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Data Flow Jobs in California (NOW HIRING)

Data Architect | California

San Diego, CA · On-site

$67.75 - $87/hr

Ensure seamless data flow and interoperability. Performance Tuning: Monitor and optimize database performance, making adjustments as needed to meet performance objectives. Data Governance: Establish ...

VP, Data Intake Operations

Irvine, CA · On-site

$240K - $260K/yr

... data flow, data intake controls, monitoring, and reporting • Oversee implementation of AI-enabled and automated solutions that reduce manual effort and improve data accuracy at the Auction ...

Material Flow Engineer

Hawthorne, CA · On-site

$110K - $135K/yr

This role involves using lean material flow principles, data analytics, problem solving, modeling, and project management skills to ensure the safe, efficient, and cost-effective movement of all ...

Material Flow Engineer

Hawthorne, CA · On-site

$110K - $135K/yr

This role involves using lean material flow principles, data analytics, problem solving, modeling, and project management skills to ensure the safe, efficient, and cost-effective movement of all ...

Material Flow Engineer

Hawthorne, CA · On-site

$110K - $135K/yr

This role involves using lean material flow principles, data analytics, problem solving, modeling, and project management skills to ensure the safe, efficient, and cost-effective movement of all ...

Maintain and enhance existing reporting tools and dashboards to ensure continuous data flow and usability. * Collaborate with cross-functional teams to prioritize information needs and support ...

Software Engineer, Data Acquisition

San Francisco, CA · On-site

$134K - $162K/yr

... flow and system operability. • Work closely with the legal team to handle any compliance or data privacy-related matters. • Develop and deploy highly scalable distributed systems capable of ...

Material Flow Engineer

Hawthorne, CA · On-site

$100 - $115/hr

This role involves using lean material flow principles, data analytics, problem solving, modeling, and project management skills to ensure the safe, efficient, and cost-effective movement of all ...

New

... flow diagrams and database design development • Good understanding of data masking, scrubbing, quality and integration techniques • Proficient in MS Word, Excel, Vizio, Project Planning and ...

Data Architect

Sunnyvale, CA · On-site

$74.75 - $96.25/hr

Capability in data flow design and optimization, along with data-related system integration analysis and solutioning. * Proficiency in code development, test case creation, proof of concept ...

... data flow diagrams, entity-relationship diagrams, system architecture diagrams) to guide implementation and knowledge sharing. • Maintain detailed documentation of data architecture, design ...

Showing results 21-40

Data Flow information

See California salary details

$10

$54

$88

How much do data flow jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data flow in California is $54.06, according to ZipRecruiter salary data. Most workers in this role earn between $31.54 and $74.15 per hour, depending on experience, location, and employer.

What is data flow in the context of computing and IT?

Data flow refers to the movement and processing of data within a system, application, or network. It describes how data is input, transformed, and output as it passes through various components or stages. Understanding data flow is crucial for designing efficient systems, troubleshooting issues, and ensuring data integrity. Data flow diagrams (DFDs) are often used to visualize and analyze these paths and processes.

What are the key skills and qualifications needed to thrive as a data flow specialist, and why are they important?

To thrive as a Data Flow Specialist, you need a solid understanding of data integration, data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools (such as Informatica or Talend), data pipeline frameworks, and proficiency in SQL or Python are commonly required. Strong analytical thinking, attention to detail, and effective communication enhance problem-solving and collaboration across teams. These skills are essential to ensure accurate, secure, and efficient data movement that supports organizational decision-making.

How do data flow specialists typically collaborate with other teams within an organization?

Data Flow specialists frequently work cross-functionally with data engineers, analysts, and IT teams to ensure seamless movement and integration of data across platforms. They often participate in meetings to discuss data pipeline requirements, address data quality issues, and troubleshoot bottlenecks. Effective communication and documentation are key, as they must translate complex data processes for stakeholders with varying technical backgrounds. Collaborating closely ensures that data remains consistent, secure, and accessible for business needs.

What is the difference between Data Flow vs Data Analyst?

AspectData FlowData Analyst
Required CredentialsTypically no formal certification, but knowledge of data management toolsBachelor's degree in data science, statistics, or related field; certifications like SQL or Tableau are common
Work EnvironmentData management systems, cloud platforms, and data pipelinesData analysis tools, spreadsheets, visualization software, and reporting platforms
Employer & Industry UsageUsed in IT, data engineering, and database management rolesUsed across finance, marketing, healthcare, and business intelligence sectors

Data Flow focuses on managing and transferring data within systems, ensuring data moves efficiently through pipelines. Data Analysts interpret and analyze data to generate insights and support decision-making. While Data Flow involves technical data handling, Data Analysts focus on analyzing data to inform business strategies.

What are popular job titles related to Data Flow jobs in California?

For Data Flow jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Flow jobs in California look for?

The top searched job categories for Data Flow jobs in California are:

What cities in California are hiring for Data Flow jobs?

Cities in California with the most Data Flow job openings:

Infographic showing various Data Flow job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $112,439 per year, or $54.1 per hour.

Data Architect | California

Photon

San Diego, CA • On-site

$67.75 - $87/hr

Full-time

Re-posted 9 days ago


Job description


Job Summary:
We are looking for an experienced Data Architect with a deep understanding of Capsenta to lead our data modeling and architecture efforts. The ideal candidate will play a crucial role in designing, implementing, and optimizing data solutions that align with our clients' needs. I
Key Responsibilities:
Data Architecture Design: Lead the design and development of data architectures, ensuring scalability, reliability, and performance. Utilize your expertise in Capsenta to create innovative solutions.
Data Modelling: Develop and maintain data models, schemas, and ontologies using Capsenta's capabilities to provide structured representations of complex data.
Database Management: Manage and optimize databases, ensuring data integrity, security, and compliance. Implement best practices for data storage and retrieval.
Integration: Collaborate with cross-functional teams to integrate data from various sources into a unified architecture. Ensure seamless data flow and interoperability.
Performance Tuning: Monitor and optimize database performance, making adjustments as needed to meet performance objectives.
Data Governance: Establish and enforce data governance policies, standards, and procedures to maintain data quality and consistency.
Documentation: Maintain comprehensive documentation of data architecture, models, and solutions.
Team Collaboration: Work closely with data engineers, analysts, and stakeholders to understand data requirements and provide technical guidance.
Stay Updated: Stay informed about industry trends, emerging technologies, and advancements in Capsenta to continually enhance our data capabilities.
Qualifications:
Bachelor's degree in computer science, Information Technology, or a related field (Master's degree preferred).
Proven experience as a Data Architect, with a focus on Capsenta solutions.
Strong understanding of data modeling, semantic technology, and graph databases.
Proficiency in Capsenta's platform for knowledge graph solutions.
Knowledge of data integration, ETL processes, and data warehousing.
Familiarity with data governance principles and best practices.
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
Relevant certifications in Capsenta or related technologies preferred.