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Full Stack Data Analyst Developer Jobs in Santa Clara, CA

Natera

Software Engineer, Full Stack

San Carlos, CA · On-site

... reliable, developer-friendly REST microservice APIs * Design, build, and maintain highly ... Experience with data warehousing and analytics, especially Snowflake and dbt * Experience with ...

Archer

Staff Software Engineer, Full Stack

San Jose, CA · On-site

$173K - $216K/yr

Develop scalable full-stack web applications that automate workflows for engineering, operations ... Bachelor's or Master's Degree in Computer Science, Aerospace Engineering, Data Analytics, or a ...

Skild AI

Full Stack Developer

San Mateo, CA · On-site

Position Overview We are seeking a Full Stack Developer to help build and maintain our cloud infrastructure and web applications. This role requires expertise in modern web technologies and a strong ...

Akidev Corporation

Senior Full-Stack Java Developer

Fremont, CA · On-site

$57.50 - $74.25/hr

Senior Full-Stack Java Developer Location: This is an on-site position based at Fremont, CA office ... Work with both MongoDB and PostgreSQL to manage and optimize our data infrastructure. * Collaborate ...

Staffingine LLC

Full Stack Java Developer

San Jose, CA · On-site

$61.50 - $79.50/hr

Full Stack Java Developer Job Location: San Jose, CA Job Type: Contract * Design and develop ... Build data access layers using JPAHibernate and MongoDB drivers implement schema design indexing ...

Range Energy

Full Stack SW Engineer

Mountain View, CA · On-site

As a Full Stack SW Engineer, you will develop user-facing applications and backend systems that ... data pipelines and analytics features to support decision-making and optimization • Improve ...

Adobe

Full Stack Engineer

San Jose, CA · On-site

Contribute to developer experience: tooling, local development loops, CI/CD ergonomics, and the ... Collaborate across Adobe's platform, infrastructure, data, and security teams to ensure the Agentic ...

INTELLISWIFT INC

Full stack developer

San Ramon, CA · On-site

Full Stack Developer Location: San Ramon, CA Duration: 6 Months Fullstack developer Front end : Java script, html, CSS, any JavaScript libraries Should be good in java Back end : Oracle Responsive ...

Matic Robots

Full Stack Engineer

Mountain View, CA · On-site

... data pipelines that stream real-time fleet telemetry from thousands of robots to intuitive ... AWS, analytics, customer support) with a keen eye for security best practices. • A hunger to ...

Staffingine LLC

Java Full Stack Developer

San Jose, CA · On-site

$61.50 - $79.50/hr

Java Full Stack Developer Job Location: San Jose, CA Job Type: Contract * 8+ yr experience ... Ensure application security and data protection * Stay UpToDate with emerging technologies and ...

Staffingine LLC

Java Full Stack Developer

San Jose, CA · On-site

$61.50 - $79.50/hr

Java Full Stack Developer Job Location: San Jose, CA Job Type: Contract * 8+ yr experience ... Ensure application security and data protection * Stay UpToDate with emerging technologies and ...

Tech Mahindra

Full Stack Developer (.NET)

San Ramon, CA · On-site

Role: Full Stack Web Developer (.NET) Location: San Ramon, CA Fulltime Required Skills: * Full stack development knowledge in .Net * Microservices development experience on Azure * API management in ...

Perfict

Full stack Engineer

Dublin, CA · On-site

Job Summary : Perfict is a company seeking a Full Stack Engineer to enhance their software ... Oracle SQL and legacy data models • Collaborate daily with frontend/backend peers for ...

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Full Stack Data Analyst Developer information

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

As of Aug 15, 2026, the average hourly pay for full stack data analyst developer in Santa Clara, CA is $69.60, according to ZipRecruiter salary data. Most workers in this role earn between $57.88 and $80.19 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.

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.

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.

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Full Stack Data Analyst Developer jobs near you

Software Engineer, Full Stack

Natera

San Carlos, CA • On-site

Full-time

Re-posted 16 days ago

Natera rating

7.7

Company rating: 7.7 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

56th of 120 rated laboratories

Job description

POSITION LOCATION & DURATION:

This is a six-month hybrid (one day a week onsite in San Carlos, CA) contract role with hourly compensation. There is potential to extend or convert to full-time based on performance and business needs.

POSITION SUMMARY: 

As a Software Engineer, Full Stack you will design, develop, and maintain full-stack software applications, APIs, and data services that support our Sample Management and analytics platform. You have experience building user-facing web applications and have a passion for great user experience with a great eye for design. You're comfortable leveraging APIs and services, local and cloud-based, to deliver these experiences to users. You'll use these skills, along with tools like React, TypeScript, Python, FastAPI, Snowflake, dbt, AWS (ECS Fargate, Lambda, S3), and AWS CDK. Together with the talented Engineering Team, Product Managers and Designers, you will work on new and exciting experiences for our customers.

PRIMARY RESPONSIBILITIES:

  • Work closely with the architecture and product teams to drive complex system design
  • Perform code reviews and mentor the development team with best practices
  • Make key design and technical implementation decisions on complex systems and help guide engineering vision
  • Work closely with stakeholders to define requirements, and transform them into highly scalable and reliable, developer-friendly REST microservice APIs
  • Design, build, and maintain highly sustainable systems to support our business applications, including data pipelines and analytics services on Snowflake

QUALIFICATIONS:

  • 5+ years of overall software development experience, preferably secure, scalable web applications with frontend and backend web technologies

The following are specifically desirable:

  • Experience with TypeScript
  • Experience with Python and modern backend frameworks, especially FastAPI (with Pydantic and Uvicorn)
  • Experience designing and building RESTful APIs
  • Experience with React for frontend development, ideally with Material UI and Vite
  • Experience with Docker, AWS ECS (Fargate), and infrastructure-as-code using AWS CDK
  • Experience with cloud providers, AWS is preferred
  • Experience with data warehousing and analytics, especially Snowflake and dbt
  • Experience with databases including SQL (PostgreSQL, MySQL) and cloud data platforms
  • Experience with micro-service enterprise architecture, cross-platform integration, and building scalable applications in heterogeneous environments
  • Experience with the software development lifecycle process from build, software configuration, change control, and release and deployment activities
  • Strong relational database skills including database design and optimization
  • Demonstrated teamwork skills with a solid analytical background
  • Excellent organizational, communication, presentation, and facilitation skills

KNOWLEDGE, SKILLS, AND ABILITIES

  • Full-stack web application programming
  • JavaScript / TypeScript
  • Python (FastAPI, Pydantic, Pandas)
  • React (with Material UI, built via Vite)
  • Relational Database and SQL Programming, prefer PostgreSQL or MySQL
  • Snowflake and dbt for data warehousing and transformation
  • REST APIs and other web service backend technologies
  • AWS infrastructure
  • AWS Services, such as ECS (Fargate), Lambda, S3, SQS/SNS, CloudFront, ECR, EFS, Secrets Manager, and Redshift
  • Infrastructure-as-code with AWS CDK (TypeScript)
  • Docker and container-oriented technologies
  • CI / CD, specifically GitLab CI
  • Automated testing with pytest, Vitest, and Playwright
  • Identity and integration platforms such as Okta (SSO), Jira, and Slack
  • Quality Assurance Mindset; Nice to have: familiarity with regulated environment

What Natera employees say

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