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Senior Data Engineer Jobs in Oregon (NOW HIRING)

Senior Data Engineer

Portland, OR · Remote

$112K - $152K/yr

Senior Data Engineer | Remote | Healthcare / Payer Experience Preferred We're looking for a Senior Data Engineer to support a critical healthcare data integration initiative focused on North Dakota ...

New

OR

$105K - $143K/yr

As a Senior Data Engineer on this team, you will play a critical role in the design, implementation, and maintenance of our data infrastructure and pipelines that supports the business needs. You'll ...

Senior Data Engineer

$105K - $150K/yr

Job Summary As a Senior Data Engineer at WellBe you will play a pivotal role in collecting, processing, and analyzing large datasets to derive meaningful business insights. You will collaborate with ...

Senior Data Engineer

OR · Remote

$120K - $160K/yr

How This Role Makes a Difference We are seeking an experienced and detail-oriented professional to join our team as a Senior Data Engineer . In this pivotal role, you will be responsible for ...

Senior Data Engineer (Governance Focus)

Portland, OR · On-site

$110K - $152K/yr

Senior Data Engineer (Governance Focus) The Role We are looking for a Senior Data Engineer with a strong foundation in modern data engineering and DevOps, and a clear focus on data and AI governance.

Senior Data Engineer

OR · On-site +1

$147K - $178K/yr

As a Senior Data Engineer at dbt Labs, you'll build and maintain the core data platform infrastructure that powers our internal analytics and data products. You'll own the platform that makes data ...

Senior Data Engineer

OR · Remote

$105K - $143K/yr

About the Role As a Senior Data Engineer focused on AI/ML , you'll architect, build, and operate the specialized data infrastructure that powers Tebra's intelligent features. You will serve as a ...

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

We are looking for a Senior Data Engineer to take ownership of this massive daily ingestion engine. Working within a Ruby on Rails and Resque environment, backed by AWS RDS Postgres and Aurora as ...

OR

$105K - $143K/yr

We are seeking a Senior Data Engineer to design, build, and take full ownership of the data infrastructure powering our investment operations. You will own the complete data lifecycle, spanning ...

OR · On-site

$114K - $137K/yr

We are looking for a Senior Data Engineer to help evolve and scale our modern data ecosystem, including our data lake, data warehouse, and machine-learning enablement platforms. This role will ...

Senior Data Analytics Engineer

OR · On-site +1

$130K - $175K/yr

We are seeking an innovative Senior Data Engineer to join our Startup AI and Data Analytics Business Unit. This role is a critical bridge, connecting technical engineering with business strategy.

Sr Data Engineer, Agentic AI

Portland, OR

$121K - $145K/yr

Senior Data AI Engineer (Snowflake / Semantic Modeling / Agentic AI) We're looking for a Senior Data AI Engineer to help build the foundation for next-generation AI and analytics capabilities within ...

New

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will ...

New

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Showing results 1-20

Senior Data Engineer information

See Oregon salary details

$85.6K

$133.6K

$185K

How much do senior data engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for senior data engineer in Oregon is $133,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $152,200.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, build, and maintain data infrastructure. Data engineers are essential for managing complex data pipelines, ensuring data quality, and implementing AI models effectively within organizations. Proficiency in programming, cloud platforms, and data management tools remains critical for the role.

What is the highest salary for a senior data engineer?

The highest salaries for senior data engineers can exceed $150,000 to $200,000 annually, especially in high-cost-of-living areas or with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark or Hadoop. Compensation may also include bonuses, stock options, and other benefits depending on the company and location.

What are Senior Data Engineers?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What engineer makes $500,000 a year?

Senior Data Engineers with extensive experience, advanced skills in data architecture, and expertise in tools like Spark, Hadoop, or cloud platforms can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, or other incentives.

What engineers make $300,000 a year?

Senior Data Engineers and other highly experienced engineering roles in fields like software, machine learning, and cloud infrastructure can earn $300,000 or more annually, especially with advanced skills, certifications, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, reflecting expertise and responsibility levels.

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

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
What are the most commonly searched types of Data Engineer jobs in Oregon? The most popular types of Data Engineer jobs in Oregon are:
What job categories do people searching Senior Data Engineer jobs in Oregon look for? The top searched job categories for Senior Data Engineer jobs in Oregon are:
What cities in Oregon are hiring for Senior Data Engineer jobs? Cities in Oregon with the most Senior Data Engineer job openings:
What are popular job titles related to Senior Data Engineer jobs in OR? For Senior Data Engineer jobs in OR, the most frequently searched job titles are:
Senior Data Engineer

Senior Data Engineer

Mainz Brady Group

Portland, OR • Remote

$112K - $152K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Senior Data Engineer | Remote | Healthcare / Payer Experience Preferred


We’re looking for a Senior Data Engineer to support a critical healthcare data integration initiative focused on North Dakota affiliation integration.

This person will design and implement scalable data models, pipelines, transformations, and application components while partnering closely with Product, QA, and engineering teams to deliver key project milestones.


What You’ll Be Doing:

Design and build scalable data pipelines and data models

Develop advanced SQL using CTEs, complex joins, analytic functions, and windowing functions

Build and optimize DBT models, macros, packages, and reusable components

Troubleshoot Snowflake performance issues and production data problems

Support data profiling, validation, data quality frameworks, and testing strategies

Partner with Product and QA to refine requirements and validate outcomes

Participate in code reviews and help drive long-term technical solutions


Must-Haves:

Expert-level SQL experience

Strong understanding of CTEs, complex joins, analytic/windowing functions

Python experience required; intermediate or higher preferred

Hands-on Snowflake experience preferred

DBT experience preferred

Strong data profiling skills, including keys, cardinality, data types, precision, scale, and skew

Strong communication skills and ability to work cross-functionally


Nice to Have:

Healthcare or payer experience

Data modeling experience

CI/CD experience for DBT deployments

This is a great opportunity for a Senior Data Engineer who enjoys solving complex data problems, improving performance, and driving high-impact delivery in a healthcare environment.