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Full Stack Data Engineer Jobs in San Jose, CA (NOW HIRING)

Factory

Software Engineer, Data

San Francisco, CA · On-site

$134K - $162K/yr

You'll architect and evolve the full data stack, designing the pipelines, models, and integrations that turn raw information into reliable, real-time insight across product, engineering, finance, and ...

Bedrock Data

Engineer, Full Stack

San Mateo, CA · On-site

Bedrock Data is a company focused on revolutionizing data security through their innovative Metadata Lake. They are seeking an experienced full stack engineer to help build their cloud security ...

Weekday AI

Full Stack Engineer

San Francisco, CA · On-site

$180K - $250K/yr

... Full Stack Engineer with a strong background in AI-driven application development , Python ... Collaborate with data scientists to integrate machine learning models into production systems ...

Weekday AI

Full Stack Engineer

San Francisco, CA · On-site

$180 - $250/hr

... Full Stack Engineer with a strong background in AI-driven application development , Python ... Collaborate with data scientists to integrate machine learning models into production systems ...

Weekday AI

Full Stack Engineer

San Francisco, CA · On-site

$180K - $250K/yr

... Full Stack Engineer with a strong background in AI-driven application development , Python ... Collaborate with data scientists to integrate machine learning models into production systems ...

Bedrock Data

Engineer, Full Stack

San Mateo, CA · On-site

$150K - $230K/yr

About Bedrock Data Data is moving faster than security can keep up, fragmented across clouds, SaaS ... About The Role To round out our team, we're looking for an experienced full stack engineer to help ...

Nexusflow.ai, Inc.

Full-Stack Engineer

Palo Alto, CA · On-site

Full-Stack Engineer Nexusflow is currently adding Full-Stack Engineers to our team. Our full-stack ... AWS). * Passion for application & platform systems involving ML models, data pipeline and ...

Bloom Energy

Stack Data Analysis Engineer

San Jose, CA · On-site

$95K - $136K/yr

Stack Data Analysis Engineer Role and Responsibilities * Monitor and analyze data from critical components for yield, performance, and capacity increase activities * Develop engineering software tool ...

Sawmills.AI Inc.

Full Stack Engineer

San Francisco, CA · On-site

$180 - $240/hr

As a Full Stack Engineer at Sawmills.ai, you will be instrumental in building our Telemetry Data Management Platform. This role involves designing and developing both scalable backend systems that ...

New

David AI

Product Engineer, Full Stack

San Francisco, CA · On-site

$165K - $225K/yr

We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models ... About this role As a Full Stack Engineer at David AI, you'll build cutting-edge tools that help our ...

David AI

Staff Full Stack Engineer

San Francisco, CA · On-site

$195K - $315K/yr

We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models ... About this role As a Staff Full Stack Engineer at David AI, you'll lead our engineering team in ...

Bloom Energy

Stack Data Analysis Engineer

San Jose, CA · On-site

$95K - $136K/yr

Stack Data Analysis Engineer Role and Responsibilities * Monitor and analyze data from critical components for yield, performance, and capacity increase activities * Develop engineering software tool ...

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All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in San Jose, CA

Full Stack Data Engineer information

See San Jose, CA salary details

$52.2K

$157.9K

$223.3K

How much do full stack data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for full stack data engineer in San Jose, CA is $157,950.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,100.00 and $185,200.00 per year, depending on experience, location, and employer.

What is a full stack data engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.

How does a full stack data engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What are the key skills and qualifications needed to thrive as a full stack data engineer, and why are they important?

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Full Stack Data Engineer jobs in San Jose, CA?

For Full Stack Data Engineer jobs in San Jose, CA, the most frequently searched job titles are:

What job categories do people searching Full Stack Data Engineer jobs in San Jose, CA look for?

The top searched job categories for Full Stack Data Engineer jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Full Stack Data Engineer jobs?

Cities near San Jose, CA with the most Full Stack Data Engineer job openings:

Full Stack Data Engineer jobs near you
Infographic showing various Full Stack Data Engineer job openings in San Jose, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $157,950 per year, or $75.9 per hour.

Full Stack Data Engineer : 26-02060

Akraya Inc.

Santa Clara, CA • On-site, Remote

$80 - $85/hr

Temporary

Re-posted 5 days ago

Job description


Primary Skills: Data Engineering (Expert), Python (Expert), Google Cloud Platform - BigQuery & Vertex AI (Advanced), Machine Learning & AI (Advanced), SQL (Expert)
Contract Type: W2 Only
Duration: 9+ Months
Location: Remote (Anywhere in the U.S.)
Pay Range: $80 - $85 on W2
Job Summary:
We are seeking a Staff Data Engineer, Full Stack to design and build scalable data platforms while driving AI/ML initiatives that deliver actionable business insights. This hybrid Data Engineering and Data Science role requires expertise in data pipelines, cloud-based analytics, machine learning, and generative AI to develop robust analytical datasets, deploy production-grade ML models, and enable customer analytics solutions across the enterprise.
Key Responsibilities:
  • Design, develop, and maintain scalable data architectures and analytical datasets for reporting, business intelligence, and machine learning.
  • Build and optimize batch and real-time data pipelines using cloud-native technologies.
  • Develop, deploy, and monitor machine learning models for customer analytics, churn prediction, marketing attribution, and business optimization.
  • Design feature engineering pipelines and support end-to-end AI/ML model lifecycle from development through production.
  • Implement AI-powered solutions and optimize Generative AI/LLM-based applications and AI agents.
  • Partner with Product, GTM, Customer Success, Finance, and Engineering teams to translate business challenges into data-driven solutions.
  • Develop dashboards and visualizations using Tableau, Looker, or similar BI tools.
  • Perform code reviews, improve engineering best practices, and support scalable, secure cloud-based data platforms.
Must-have Skills:
  • 8+ years of experience in Data Engineering, Data Science, or Analytics Engineering.
  • Expert-level programming skills in Python and advanced SQL.
  • Strong experience designing and maintaining scalable data pipelines for analytics and machine learning.
  • Experience implementing Big Data solutions for batch and real-time processing.
  • Hands-on experience with Google Cloud Platform (GCP), including BigQuery and Vertex AI.
  • Experience building optimized analytical datasets for reporting, feature engineering, and business intelligence.
  • Experience developing dashboards using Tableau, Looker, or similar visualization platforms.
  • Strong knowledge of cloud data architecture, ETL/ELT frameworks, and data modeling.
  • Excellent analytical, problem-solving, and stakeholder communication skills.
Nice-to-have Skills:
  • Experience with Generative AI, LLMs, LangChain, LlamaIndex, or Hugging Face frameworks.
  • Experience evaluating and optimizing AI agents and conversational AI systems.
  • Knowledge of causal inference, time-series forecasting, and advanced statistical modeling.
  • Experience implementing data security, governance, and role-based access controls.
  • Background in Customer Analytics, Customer Success, Marketing Analytics, or Professional Services.
  • Experience with streaming technologies and modern data orchestration frameworks.
Preferred Qualifications:
  • MS or PhD in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field.
  • Proven experience delivering end-to-end AI/ML solutions in cloud environments.
  • Experience working in Agile environments with modern software engineering and DevOps practices.
  • Strong ability to lead technical initiatives, work independently, and drive projects from concept through production deployment.

ABOUT AKRAYA
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in Tech Staffing
As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires!
Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!
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About Akraya

Sourced by ZipRecruiter

Akraya is an award-winning IT staffing firm and the staffing partner of choice for many leading companies across the US. Akraya was recently voted as a 2021 Best Staffing Firm to Temp for by Staffing Industry Analysts and voted by our employees and consultants as a 2022 Glassdoor Best Places to Work.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2001

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