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

Autodesk, Inc.

Principal Full Stack Engineer

Portland, OR · On-site

$139K - $249.26K/yr

... 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 ...

Fisher Investments

Data Engineer

Camas, WA

We are looking for a Data Engineer to support our Enterprise Data Management team. If you are ... the Microsoft Stack (Azure IaaS and PaaS) along with familiarity with alternative cloud ...

Fisher Investments

Data Engineer

Vancouver, WA

We are looking for a Data Engineer to support our Enterprise Data Management team. If you are ... the Microsoft Stack (Azure IaaS and PaaS) along with familiarity with alternative cloud ...

Fisher Investments

Data Engineer

Gresham, OR

We are looking for a Data Engineer to support our Enterprise Data Management team. If you are ... the Microsoft Stack (Azure IaaS and PaaS) along with familiarity with alternative cloud ...

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All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Portland, OR

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 May 31, 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 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 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:
Full Stack Data Engineer jobs near you
Infographic showing various Full Stack Data Engineer job openings in Portland, OR as of May 2026, with employment types broken down into 84% Full Time, 4% Part Time, 3% Temporary, and 9% Contract. Highlights an 75% In-person, 5% Hybrid, and 20% Remote job distribution, with an average salary of $142,925 per year, or $68.7 per hour.
Cyber Full-Stack Developer/Senior Consultant

Cyber Full-Stack Developer/Senior Consultant

Deloitte

Portland, OR • On-site

Full-time

Posted 4 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Job Summary:
Deloitte Cyber is focused on addressing the challenges and opportunities in cybersecurity for businesses. The Cyber Full-Stack Developer/Senior Consultant will be responsible for delivering high-quality products, mentoring junior team members, and collaborating with various stakeholders to implement technical solutions.
Responsibilities:
• Working closely with business, solution engineers, team members and leadership to understand business requirements and deliver high quality technical solutions
• Analyzing, implementing user requirements/business needs as new and/or enhanced product functionality
• Identifying key drivers of a problem and proposes technical solutions using analysis, experience, and decision making
• Developing solutions to client problems through application of methods and tools; validating solutions to SMEs
• Understanding the benefits of using state of the art methods and tools and their application on a particular engagement contributes to continuous development of methods and tools
• Demonstrating accountability and contributions to the successful realization of client goals
Qualifications:
Required:
• 3-5 years of experience in full stack software development across frontend and backend technologies.
• Experience designing, developing, deploying, implementing, or supporting AI, Generative AI, or Agentic AI solutions and architectures in enterprise applications on AWS, Azure, or GCP.
• Experience with object-oriented programming using languages such as Java, Python, or JavaScript/TypeScript.
• Experience with frontend development using Angular, React, or Next.js, and with JavaScript, TypeScript, HTML5, and CSS3 in production environments.
• Experience with at least one backend technology stack: Node.js, Python (Django or Flask), or Java (Spring Boot).
• Experience building and consuming REST APIs and microservices.
• Experience with relational databases such as MySQL, PostgreSQL, SQL Server, or Oracle, and with at least one NoSQL database such as MongoDB, Redis, Cassandra, or DynamoDB.
• Experience using Git and development lifecycle tools such as Azure DevOps.
• Experience with unit testing frameworks such as JUnit, Mockito, or equivalent, and with automated testing and CI/CD pipeline implementation.
• Experience deploying applications, APIs, or analytics workloads to AWS, Azure, or GCP.
• Experience working in Agile/Scrum delivery environments.
• Cloud certification in AWS, Azure, or GCP.
• Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Bachelor's degree in computer science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a related field.
• Experience with Docker, container-based application development, and serverless architectures.
• Experience with secure development practices or cybersecurity-focused application development.
• Hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
• Experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK.
• Experience contributing to project planning, estimation, or risk tracking.
• Experience mentoring junior or mid-level developers, leading code reviews, and providing development feedback.
• Experience partnering with product managers, designers, and business stakeholders to translate requirements into technical solutions.
• Strong written and verbal communication skills in cross-functional team environments.
• Cloud certification in AWS, Azure, or GCP.
• Familiarity with OpenSearch or Elasticsearch.
• Exposure to graph databases such as Neo4j or Memgraph.
• Familiarity with build tools such as Maven or Gradle.
• Experience with Bootstrap, jQuery, or JSP in legacy or mixed-technology environments.
• Familiarity with DevOps or DevSecOps practices.
• Knowledge of web security, GitOps, and Kubernetes customization.
• Basic understanding of AI/ML frameworks such as TensorFlow or PyTorch.
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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