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Senior Data Engineer Jobs in Oregon (NOW HIRING)

Under Armour, Inc.

Sr. Data Analytics Engineer

OR · Remote

$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 ...

Instacart

Senior Data Scientist (I & II)

OR · On-site +1

You'll partner closely with Product, Engineering, and ML to shape the roadmap for search relevance ... Marketing | Sr. Data Scientist I (L5) The Marketing Data Science team is responsible for ...

Amerilife Group, LLC

Senior Data Architect

OR · On-site +1

$67.25 - $90/hr

Job Summary The Senior Data Architect is a senior technical leader responsible for defining ... This individual partners closely with engineering, analytics, governance, and business teams while ...

Montefiore

Senior Data Architect

Odell, OR

$69 - $92.25/hr

Evaluate and recommend technologies, tools, and platforms for data engineering, analytics, and AI ... senior leadership on data and AI architecture decisions. Mentor and guide data engineers ...

Pwc

Data Engineer - Senior Manager

Portland, OR · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Senior Associate

Portland, OR

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Wellbe Senior Medical

Data Engineer

$90K - $135K/yr

Job Summary As a Data Engineer at Wellbe you will play a pivotal role in collecting, processing ... As a condition of employment, WellBe Senior Medical requires all candidates to successfully ...

ICI Services

Our diverse team of acquisition experts, financial analysts, engineers, logisticians, IT ... Senior Data Scientist must have knowledge of and access to program datasets and broader information ...

YipitData

Senior Data Engineering Manager

OR · On-site +1

We are looking for a highly skilled Senior Data Engineering Manager to lead one of our data engineering teams. This is a hands-on player-coach role for someone who can develop engineers, guide ...

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Showing results 21-40

All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Oregon

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 Aug 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.

What is a senior data engineer?

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 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.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

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 are popular job titles related to Senior Data Engineer jobs in Oregon?

For Senior Data Engineer jobs in Oregon, the most frequently searched job titles 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 jobs near you
Infographic showing various Senior Data Engineer job openings in Oregon as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $133,565 per year, or $64.2 per hour.

Senior Data Engineer

BizTek People, Inc. | APA International Placement Consultants

Beaverton, OR • On-site

$110K - $149K/yr

Contractor

Re-posted 4 days ago

Job description


Responsibilities
• Design and implement distributed data processing pipelines using Spark, Hive, Sqoop, Python, and other tools and languages prevalent in the Hadoop ecosystem.Ability to design and implement end to end solution.
• Build utilities, user defined functions, and frameworks to better enable data flow patterns.
• Research, evaluate and utilize new technologies/tools/frameworks centered around Hadoop and other elements in the Big Data space.
• Build and incorporate automated unit tests, participate in integration testing efforts.
• Work with teams to resolving operational & performance issues
• Work with architecture/engineering leads and other teams to ensure quality solutions are implements, and engineering best practices are defined and adhered to.
Qualifications
• MS/BS degree in a computer science field or related discipline
• 6+ years' experience in large-scale software development
• 2+ year experience in Hadoop
• 2+ year experience in Data Science
• Strong development skills around Hadoop, Spark, MapReduce, Hive
• Strong Java programming, Python, shell scripting, and SQL
• Good understanding of file formats including Parquet, Avro, JSON and others
• Good understanding of R, TensorFlow, SAS or similar
• Experience with performance/scalability tuning, algorithms and computational complexity
• Experience (at least familiarity) with data warehousing, dimensional modeling and ETL development
• Proven ability to work cross functional teams to deliver appropriate resolution
Nice to have
• Experience with AWS components and services, particularly, EMR, S3, and Lambda
• Front end UI development experience, specifically Node JS or Angular JS
• Machine learning frameworks

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