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Full Stack Data Analyst Developer Jobs in California

Implement and maintain databases and data models, ensuring data integrity and performance ... Strong problem-solving and analytical skills, with the ability to debug and resolve complex ...

Full-stack developer - Junior

Fairfield, CA ยท On-site

$68.80K - $89.30K/yr

We want Data Science/Machine learning/Data Analyst and Java Full stack candidates REQUIRED SKILLS For Java /Full stack/Devops Positions Bachelors degree or Masters degree in Computer Science ...

Full Stack Developer Our progressive client is seeking a Full Stack Developer who has the ... Strong analytical and quantitative skills; Data driven and results oriented * Capable of ...

Full Stack Developer Lasso Informatics is a SaaS start-up with a live research data management and analysis platform that brings together multi-modal (imaging, genetics, behavioral, and biosample ...

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

... 24/7. As a Full Stack Developer, you will build the features and interfaces that data center ... analyze, and act on real-time power and operational data. You will work across the entire stack ...

... 24/7. As a Full Stack Developer, you will build the features and interfaces that data center ... analyze, and act on real-time power and operational data. You will work across the entire stack ...

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How much do full stack data analyst developer jobs pay per hour?

As of May 28, 2026, the average hourly pay for full stack data analyst developer in California is $58.48, according to ZipRecruiter salary data. Most workers in this role earn between $48.65 and $67.36 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Stack Data Analyst Developer, and why are they important?

To thrive as a Full Stack Data Analyst Developer, you need strong analytical skills, proficiency in programming languages like Python or JavaScript, and a solid understanding of both front-end and back-end development, often supported by a degree in computer science, statistics, or related fields. Familiarity with databases (SQL/NoSQL), data visualization tools (such as Tableau or Power BI), and experience with frameworks like React or Django are typically required. Strong problem-solving abilities, effective communication, and adaptability set exceptional professionals apart in this role. These skills are vital for delivering comprehensive, data-driven solutions that bridge technical, analytical, and business needs.

How does a Full Stack Data Analyst Developer typically collaborate with cross-functional teams on data-driven projects?

Full Stack Data Analyst Developers often work closely with data scientists, business analysts, product managers, and software engineers to deliver end-to-end data solutions. They are responsible for gathering requirements, designing data models, building data pipelines, and developing user-facing dashboards or applications. Effective communication and a collaborative mindset are essential, as the role involves translating business needs into technical solutions and ensuring data integrity throughout the process. Regular meetings, code reviews, and agile methodologies are common practices to align efforts and achieve project goals.

What is a Full Stack Data Analyst Developer?

A Full Stack Data Analyst Developer is a professional skilled in both data analysis and software development across the entire technology stack. They handle tasks ranging from data collection and cleaning, to building analytical models, and developing applications or dashboards to visualize and interact with data. This role requires proficiency in programming languages, data visualization tools, databases, and analytical techniques. Full Stack Data Analyst Developers are valued for their ability to bridge the gap between data science and software engineering, delivering end-to-end data-driven solutions.
What job categories do people searching Full Stack Data Analyst Developer jobs in California look for? The top searched job categories for Full Stack Data Analyst Developer jobs in California are:
Infographic showing various Full Stack Data Analyst Developer job openings in California as of May 2026, with employment types broken down into 3% As Needed, 84% Full Time, 3% Part Time, and 10% Contract. Highlights an 67% Physical, and 33% Hybrid job distribution, with an average salary of $121,648 per year, or $58.5 per hour.
Senior Palantir Foundry full stack Developer

Senior Palantir Foundry full stack Developer

Info Way Solutions

Rosemead, CA โ€ข Remote

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Title: Senior Palantir Foundry full stack Developer
Location: Remote
Type: Contract
Job description:
A Senior Palantir Foundry Full Stack Developer specializes in creating comprehensive, data-driven applications on the Palantir Foundry platform. This role demands proficiency in both front-end and back-end development to build user interfaces, data pipelines, and advanced data analysis features within the Foundry environment.
Key Responsibilities:
Platform Expertise: Develop a deep understanding of Palantir Foundry's tools, such as Workshop, Quiver, and Slate, to design data workflows, build visualizations, and create user interfaces.
Full-Stack Development: Utilize front-end technologies like JavaScript, HTML, and CSS to craft user-friendly interfaces, and back-end technologies such as Python and Java to manage data processing and application logic.
Data Integration: Design and implement data pipelines to integrate data from various sources into the Foundry platform, ensuring data quality and consistency.
Collaboration: Work closely with subject matter experts (SMEs) to understand business requirements and translate them into functional applications within Foundry.
Application Development: Develop custom applications on the Foundry platform, including complex data analysis tools, decision support systems, and operational dashboards.