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Full Stack Data Analyst Developer Jobs in California

Releady

Full Stack Data Engineer - Senior

San Diego, CA · Hybrid

$70 - $85/hr

Implement CI/CD practices using Git repositories and modern DevOps tools * Participate in an Agile ... data modelers, analysts, and business partners Qualifications * Bachelor's degree in Computer ...

Releady

Full Stack Data Engineer - Senior

Sacramento, CA · Hybrid

$70 - $85/hr

Implement CI/CD practices using Git repositories and modern DevOps tools * Participate in an Agile ... data modelers, analysts, and business partners Qualifications * Bachelor's degree in Computer ...

VBeyond

Lead Data Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

DataStage (ETL) * SQL-based data warehouse BI / Analytics (Secondary - nice to have, not core ... Full-stack data capability (engineering + some reporting understanding) * Strong backend > BI ...

SynergisticIT

Full Stack Developer

Fremont, CA · On-site

Data Analytics and Engineering -SQL, Power BI, Tableau, Snowflake, Databricks, Python ETL, and more ... Java Full Stack Developers * Data Analysts & BI Engineers * Data Scientists & ML Engineers All visa ...

E-Solutions

Data Analytics & full stack

San Jose, CA · On-site

Data Analytics & full stack Interview Mode: Web Cam Duration: Long Term Location:- San Jose, CA ... engineering, QA, and reliability teams to detect, classify, and prevent recurring issues. • Use ...

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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 are popular job titles related to Full Stack Data Analyst Developer jobs in California? For Full Stack Data Analyst Developer jobs in California, the most frequently searched job titles are:
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:
Full Stack Data Analyst Developer jobs near you
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.
junior full stack developer/Data analyst

junior full stack developer/Data analyst

SynergisticIT

Berkeley, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Turn a Tech Layoff Into a Reset for a Better Career
A layoff can shake your confidence-even if you did nothing wrong. Downsizing, reorganizations, and budget cuts are business decisions, not personal failures. But the job market can still feel brutal: you apply daily, watch automated rejections roll in, and wonder why your experience isn't translating into interviews. The truth is that hiring has shifted. Employers want candidates who match current stacks, show recent hands-on proof, and interview strongly. If you've been out for 3-6+ months, that gap can become an extra filter-unless you deliberately rebuild momentum.
We're actively engaging candidates for full-time opportunities aligned to client needs: software programming, Java full stack development, Java/Python roles, DevOps engineering, and data roles spanning analytics, engineering, science, and ML/AI. Our primary focus remains Java/Full Stack/DevOps and Data/Engineering/Analytics/ML.
SynergisticIT since 2010 has helped candidates land full-time roles at major organizations (examples often listed include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Client, Client, Wayfair, and others), with offers in the $95k-$154k range depending on role and stack.
Why laid-off candidates often struggle (even with experience)
After a layoff, two things happen:
  1. Your skills may be solid, but your keywords and tools may be slightly behind the market.
  2. Your interview performance may drop because stress makes you second-guess.
Also, employers increasingly expect hybrid capability: not just "I coded," but "I can build + deploy + collaborate + document + explain." That's especially true for Java full stack, DevOps, data engineering, and ML/AI.
What roles are commonly in demand right now
Laid-off candidates often do best targeting roles that map to consistent enterprise demand. The main lanes include:
  • Entry-level to mid-level software engineering roles (especially backend/full stack)
  • Java full stack roles (enterprise stability)
  • Java/Python developer roles (flexibility across teams)
  • DevOps/Cloud roles (automation, pipelines, reliability)
  • Data roles (analytics → engineering → ML/AI)
why placement support matters
  • rebuild a job-ready portfolio fast
  • adjust your resume and LinkedIn for ATS
  • practice interviews under real conditions
  • get scheduled interviews through structured outreach
A layoff recovery plan that actually works
A smart recovery plan is not "apply more." It's:
  • Re-stack: align skills to today's demand (Java/full stack/devops or data/ML).
  • Rebuild proof: projects that look like work, not homework.
  • Rehearse interviews: DSA, system design, SQL, behavioral storytelling.
  • Re-enter pipelines: structured outreach that leads to scheduled interviews.
If you follow that with consistent coaching and iteration, your layoff becomes a pivot point-not a pause.
If you're ready to stop refreshing job boards and start rebuilding momentum with support, begin here:
If you want to explore here are the key links:
  • Event videos (OCW, JavaOne, Gartner):
  • USA Today feature
  • Contact form: https://www.synergisticit.com/contact-us/

Please read our blogs
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
The $100k H1B Filing Fee: Implications on U.S. Tech Employment | SynergisticIT
Wage-Based H-1B Filing
What Recruiters Look for in Junior Developers | SynergisticIT
Software engineering or Data Science as a career?
How OPT Students Can Land Tech Jobs - SynergisticIT
Layoff reality: It can happen to anyone. Career recovery is a strategy problem, not a worth problem. In tech, it's not only what you know-it's how you position it and who guides you that determines how quickly you return stronger.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

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