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Data Systems Engineer Jobs in California (NOW HIRING)

Data & Systems Engineer

Los Angeles, CA · On-site

$110K - $140K/yr

Data & Systems Engineer Company Overview A mission-driven nonprofit organization based in Los Angeles, California is dedicated to supporting and empowering a large and diverse membership through ...

To help achieve these efforts, Stratolaunch is seeking a level I, II, or Sr-level Data Systems Engineer to support design, integration, testing, and maintenance of hypersonic aircraft avionics ...

To help achieve these efforts, Stratolaunch is seeking a level I, II, or Sr-level Data Systems Engineer to support design, integration, testing, and maintenance of hypersonic aircraft avionics ...

To help achieve these efforts, Stratolaunch is seeking a level I, II, or Sr-level Data Systems Engineer to support design, integration, testing, and maintenance of hypersonic aircraft avionics ...

The Data & System Engineer will support our software developers, database architects, data analysts and data specialist on both data and system initiatives and will ensure optimal data delivery ...

New

Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the ...

Software Engineer, Data Systems

San Francisco, CA · On-site

$134K - $162K/yr

You'll work closely with analytics, product, and engineering leadership to enable data-driven decision making at scale while building systems that serve millions of users and inform critical business ...

Software Engineer, Data Systems

San Francisco, CA · On-site

$134K - $162K/yr

You'll work closely with analytics, product, and engineering leadership to enable data-driven decision making at scale while building systems that serve millions of users and inform critical business ...

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Data Systems Engineer information

See California salary details

$52.8K

$125.5K

$164.8K

How much do data systems engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for data systems engineer in California is $125,549.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $154,900.00 per year, depending on experience, location, and employer.

What is a data systems engineer?

Data Systems Engineers are professionals who design, build, and maintain the infrastructure and systems that manage and process large volumes of data within an organization. They ensure data flows efficiently between databases, applications, and users, often working with technologies such as databases, data warehouses, and cloud platforms. Their responsibilities include optimizing data pipelines, ensuring data security, and supporting analytics and business intelligence initiatives. Data Systems Engineers collaborate closely with data scientists, software engineers, and IT teams to create reliable, scalable, and secure data environments.

What are the key skills and qualifications needed to thrive as a data systems engineer?

To excel as a Data Systems Engineer, you need strong skills in data architecture, database management, and programming, often backed by a degree in computer science or a related field. Familiarity with tools like SQL, Python, Hadoop, and cloud platforms, as well as certifications such as AWS Certified Data Analytics or Google Professional Data Engineer, is typically required. Exceptional problem-solving, collaboration, and analytical thinking help you design robust, scalable data solutions and communicate effectively with stakeholders. These skills and qualities are crucial for ensuring data integrity, optimizing system performance, and supporting organizational decision-making.

What are some common challenges data systems engineers face when integrating new data sources?

Data Systems Engineers often encounter challenges such as ensuring data compatibility across diverse formats, maintaining data integrity during migration, and managing system performance while integrating new sources. Collaborating closely with data analysts, software developers, and database administrators is key to anticipating and addressing these issues. Successful integration frequently requires thorough testing, robust error handling, and establishing clear data governance protocols to prevent inconsistencies or data loss.

What is the difference between Data Systems Engineer vs Data Engineer?

AspectData Systems EngineerData Engineer
CredentialsBachelor's in CS, certifications like AWS, AzureBachelor's in CS, certifications like AWS, Azure
Work EnvironmentDesigning and maintaining data infrastructure, systems integrationBuilding data pipelines, ETL processes, data storage solutions
Industry UsageIT, tech companies, large enterprisesTech, finance, healthcare, any data-driven industry

Both roles require similar technical skills and certifications, often working in data infrastructure environments. Data Systems Engineers focus on designing and maintaining data systems, while Data Engineers primarily build and optimize data pipelines. The roles are complementary and often overlap in organizations managing complex data architectures.

Infographic showing various Data Systems Engineer job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $125,549 per year, or $60.4 per hour.

DATA & SYSTEMS ENGINEER

Los Angeles, CA • On-site

Full-time

Posted 12 days ago


Job description

Position Summary:

This multi-faceted position will be responsible for expanding and optimizing SEIU-UHW's reporting capabilities and system architecture. This position will be responsible for both managing the company's Salesforce.com instance (system configuration, system management, and data ownership) as well as expanding data systems and building them from the ground up. The Data & System Engineer will support our software developers, database architects, data analysts and data specialist on both data and system initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. Key responsibilities include security, system configuration, data management, routine maintenance, back-ups, disaster recovery, integrations, reports and dashboards.