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Data Engineer Jobs in Portland, OR (NOW HIRING)

campus4tech

Data Engineer

Beaverton, OR · On-site

Job Title- Data Engineer 5 Location- Beaverton, OR, United States, 97005 Reporting Type- Onsite Duration: 9+ Months Summary GT Title: Data Engineer Requirements Typically requires a Bachelors Degree ...

Futran Tech Solutions Pvt. Ltd.

Data engineer

Beaverton, OR · On-site

$120K - $144K/yr

Data Engineer Primary Responsibilities • Support Data Science team by applying data mining techniques, feature engineering, algorithm optimization and scaling machine learning models in big data ...

Fisher Investments

Data Engineer

Camas, WA

We are looking for a Data Engineer to support our Enterprise Data Management team. If you are looking for an opportunity to make a difference as we develop scalable and strategic solutions to support ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR

$119K - $143K/yr

Overview As a Financial Data Engineer, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Overview As a Financial Data Engineer, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a ...

Milliman

Data Engineer (MedInsight)

Portland, OR · On-site +1

$93K - $177K/yr

We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data solutions that power healthcare insights at scale. This role is ideal for someone with experience in ...

New

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR

$119K - $143K/yr

As a Financial Data Engineer, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a Financial Data ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Overview As a Financial Data Engineer, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a ...

Pwc

Data Engineer - Manager

Portland, OR · On-site

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Associate

Portland, OR · On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Manager

Portland, OR · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Portland, OR

Data Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do data engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data engineer in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, 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 Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Portland, OR? The most popular types of Data Engineer jobs in Portland, OR are:
What are popular job titles related to Data Engineer jobs in Portland, OR? For Data Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Portland, OR look for? The top searched job categories for Data Engineer jobs in Portland, OR are:
What cities near Portland, OR are hiring for Data Engineer jobs? Cities near Portland, OR with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Portland, OR as of June 2026, with employment types broken down into 89% Full Time, and 11% Nights. Highlights an 100% In-person job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

Data Engineer

BizTek People, Inc. | APA International Placement Consultants

Beaverton, OR • On-site

$120K - $144K/yr

Contractor

Posted 7 days ago

Job description

Job Description
Job Duties:
• Develop and support data solutions in support of Sustainability reporting and analytics requirements
• Engage with product owner, technology lead, report developers, product analysts, and business partners to understand capability requirements and develop data solutions based on product backlog priorities
Requirements
Skills / Qualifications:
• 5+ years of experience with data engineering with emphasis on data analytics and reporting
• Strong experience with Python or equivalent language
• Experience developing with Spark, preferably leveraging AWS EMR managed service
• Expert experience with SQL and Relational database engineering (Oracle, SQL Server, Teradata)- expert-level SQL abilities
• Experience with AWS data engineering services, resources and architecture
• Experience with agile delivery methodologies- Scrum, SAFe, Extreme Programming
• Experience working with source-code management tools such as GitHub and Jenkins
• Understanding of microservices architecture and REST APIs
Skill Set
Data, Python, Spark

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