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Data Network Jobs in California (NOW HIRING)

East West Bank

Financial Crimes Data Scientist

Pasadena, CA · On-site

$100K - $200K/yr

Leverages machine learning, network analytics, and large-scale financial data to identify emerging threats, enhance detection effectiveness, reduce false positives, and support regulatory compliance ...

East West Bank

Financial Crimes Data Scientist

Pasadena, CA · On-site

$100K - $200K/yr

Leverages machine learning, network analytics, and large-scale financial data to identify emerging threats, enhance detection effectiveness, reduce false positives, and support regulatory compliance ...

SGS Consulting

Data Analyst III

San Diego, CA · On-site

This person will analyze outage, customer, operational, network model, device model, and system data; develop reports and dashboards; validate data; identify trends; and translate findings into clear ...

Maxinsights

Data Partnership Manager

Santa Clara, CA · On-site

If you are deeply interested in building a "data production network" and are willing to accumulate experience through frontline, hands-on operations to achieve rapid growth, this is an excellent ...

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Showing results 41-60

All JobsData Network JobsData Network Jobs in California

Data Network information

See California salary details

$102.1K

$131.5K

$170.2K

How much do data network jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data network in California is $131,459.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,400.00 and $144,100.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a data network engineer?

To thrive as a Data Network Engineer, you need a solid understanding of networking fundamentals, protocols (such as TCP/IP), and a relevant degree or certifications like Cisco's CCNA or CCNP. Familiarity with network hardware, configuration management tools, firewalls, and monitoring systems is typically required. Strong analytical thinking, problem-solving, and effective communication skills set top performers apart in this role. These competencies are crucial for ensuring reliable, secure, and efficient data network operations that support organizational connectivity and performance.

What are common challenges faced by professionals working in data network roles, and how can they be addressed?

Professionals in Data Network roles often encounter challenges such as managing network security, ensuring minimal downtime, and keeping up with rapidly evolving technologies. Addressing these challenges involves staying updated with the latest security protocols, proactively monitoring network performance, and participating in ongoing training and certification programs. Additionally, collaborating closely with cross-functional teams like cybersecurity and IT support can help identify potential issues early and maintain optimal network operations.

What is the difference between Data Network vs Network Administrator?

AspectData NetworkNetwork Administrator
CertificationsCCNA, CompTIA Network+CCNA, CompTIA Network+
Work EnvironmentDesigning, implementing, and managing data communication systemsMaintaining and supporting existing network infrastructure
Primary FocusData transmission, network architecture, and protocolsNetwork operation, troubleshooting, and user support
Industry UsageIT, telecommunications, data centersCorporate IT departments, service providers

Data Network professionals focus on designing and managing data communication systems, ensuring efficient data transfer and network architecture. Network Administrators primarily maintain and troubleshoot existing networks, supporting daily operations. While both roles require similar certifications and work in related environments, their core responsibilities differ in scope and focus.

What is a data network?

Data network jobs involve designing, implementing, managing, and securing networks that transmit digital information between computers and devices. Professionals in this field ensure reliable connectivity, troubleshoot network issues, and maintain performance for organizations of all sizes. Common roles include network engineer, network administrator, and network architect. These jobs often require knowledge of networking protocols, hardware, and security best practices.

What are the most commonly searched types of Data Network jobs in California?

The most popular types of Data Network jobs in California are:

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

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

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

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

What cities in California are hiring for Data Network jobs?

Cities in California with the most Data Network job openings:

Data Network jobs near you
Infographic showing various Data Network job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $131,459 per year, or $63.2 per hour.

Staff Software Engineer - Data Platform

Hivemapper

San Francisco, CA • On-site

Full-time

Re-posted 10 days ago

Job description

Job Summary:
Hivemapper is a decentralized global map data network built by tens of thousands of mapping devices. They are seeking a Staff Software Engineer to drive the architecture, design, implementation, and evaluation of core systems and data platforms.
Responsibilities:
• Drive architecture, design, implementation, and eval of our core systems and data platforms
• Partner across the company to ensure our systems are adaptable to emerging opportunities
• Help plan technical roadmaps and lead higher level technical strategy
Qualifications:
Required:
• Experience building production critical systems used by >= thousands of users
• Deep backend experience with a large scale data platform, DB, ETL, distributed system, etc.
• Strong analytical skills in a relevant field like ML, math, statistics, quantitative economics, etc.
• Track record of deploying and maintaining large scale distributed systems
Preferred:
• Experience with geospatial data, HD mapping, sensor fusion, ADAS or AV, etc.
• Experience managing, generating, and processing large amounts of geospatial or imagery data
• Experience with Spark, EMR, MapReduce, Presto, Trino, Mongo Sharding, or similar systems
• Experience with blockchain/web3
• Experience scaling products or systems at hyper-growth startups
Company:
Hivemapper is a community-owned mapping network that creates unprecedented coverage, freshness, and quality. Founded in 2015, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.

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