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Full Stack Data Engineer Jobs in Oregon (NOW HIRING)

OR · On-site

As a Full Stack Software Engineer at BetterHelp, you'll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for ...

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

You will operate as a full-stack generalist within the engineering pod, sharing cross-functional ... Manager of Data Engineering What You'll Do: * Architect for the Future: Optimize our existing ...

Minimum 2-3 years of software engineering experience * Have built mobile apps (and/or web apps) full-stack before * Enthusiastic about photo sharing and/or AI and/or social media

Senior Full Stack Web Developer

Salem, OR · On-site

$55.20 - $61.33/hr

We are seeking a visionary engineer to step into a pivotal role, driving the development of ... Must-Have Qualifications * 5+ years of professional experience in full stack software development.

Minimum 2-3 years of software engineering experience * Have built mobile apps (and/or web apps) full-stack before * Enthusiastic about photo sharing and/or AI and/or social media

Minimum 2-3 years of software engineering experience * Have built mobile apps (and/or web apps) full-stack before * Enthusiastic about photo sharing and/or AI and/or social media

Minimum 2-3 years of software engineering experience * Have built mobile apps (and/or web apps) full-stack before * Enthusiastic about photo sharing and/or AI and/or social media

Support experimentation and iterative improvements to borrower flows, using data and feedback to ... Full-stack experience contributing to backend services and APIs in a language such as Python, Java ...

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 Aug 19, 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 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:

What cities in Oregon are hiring for Full Stack Data Engineer jobs?

Cities in Oregon with the most Full Stack Data Engineer job openings:

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.

Cyber Full-Stack Technical Software Engineer

Deloitte

Portland, OR

Full-time

Re-posted 24 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services


Job description

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture.


Recruiting for this role ends on 12/31/2026.

The Team:

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Position Summary

You will be responsible for individually delivering high quality products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. 

Work you will do:

  • 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

Required Qualifications

We require 3-5 years of experience for all skill areas below:

  • Hands-on 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
  • Bachelor's degree in computer science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a related field.
  • Limited immigration sponsorship may be available

Preferred Qualifications

  • 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.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberCtBEngg

Qualifications:

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture.


Recruiting for this role ends on 12/31/2026.

The Team:

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Position Summary

You will be responsible for individually delivering high quality products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. 

Work you will do:

  • 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

Required Qualifications

We require 3-5 years of experience for all skill areas below:

  • Hands-on 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
  • Bachelor's degree in computer science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a related field.
  • Limited immigration sponsorship may be available

Preferred Qualifications

  • 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.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberCtBEngg

Education:Bachelor's DegreeEmployment Type:

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