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Data Science Software Engineer Jobs in California

MDAEdge

HEM Software Engineer

San Diego, CA · On-site

They are seeking a HEM Software Engineer to build and maintain software that enhances event ... data scientists, project managers, and transportation SMEs. • Stay current with emerging ...

Booz Allen Hamilton

Data Engineer

San Diego, CA

$62K - $141K/yr

Master's degree in Computer Science, Computer Engineering, Mathematics, Data Science, Software Engineering, Electrical Engineering, or Physics * Cloud Development Certification, including AWS ...

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Master's degree in Computer Science, Computer Engineering, Mathematics, Data Science, Software Engineering, Electrical Engineering, Physics, or a related field * Cloud Development Certification ...

Booz Allen Hamilton

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Master's degree in Computer Science, Computer Engineering, Mathematics, Data Science, Software Engineering, Electrical Engineering, Physics, or a related field * Cloud Development Certification ...

Trabus Technologies

Full Stack Engineer

San Diego, CA · On-site +1

Collaborate with software engineers, data scientists, and project teams to architect scalable software solutions. * Build and maintain applications using Python, Django, React, and related ...

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All JobsData Science Software Engineer JobsData Science Software Engineer Jobs in California

Data Science Software Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do data science software engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science 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 is a data science software engineer?

A Data Science Software Engineer is a professional who combines software engineering skills with data science expertise to build scalable data-driven systems and applications. They design, develop, and optimize software that supports data pipelines, machine learning models, and analytics platforms. Their work bridges the gap between data scientists, who focus on statistical analysis and modeling, and traditional software engineers, who focus on building robust and efficient software systems. Data Science Software Engineers ensure that data solutions are production-ready, scalable, and maintainable.

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

To thrive as a Data Science Software Engineer, you need strong proficiency in programming (especially Python or R), a solid understanding of statistics and algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data processing tools (like Spark or Hadoop), and cloud platforms (AWS, GCP, or Azure) is essential, as are relevant certifications. Excellent problem-solving abilities, communication skills, and the ability to work collaboratively with cross-functional teams set top performers apart. These competencies are vital for efficiently developing scalable data-driven solutions that drive business insights and innovation.

How does a data science software engineer typically collaborate with data scientists and other stakeholders on projects?

Data Science Software Engineers play a vital role in bridging the gap between data science and software engineering teams. They work closely with data scientists to translate prototypes and models into scalable, production-ready code, and often collaborate with product managers, analysts, and infrastructure engineers to ensure seamless integration. Regular communication and code reviews are essential, as is an iterative development process to address feedback and ensure solutions meet both technical and business requirements. This cross-functional collaboration helps deliver robust data-driven applications that align with organizational goals.

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

AspectData Science Software EngineerData Analyst
Required SkillsProgramming, software development, machine learningData visualization, statistical analysis, reporting
Work EnvironmentSoftware development teams, engineering projectsBusiness units, reporting teams
Common ToolsPython, Java, SQL, ML frameworksExcel, Tableau, SQL, R
Industry UsageTech, finance, healthcare, startupsMarketing, finance, retail, research

While both roles analyze data, Data Science Software Engineers focus on developing software solutions and machine learning models, requiring strong programming skills. Data Analysts primarily interpret data through visualization and statistical methods to support business decisions. The roles often overlap but serve different functions within organizations.

What are popular job titles related to Data Science Software Engineer jobs in California?

For Data Science Software Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Science Software Engineer jobs in California look for?

The top searched job categories for Data Science Software Engineer jobs in California are:

Data Science Software Engineer jobs near you
Infographic showing various Data Science Software Engineer 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 $128,018 per year, or $61.5 per hour.

HEM Software Engineer

MDAEdge

San Diego, CA • On-site

Full-time

Re-posted 29 days ago

Job description

Job Summary:
MDAEdge is a company focused on improving operational efficiency in rail and public transportation. They are seeking a HEM Software Engineer to build and maintain software that enhances event management and integrates with various systems for reliable monitoring and data flow.
Responsibilities:
• Design, develop, document, and maintain production software for transportation networks.
• Integrate software with hardware systems and protocols for rail and transit operations.
• Implement rigorous testing, fault tolerance, and redundancy to support safety and reliability.
• Ensure solutions align with industry regulations and certification requirements.
• Collaborate on intuitive UI/UX and create user‐friendly interfaces for internal and external users.
• Provide ongoing maintenance, bug resolution, updates, and user support.
• Work cross‐functionally with hardware engineers, data scientists, project managers, and transportation SMEs.
• Stay current with emerging technologies and recommend relevant improvements.
• Build front‐end features from mockups using HTML, CSS, and JavaScript frameworks.
• Integrate with relational databases and backend services for data exchange.
• Test for functionality and responsiveness across devices and browsers.
• Troubleshoot defects, verify fixes, and participate in code reviews to uphold best practices and quality.
• Manage user support and feedback loops for continuous improvement.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Software Engineering, IT, or related field.
• 2–4 years of professional software engineering experience.
• Proficiency in C, C++, Python, and JavaScript.
• Experience with modern software frameworks and tools.
• Knowledge of hardware–software integration and communication protocols.
• Familiarity with system design, development, deployment, and Agile methods.
• Native or bilingual proficiency in English.
Preferred:
• Experience in software development within rail or transportation is strongly preferred.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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