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Data Software Engineer Jobs in California (NOW HIRING)

Data Platform Software Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

Use programming languages (Python, SQL) and tools (DataBricks, Apache Kafka, Spark, Airflow) to ensure high-quality, scalable data flow. * Understanding of software engineering best practices ...

Use programming languages (Python, SQL) and tools (DataBricks, Apache Kafka, Spark, Airflow) to ensure high-quality, scalable data flow. * Understanding of software engineering best practices ...

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

Technical Service Data Engineer Schedule: Monday to Friday, 8 am to 5 pm We are looking for a ... Software Proficiency: * CAD: Advanced navigation in CATIA (V5/V6) or similar high-end PLM software ...

Use programming languages (Python, SQL) and tools (DataBricks, Apache Kafka, Spark, Airflow) to ensure high-quality, scalable data flow. * Understanding of software engineering best practices ...

Data Engineer

Foster City, CA

$133K - $160K/yr

Technical Service Data Engineer Schedule: Monday to Friday, 8 am to 5 pm We are looking for a ... Software Proficiency: * CAD: Advanced navigation in CATIA (V5/V6) or similar high-end PLM software ...

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

Technical Service Data Engineer Schedule: Monday to Friday, 8 am to 5 pm We are looking for a ... Software Proficiency: * CAD: Advanced navigation in CATIA (V5/V6) or similar high-end PLM software ...

The Software Engineer will develop and maintain electrical systems applications that deliver interactive visualization capabilities and support real-time data acquisition and analysis.

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Data Software Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do data software engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data software engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What are Data Software Engineers?

Data Software Engineers are professionals who design, build, and maintain the software systems that enable organizations to collect, process, and analyze large volumes of data. They bridge the gap between data engineering and software development by creating scalable, efficient pipelines and applications that support data-driven decision making. Their responsibilities often include developing data processing frameworks, ensuring data quality, and collaborating with data scientists and analysts to deliver actionable insights.

What are the key skills and qualifications needed to thrive as a Data Software Engineer, and why are they important?

To thrive as a Data Software Engineer, you need strong programming skills (often in Python, Java, or Scala), a solid understanding of data structures and algorithms, and a background in computer science or a related field. Familiarity with big data frameworks (like Hadoop or Spark), database systems (SQL/NoSQL), and data pipeline tools is typically required, along with relevant certifications such as AWS Certified Data Analytics. Excellent problem-solving abilities, collaboration, and effective communication are soft skills that set top performers apart. These skills ensure the efficient design, development, and optimization of robust data systems critical for driving business insights and decision-making.

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

AspectData Software EngineerData Engineer
Primary FocusDeveloping software tools and applications for data processing and analysisBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsProgramming, software development, data modeling, often with certifications in software engineeringDatabase systems, ETL tools, cloud platforms, often with certifications in data engineering
Work EnvironmentSoftware development teams, data science teams, often in tech companiesData infrastructure teams, IT departments, cloud service providers

While both roles work with data, Data Software Engineers focus on creating software solutions for data analysis, whereas Data Engineers build the infrastructure to collect, store, and process data efficiently. Both roles require programming skills and often overlap, but their core responsibilities differ in scope and focus.

What are some common challenges Data Software Engineers face when working with large datasets?

Data Software Engineers often encounter challenges related to scalability, data quality, and system performance when handling large datasets. Ensuring that data pipelines can efficiently process high volumes of data without bottlenecks requires robust architecture and frequent optimization. Additionally, maintaining data integrity and consistency across distributed systems can be complex, especially when integrating data from multiple sources. Collaboration with data scientists, analysts, and DevOps teams is key to overcoming these challenges and building reliable, efficient data solutions.
What are the most commonly searched types of Data Software Engineer jobs in California? The most popular types of Data Software Engineer jobs in California are:
What job categories do people searching Data Software Engineer jobs in California look for? The top searched job categories for Data Software Engineer jobs in California are:
What cities in California are hiring for Data Software Engineer jobs? Cities in California with the most Data Software Engineer job openings:
What are popular job titles related to Data Software Engineer jobs in CA? For Data Software Engineer jobs in CA, the most frequently searched job titles are:
Infographic showing various Data Software Engineer job openings in California as of June 2026, with employment types broken down into 3% Internship, 88% Full Time, and 9% Contract. Highlights an 88% In-person, 3% Hybrid, and 9% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Software Engineer - Data Engineering

CHAOS Industries

Los Angeles, CA • On-site

$123K - $148K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Summary:
CHAOS Industries builds distributed sensor networks that detect threats to warfighters and critical infrastructure. They are seeking a Software Engineer to design and build data systems that move sensor data in real time and integrate feeds from various sources to enable faster threat detection.
Responsibilities:
• Design and build data pipelines that ingest, transform, and deliver sensor and operational data in real time
• Integrate data from diverse sources - radars, sensors, enterprise systems - into unified, queryable formats
• Build and maintain data infrastructure including real-time streaming, batch processing, and storage systems
• Collaborate with hardware, systems, and software engineers to ensure data flows support mission-critical workflows
• Monitor, troubleshoot, and optimize pipeline performance for reliability and low latency
• Contribute to architectural decisions as the data platform evolves
• Work 3+ days per week from our San Francisco or Los Angeles office
Qualifications:
Required:
• 1-2 years of experience in software development, data engineering, or a related field
• Proficiency in Python and SQL
• Experience building or maintaining data pipelines, ETL workflows, or backend data services
• Familiarity with data modeling concepts and working with structured/unstructured data
• Strong problem-solving skills and ability to debug complex data issues
Preferred:
• Experience with real-time data processing or streaming technologies (Kafka, Spark Streaming, Flink)
• Familiarity with Palantir Foundry or similar enterprise data platforms
• Experience with cloud platforms (Azure, AWS, GCP)
• Background in defense, aerospace, or sensor systems (radar, EO/IR, EW)
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Familiarity with data warehousing solutions and NoSQL databases
Company:
CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. Founded in 2022, the company is headquartered in Los Angeles, USA, with a team of 51-200 employees. The company is currently Growth Stage.