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Full Stack Data Engineer Jobs in Portland, OR (NOW HIRING)

No C2C Full Stack Web Developer Duration: 12 month contract w/ possible extensions Location: Beaverton, Oregon (Only Locals) We are looking for an experienced full stack Web Developer who can develop ...

AI Full Stack Engineer

Hillsboro, OR · On-site

  • Medical

  • Retirement

  • PTO

Build and maintain trusted relationships with AI developers, full-stack software engineers, cloud developers, and technical communities worldwide. * Technical Evangelism : Represent Intel at ...

In this role, you will combine hands-on engineering experience, developer advocacy, and technical communication to engage full-stack developers workingacrossweb,cloud, client, edge ...

Strong programming expertise in JavaScript and React/Redux Strong programming expertise in Java building production services Proficiency with AI tooling and agentic workflows Experience in full stack ...

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Showing results 1-20

Full Stack Data Engineer information

See Portland, OR salary details

$47.2K

$142.9K

$202K

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

As of Aug 19, 2026, the average yearly pay for full stack data engineer in Portland, OR is $142,925.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,700.00 and $167,600.00 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 Portland, OR?

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

What job categories do people searching Full Stack Data Engineer jobs in Portland, OR look for?

The top searched job categories for Full Stack Data Engineer jobs in Portland, OR are:

Infographic showing various Full Stack Data Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $142,925 per year, or $68.7 per hour.

Contractor

Re-posted 17 days ago


Job description

Types of Resource(s): Javascript Full Stack/Data engineer
a. Javascript (Express.js) /python (serverless framework) [Admin/ETL]
b. ReactJS
c. NSP, NIFI, EMR (Spark jobs), airflow
d. Graph Databases (AWS Neptune)