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

Jobsbridge

Full Stack Engineer

Los Angeles, CA · On-site

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. - Bachelor's degree in Computer Science or Engineering or equivalent ...

Jobsbridge

Full Stack Engineer

Los Angeles, CA · On-site

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. - Bachelor's degree in Computer Science or Engineering or equivalent ...

Mondo

Full Stack Engineer

Irvine, CA · Remote

$160K - $190K/yr

Full Stack Engineer, Remote. Start date is ASAP for this Permanent position. Job Title: Full Stack Engineer Location-Type: Remote (PST / MST / CST timezones; overlap with Australia required ...

1 point system

Senior Full-Stack Engineer

Irvine, CA · On-site

Intelligent autofill of team/group data * Automated MIN (Major Incident Notification) workflows ... Strong full-stack engineering experience with a backend-first focus * Hands-on experience with:

Machina Labs

Full Stack Engineer

Los Angeles, CA

$130K - $150K/yr

Machina Labs is seeking a Full Stack Engineer to join our software team and help build the systems ... Background in building real-time data visualization or monitoring dashboards. * Interest in the ...

Hop

Full Stack Software Engineer

Los Angeles, CA · On-site

Full Stack Software Engineer Location: Los Angeles, CA We are seeking highly motivated ... If you would like more information about how your data is processed, please contact us. apply for ...

Hop

Full Stack Software Engineer

Los Angeles, CA · On-site

Full Stack Software Engineer Location: Los Angeles, CA We are seeking highly motivated ... If you would like more information about how your data is processed, please contact us.

Clerkie

Full-Stack Engineer

Los Angeles, CA · Remote

$90/hr

About the role We're looking for a Full-Stack engineer who wants to build, own, and ship end-to-end ... Experience working on data-intensive or complex applications * Familiarity with fintech or ...

Staffactory

Full Stack Developer

Los Angeles, CA · On-site

Position: Full Stack Developer Location: Los Angeles, CA Work Environment: Position is hybrid ... to support data-driven applications. * DevOps & CI/CD Automation: Configure and manage CI/CD ...

EDO

Senior Full Stack Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

You will partner with our Media Analytics and Data Science teams to present our clients with the ... full-stack software engineering, with a track record of delivering end-to-end features at scale.

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Showing results 1-20

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Orange, CA

Full Stack Data Engineer information

See Orange, CA salary details

$47.5K

$144K

$203.5K

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

As of Aug 13, 2026, the average yearly pay for full stack data engineer in Orange, CA is $143,970.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,600.00 and $168,800.00 per year, depending on experience, location, and employer.

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 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.

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 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.

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

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

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

Cities near Orange, 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 Orange, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $143,970 per year, or $69.2 per hour.

Senior Full Stack Software Engineer

Divergent

Torrance, CA

Full-time

Re-posted 19 days ago

Job description

Purpose

Divergent is seeking a Senior Full-Stack Software Engineer to develop and scale software systems that power the next generation of digital manufacturing. This role is ideal for an engineer who thrives on solving complex technical challenges, driving architectural decisions, and delivering business-critical applications across engineering, manufacturing, and factory operations.

As a Senior Engineer, you will own large-scale initiatives from concept through deployment, influence technical strategy, mentor other engineers, and collaborate across disciplines to deliver highly reliable and scalable software platforms. You will operate with significant autonomy and play a key role in advancing the software ecosystem that enables Divergent's automated manufacturing platform.

The RoleFull-Stack Application Development
  • Design, build, and maintain production-grade applications using TypeScript, Node.js, React, and modern web technologies.
  • Develop robust APIs, services, and user experiences that support critical business functions.
  • Deliver complex features and systems from requirements gathering through deployment and operational support.
  • Optimize application performance, reliability, and user experience across the full technology stack.
Data Architecture & Systems Design
  • Design and evolve relational and NoSQL data models supporting large-scale manufacturing and engineering applications.
  • Develop scalable data architectures that enable analytics, automation, and operational decision-making.
  • Ensure system integrity, security, performance, and maintainability across distributed environments.
Cross-Functional Impact
  • Collaborate closely with Product Management, Manufacturing Engineering, Robotics, Design Engineering, and Operations teams.
  • Translate complex business requirements into scalable technical solutions.
  • Serve as a trusted technical advisor to stakeholders across the organization.
  • Lead technical discussions and influence decision-making across multiple teams and projects.
Mentorship & Engineering Excellence
  • Mentor and develop junior and mid-level engineers through technical guidance, code reviews, and design reviews.
  • Promote engineering best practices, software quality, testing strategies, and operational excellence.
  • Drive continuous improvement initiatives across development processes, tooling, and team effectiveness.
  • Foster a culture of collaboration, ownership, and technical excellence.
Basic Qualifications
  • Ability to lawfully access information and technology subject to U.S. export controls.
  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or related discipline; equivalent practical experience considered.
  • 8+ years of professional software engineering experience, including significant full-stack development experience.
  • Expert-level proficiency in TypeScript and Node.js.
  • Extensive experience developing modern web applications using React or comparable front-end frameworks.
  • Strong expertise in relational and NoSQL database design, data modeling, and system architecture.
  • Demonstrated experience designing and delivering large-scale, production-ready software systems.
  • Experience leading complex technical initiatives spanning multiple projects or teams.
  • Strong software design, debugging, performance optimization, and troubleshooting skills.
  • Exceptional written and verbal communication skills.
Preferred Qualifications
  • Experience building software platforms for manufacturing, industrial automation, robotics, aerospace, automotive, or defense environments.
  • Experience with cloud-native architectures, distributed systems, and event-driven applications.
  • Experience with Kubernetes, Docker, and modern infrastructure platforms.
  • Experience building CI/CD pipelines and automated testing frameworks.
  • Experience integrating enterprise systems such as ERP, PLM, MES, or manufacturing execution platforms.
  • Demonstrated track record mentoring engineers and driving technical excellence across teams.
  • Experience influencing technical strategy and architectural direction.
Work Environment
  • This position is based onsite at Divergent's headquarters in Torrance, California.
  • Expected onsite schedule is four days per week.
Compensation

This position is aligned to E05 - Senior Engineer within Divergent's Engineering Career Framework.

E05 - Senior Engineer: $141,380 - $194,390 + Equity 

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