. Key Responsibilities * System Architecture: Design and implement the core system architecture for a real-time, high-stakes distributed ...

Waymo

Sr. Staff TLM, Fleet Orchestration Core

San Diego, CA · On-site

$137K - $186K/yr

Oversee the architecture and evolution of Fleet Orchestration Core systems, which serve as the ... Collaborate closely with Product Management, Operations, Data Science, SRE, and other engineering ...

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 21-40

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 Aug 9, 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 is a data core system?

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 August 2026, with employment types broken down into 85% Full Time, 9% Part Time, 5% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $110,529 per year, or $53.1 per hour.

Senior Data Scientist - Network Value

Plaid Inc

San Francisco, CA • On-site

$120 - $160/hr

Other

Medical, Dental, Vision, Retirement

Re-posted 25 days ago

Job description

You’ll be a Data Scientist supporting Remember Me. In this role, you’ll become a data and analytical thought partner to product managers and engineers, helping drive data-informed product development for a critical user‑facing product. You’ll translate business questions into analytics projects, perform ad‑hoc and strategic analysis, improve visibility into core systems through data modeling and dashboarding, create OKRs quantifying progress against business goals, support feature ship decisions through experimentation, and build ML prototypes and causal inference models. Your work will directly support Conversion and Remember Me Enrolled Profile OKRs and help Plaid grow the size and depth of its Consumer Network.

Responsibilities
  • Champion a data‑first approach toward decision‑making across the entire organization
  • Become the data and analytical thought partner to product managers and engineers
  • Translate business questions into analytics projects
  • Perform ad‑hoc and strategic analyses to identify opportunities for improved outcomes and support business decisions
  • Build data models and dashboards to improve visibility into core systems
  • Create OKRs quantifying progress against business goals
  • Design and analyze experiments to support feature ship decisions
  • Build ML prototypes and causal inference models
Qualifications
  • 5-8+ years of experience as a Data Scientist or in a related analytics or data‑focused role
  • Experience with experimentation, ad‑hoc analysis, and developing strategic insights
  • Strong SQL skills and experience creating metrics that drive alignment with stakeholders
  • Experience building data pipelines with Airflow and dbt
  • Strong communication skills and experience partnering cross‑functionally with product managers, engineers, and other stakeholders
  • Experience driving data‑driven performance for user‑facing products
  • Track record of identifying novel ways to impact a top‑line OKR and influencing stakeholders on prioritization, roadmapping, and/or execution
  • Nice to have:
    • Fintech experience and experience working with raw fintech data
    • Experience with causal inference, machine learning, and Python
Compensation & Benefits

Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

Equal Opportunity Employer

Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.

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