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Data Science Software Engineer Jobs in California

Bachelor's degree in computer science, data science, engineering, math, physics, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree * 1+ years of ...

Bachelor's degree in computer science, data science, engineering, math, physics, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree * 1+ years of ...

The Role As a foundational software engineer on our data platform engineering team, you will lead ... You will work cross functionally with production experts, operations research scientists, software ...

Senior Software Engineer

Sunnyvale, CA · On-site

$143K - $189K/yr

Master's degree in Computer Science, Software Engineering, Machine Learning, or related field.Passion for solving complex problems and uncovering hidden insights through data.

Analyze specifications, communications, data points, and programming requirements gathered per ... degree in Computer Science, Software Engineering or a related field plus two (2) years of ...

Analyze specifications, communications, data points, and programming requirements gathered per ... Position requires a Master's degree or foreign equivalent degree in Computer Science, Software ...

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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 Jun 22, 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 are the key skills and qualifications needed to thrive as a Data Science Software Engineer, and why are they important?

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 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 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:
Software Engineer, Data (Starlink)

Software Engineer, Data (Starlink)

SpaceX

Hawthorne, CA

$145K - $175K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

13th of 60 rated aerospace companies


Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
SOFTWARE ENGINEER, DATA (STARLINK)
At SpaceX we're leveraging our experience in building rockets and spacecraft to deploy Starlink, the world's most advanced broadband internet system. Starlink is the world's largest satellite constellation and is providing fast, reliable internet to 9M+ users worldwide. We design, build, test, and operate all parts of the system - thousands of satellites, consumer receivers that allow users to connect within minutes of unboxing, and the software that brings it all together. We've only begun to scratch the surface of Starlink's potential global impact and are looking for the world's best engineers to help maximize Starlink's utility for communities and businesses around the globe.
As a software engineer on the Starlink program, you will be solving challenges that improve our ability to fully utilize the hardware we have deployed. Our goal is to provide customers with the best possible satellite internet experience, often providing under-served communities with affordable, life-changing broadband internet access.
Aerospace experience is not required for success here - rather, we look for smart, motivated, and collaborative software engineers who love solving problems and want to make an impact on a truly inspiring mission. You will have full ownership of challenging problems, working with a team of enthusiastic engineers to design and produce solutions that enable SpaceX to move towards our goals at a rapid pace. The success of the missions at SpaceX depends on the software that you and your team produce.
RESPONSIBILITIES:
  • Develop a highly reliable and scalable enterprise data platform empowering users to ingest, process, store, and query at petabyte-scale
  • Create new functionality and end-to-end data pipelines that improve how the business at SpaceX operates
  • Collaborate with peers on architecture, design, and code reviews
  • Build prototypes to prove out key design concepts and quantify technical constraints
  • Own all aspects of software engineering and product development
  • Deep dive into business problems, find efficient solutions and apply first principles thinking

BASIC QUALIFICATIONS:
  • Bachelor's degree in computer science, data science, engineering, math, physics, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree
  • 1+ years of experience in full stack development, software engineering, data engineering, or data science

PREFERRED SKILLS AND EXPERIENCE:
  • Programming experience in Scala, Java, C#, Python, Go or similar languages
  • Frontend experience in Angular, React, or similar JavaScript frameworks
  • Experience optimizing in-stream, big data processing and analytics frameworks like Apache Kafka, Spark, Flink, or similar
  • Experience with relational and non-relational databases, data lakes e.g. Hive, Delta Lake, PostgreSQL, CockroachDB or similar
  • Experience with data exploration tools like Grafana, Metabase, PowerBI or similar
  • Good understanding of version control, testing, continuous integration, build, deployment and monitoring
  • Good understanding of statistics, machine learning algorithms and frameworks

ADDITIONAL REQUIREMENTS:
  • Willing to work extended hours and weekends when needed

COMPENSATION AND BENEFITS:
Pay Range:
Software Engineer/Level I: $125,000.00 - $145,000.00/per year
Software Engineer/Level II: $145,000.00 - $175,000.00/per year
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law.
ITAR REQUIREMENTS:
    Learn more about the ITAR here.

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to

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