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Data Systems Engineer Jobs in California (NOW HIRING)

... systems. * Use tools to monitor and troubleshoot hardware issues. * Work closely with engineers and ... Experience working within a data center or network operation center environment. * Comfortable ...

We need systems engineers who are capable of internalizing the nuances of each deployment and ... Comfortable obtaining data from software platforms using command-line tools. * Familiarity with ...

Systems Engineer

San Diego, CA · On-site

$100K - $110K/yr

Conduct laboratory and field testing of RF equipment, analyzing data and generating detailed ... Bachelor's Degree in Electrical Engineering or Systems Engineering (e.g., Telecommunications ...

Systems Engineer

San Diego, CA · On-site

$70K - $118K/yr

Conduct laboratory and field testing of RF equipment, analyzing data and generating detailed ... Bachelor's Degree in Electrical Engineering or Systems Engineering (e.g., Telecommunications ...

Systems Engineer

San Diego, CA · On-site

$70K - $118K/yr

Conduct laboratory and field testing of RF equipment, analyzing data and generating detailed ... Bachelor's Degree in Electrical Engineering or Systems Engineering (e.g., Telecommunications ...

Systems Engineer

San Diego, CA · On-site

$100K - $110K/yr

Conduct laboratory and field testing of RF equipment, analyzing data and generating detailed ... Bachelor's Degree in Electrical Engineering or Systems Engineering (e.g., Telecommunications ...

Showing results 21-40

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 Aug 8, 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 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 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 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.

What job categories do people searching Data Systems Engineer jobs in California look for? The top searched job categories for Data Systems Engineer jobs in California are:
Infographic showing various Data Systems Engineer 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 $125,549 per year, or $60.4 per hour.

Future Opportunities - Systems Engineer

Epirus

Torrance, CA • On-site

Full-time

Re-posted 14 days ago


Job description

About Epirus
Epirus is a high-growth technology company dedicated to overcoming the asymmetric challenges inherent to the future of national security. Epirus' flagship product, Leonidas, is a software-defined system built using intelligent power management techniques which allow power-hungry systems to do more with less.
At Epirus, we're always looking ahead-and that includes building relationships with forward-thinking engineers who want to shape the future of defense technology. While we may not have an immediate opening that matches your background, we invite you to express interest in future Systems Engineering opportunities.
Whether your strengths lie in Data Engineering, Core Systems Engineering, or Modeling & Simulation, there could be a place for you on our team as we grow.
**This posting is for resume collection in anticipation of future opportunities. A member of our Talent Acquisition team will contact you if a suitable position becomes available.**
Learn More about our Systems Roles:
Data Engineering Roles
  • Design, implement, and maintain production-quality data pipelines and transformation workflows with clear, reproducible documentation.
  • Optimize existing pipelines for performance, scalability, and reliability.
  • Manage large-scale video data storage, indexing, and retrieval systems.
  • Develop ETL/ELT workflows using orchestration tools (e.g., Airflow).
  • Deploy and manage containerized workloads in Docker/Kubernetes environments.
  • Maintain data governance practices, including schema enforcement, versioning, and compliance documentation.

Systems Engineering Roles
  • Define, manage, and trace system requirements across the development lifecycle.
  • Translate mission needs and operational analyses into Key Performance Parameters and system-level requirements.
  • Serve as a technical liaison to customers to ensure solutions meet mission and performance expectations.
  • Collaborate with design teams to develop and maintain Model-Based Systems Engineering (MBSE) artifacts, including structural and behavioral diagrams.
  • Partner with business development to propose new system architectures and applications.

Modeling & Simulation Roles
  • Develop and refine models to simulate performance at the subsystem, system, and system-of-systems level.
  • Conduct engineering trade studies to inform product requirements and design decisions.
  • Evaluate system architectures to balance mission effectiveness, cost, and technical feasibility.
  • Collaborate with multidisciplinary teams to validate models and drive informed decision-making.
  • Propose and analyze operational concepts (CONOPs) for new applications and technologies.

Basic Qualifications
  • Minimum of 2 years of professional engineering experience in one or more of the following domains: Systems Engineering, Data Engineering, or Modeling & Simulation.
  • Bachelor's or Master's degree in Electrical Engineering, Computer Science, Aerospace Engineering, or a related technical field.
  • Demonstrated experience contributing to the definition or management of a technical system baseline.
  • Proficiency in at least one programming language (e.g., Python, C, or C++).

Preferred Qualifications
  • Advanced degree (MS or PhD) in a relevant discipline.
  • Experience working with RF systems, including radar, communications, electronic warfare (EW), or phased array systems.
  • Familiarity with MBSE tools and methodologies.
  • Experience deploying data systems in containerized environments (Docker/Kubernetes).
  • Knowledge of DoD or defense contracting environments is a plus.

ITAR REQUIREMENTS:
To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State.
At Epirus, you'll work with technical peers and great people-and get first crack at some of the defining technology challenges of our time. Here, "impossible" is just a challenge. We're a diverse, fast-growing team of change-makers fueling the future of energy with revolutionary solutions. Join us and rewrite the rules.