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Full Stack Data Engineer Jobs in Oregon (NOW HIRING)

... engineer to join our Connected Delivery platform team. This platform is responsible for enabling ... You'll be responsible for building a full-stack application that is resilient, scalable, and highly ...

Java Full stack Developer

Beaverton, OR · On-site

$55.25 - $71.50/hr

InterSources Inc is seeking a Java Full Stack Developer. The role requires extensive experience in front-end development for large web applications and proficiency in Java and related technologies.

Full stack .Net developer skills * Ability to work remotely in the US in Central Time with an appropriate home office setup to allow for success in a virtual work environment * A desire to work on a ...

... engineer to join our Connected Delivery platform team. This platform is responsible for enabling ... You'll be responsible for building a full-stack application that is resilient, scalable, and highly ...

We are seeking a Senior Full-stack Engineer to join our Engineering & Integration (E&I) team. The ... data that support Smarsh's diverse business needs. The team is entrusted with conceiving ...

Staff Platform Engineer - Infrastructure

OR · On-site +1

$220K - $300K/yr

You'll collaborate with a global team of full-stack, data, AI, and DevOps engineers to build scalable backend solutions as we continue to grow. We're a small team where individual contributions have ...

Showing results 41-60

Full Stack Data Engineer information

See Oregon salary details

$47K

$142.5K

$201.4K

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

As of Sep 14, 2026, the average yearly pay for full stack data engineer in Oregon is $142,491.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,400.00 and $167,100.00 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 Oregon?

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

What job categories do people searching Full Stack Data Engineer jobs in Oregon look for?

The top searched job categories for Full Stack Data Engineer jobs in Oregon are:

Infographic showing various Full Stack Data Engineer job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $142,491 per year, or $68.5 per hour.

Full Stack Software Engineer - AI Trainer

Beaverton, OR • On-site, Remote

DataAnnotation
Computing Infrastructure Providers, Data Processing, Web Hosting • 10K+ employees

$50 - $100/hr

Contractor

Posted 15 days ago


Job description

About the job:

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for an existing Coder (this is an opportunity to work with us as an independent contractor) to help advance AI development. As a DataAnnotation’s coder, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development.

Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of-the-art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform.

Advantages of contracting with us:

  • You'll be able to choose which projects you want to work on and when
  • You work on your own schedule, on your own computer, from the comfort of your own home
  • Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects

Responsibilities:

  • Give AI chatbots coding challenges and evaluate their outputs
  • Evaluate the quality produced by AI models for correctness and performance

Qualifications:

  • Fluency in English (native or bilingual level)
  • Detail-oriented
  • Experience with algorithms, data structures, and debugging workflows
  • A current, in progress, or completed Bachelor's is preferred but not required

Note:

Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.

#coder


Working at DataAnnotation

Perks for workers

  • Work From Anywhere

  • Set Your Own Hours

  • Competitive Pay

  • Learn Valuable AI Skills

  • No Meetings. No Commute.

  • Work on Your Schedule

  • Make a Real-World Impact

What to expect from working at DataAnnotation

From DataAnnotation