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

Data Visualization Engineer 4

Beaverton, OR · On-site

$119K - $143K/yr

Job Title- Data Visualization Engineer 4 Reporting Type- Beaverton, OR 97005 Work Timing- Monday to Friday, 9am to 5pm Duration: 06 months Job Type: Hybrid (4 Days onsite/week) *W2 candidates only ...

Sr Data Engineer (Databricks)

Camas, WA · On-site

$126K - $151K/yr

Wealth Management Position: Sr Data Engineer (Databricks) Compensation: $130K - $150K + Bonus Location: First 90 days on site and then 1 day a week WFH either in Camas, WA or Plano, TX Work ...

Sr Data Engineer (Databricks)

Camas, WA · On-site

$126K - $151K/yr

Wealth Management Position: Sr Data Engineer (Databricks) Compensation: $130K - $150K + Bonus Location: First 90 days on site and then 1 day a week WFH either in Camas, WA or Plano, TX Work ...

Data Engineer

Portland, OR · On-site

$121K - $145K/yr

Common Technical Skills For all teams: a. AWS (S3, SNS, SQS, API Gateway,...(and standard stacks)) b. Authentication c. BMX Jenkins with declarative pipelines d. Waffle Iron e. Terraform or Cloud ...

Position Summary The Data Engineer role on the Data Science Team (DST) is responsible for designing, maintaining, and enhancing data integration pipelines that support the Enterprise Data Warehouse ...

Senior Data Engineer

Portland, OR · Remote

$112K - $152K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of enterprise data into the firm's finance applications, as well as creating validation reports ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

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Showing results 1-20

Data Engineer Data information

See Portland, OR salary details

$48.8K

$175K

$258.2K

How much do data engineer data jobs pay per year?

As of Jul 6, 2026, the average yearly pay for data engineer data in Portland, OR is $175,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,600.00 and $180,300.00 per year, depending on experience, location, and employer.

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

What is the difference between Data Engineer Data vs Data Analyst?

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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 solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
What cities near Portland, OR are hiring for Data Engineer Data jobs? Cities near Portland, OR with the most Data Engineer Data job openings:

Data Visualization Engineer 4

campus4tech

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Posted 15 days ago


Job description

Job Title- Data Visualization Engineer 4
Reporting Type- Beaverton, OR 97005
Work Timing- Monday to Friday, 9am to 5pm
Duration: 06 months
Job Type: Hybrid (4 Days onsite/week)
*W2 candidates only, no C2C or Third Party Vendors
Experience
- 5+ years' experience
Responsibilities
- Candidates should be able to navigate variant data sources and be able to trace back to the source of truth from code
- Will work with ~10-12 people on direct team: principal engineers; domain partners (leadership, VP level); other software engineers; cost analysts & finance partners
- This role is priority, and the team will be prioritizing those who can start ASAP
- The HM would like suppliers to let potential candidates know of DTL weeks in December so that they aren't blindsided by that down the road
Please advertise my role as DATA/VISUALIZATION ENGINEER, not just visualization engineer. Data experience will be key in this position.
The team will prioritize those candidates who can start ASAP.
Requirements
Top skills include the following:
- Data/visualization engineering skills
- Ability to trace back data code to find the source of truth
- Experience with Azure and AWS
- Ability to write and understand code (Python)
- SQL experience
- Power BI experience
Necessary soft skills:
- Ability to work independently AND in a dynamic team environment
- Ability to document processes and teach others
Skills that would make someone stand out:
- Financials knowledge
- Prior automation experience