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Data Software Engineer Jobs in California (NOW HIRING)

AI Data Software Engineer

San Francisco, CA · On-site

$134K - $162K/yr

They are seeking an AI Data Software Engineer who will work closely with AI research labs to develop data production workflows and ensure the reliability of data pipelines. Responsibilities : • ...

Software Engineer - Mapping Data Software

Foster City, CA · On-site

$133K - $160K/yr

We are seeking a Software Engineer to develop the geometry algorithms behind these data products and the interfaces consumers use to access them - including network topology, road network data format ...

Senior Big Data Software Engineer

Cupertino, CA · On-site

$68.75 - $91/hr

... Engineer, Software Developer, and/or Programmer role using Java with a focus on backend/database, and Big Data solutions * Demonstrated skill across Spring, Hibernate, Eclipse, Lucene, Solr, SOAP ...

Software Engineer - Data

Palo Alto, CA · On-site

$150K - $250K/yr

As a Software Engineer on xAI's Data team, you will be responsible for developing applications that power data acquisition, preparation, training, quality evaluation, and delivery for model training.

Software Engineer, Data

Palo Alto, CA · On-site

$134K - $161K/yr

The Software Engineer on the Data team will develop applications for data acquisition, preparation, and training to ensure high-quality data for model performance. Responsibilities : • Develop a ...

Software Engineer, Data

Palo Alto, CA · On-site

$134K - $161K/yr

The Software Engineer on the Data team will develop applications for data acquisition, preparation, and training, ensuring high-quality data for model performance. This role involves collaboration ...

Software Engineer - Data

Palo Alto, CA · On-site

$150K - $250K/yr

As a Software Engineer on xAI's Data team, you will be responsible for developing applications that power data acquisition, preparation, training, quality evaluation, and delivery for model training.

Apply Early

Software Engineer - Data

Palo Alto, CA · On-site

$150K - $250K/yr

As a Software Engineer on xAI's Data team, you will be responsible for developing applications that power data acquisition, preparation, training, quality evaluation, and delivery for model training.

Software Engineer, Data

San Francisco, CA · On-site

$134K - $162K/yr

As a Software Engineer, Data, you will contribute to data engineering efforts by designing and owning critical data pipelines, partnering with leaders to create scalable solutions, and launching ...

Software Engineer, Data

San Francisco, CA · On-site

$134K - $162K/yr

As a Software Engineer, Data, you will design and maintain data pipelines and collaborate with various stakeholders to enable better decision-making and improve data solutions. Responsibilities : • ...

Software Engineer, Data

San Francisco, CA · On-site

$134K - $162K/yr

They are seeking a Software Engineer, Data to design and maintain critical data pipelines that enable decision-making and support various business operations through innovative data solutions.

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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 Jul 6, 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 engineers make $300,000 a year?

Senior software engineers, data engineers, and machine learning engineers with extensive experience, specialized skills, and often working in high-demand industries or companies can earn $300,000 or more annually. Achieving this level typically requires advanced technical expertise, certifications, and sometimes leadership responsibilities or stock options.

What engineers make $500,000?

Senior software engineers, especially those working in high-demand areas like technology, finance, or specialized fields such as machine learning or cybersecurity, can earn $500,000 or more annually. Achieving this level often requires extensive experience, advanced skills, and sometimes stock options or bonuses in addition to base salary.

What does a software data engineer do?

A software data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making. Strong programming skills and knowledge of database systems are essential for this role.

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.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.
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 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 July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.
Big Data Software Engineer

$65.50 - $86.50/hr

Contractor

Posted 16 days ago


Job description

Company Description

Procom is a leading provider of professional IT services and staffing to businesses and governments in Canada.
With revenues over $500 million, the Branham Group has recognized Procom as the 3rd largest professional services firm in Canada and is now the largest "Canadian-Owned" IT staffing/consulting company.
Procom's areas of staffing expertise include:
Application Development
Project Management
Quality Assurance
Business/Systems Analysis
Datawarehouse & Business Intelligence
Infrastructure & Network Services
Risk Management & Compliance
Business Continuity & Disaster Recovery
Security & Privacy
Specialties Contract Staffing (Staff Augmentation)
Permanent Placement (Staff Augmentation)
ICAP (Contractor Payroll)
Flextrack (Vendor Management System)

Job Description

Big Data Software Engineer

On behalf of our client, Procom Services is searching for a Big Data Software Engineer  for a contract opportunity in Sunnyvale, CA.

Big Data Software Engineer Job Details

This position is to perform software engineering (programming) tasks with a small team to enhance a promising Retail Engagement Analytics product to expand the data analytic capabilities. The best candidate will be one who can implement independently with well defined interfaces in the code, but also able to work with others in a small team. We're looking for a Data Engineer who finds creative solutions to tough problems. A programmer who's not afraid to pave the way for bigger and better things. We are looking from someone who appreciates the stability of a larger company, yet interesting in going after specific leading edge technologies for a globally recognized product suite.

Big Data Software Engineer Mandatory Skills

  • Familiar with data mining, predictive models, and handling real time data flows. 
  • Facile with all the main web protocols as well as JavaScript. 
  • Java experience required, but we are open to other experience if you're willing to learn the languages we use. 
  • Experienced with using a No-SQL database like Mongo or Elastic Search. 
  • Experience with data infrastructure and visualization toolsets - eg. Tableau, Qlik, amazon redshift, etc 
  • Able to recommend ways to improve data reliability, efficiency, and quality. 
  • Enough programming knowledge to clean and scrub noisy datasets. 
  • Bonus points if experience includes working with IOT and sensor data.

Big Data Software Engineer Start Date

ASAP

Big Data Software Engineer Assignment Length

7+ months

Additional Information

All your information will be kept confidential according to EEO guidelines. Please send your resume in Word format only.