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

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 ...

Senior Data Architect

Beaverton, OR · On-site

$70 - $93.75/hr

Senior Data Architect The Company Wizeline is a global digital services company helping mid-size to ... Work with engineering squads to create physical data designs and business rule implementation

Data Scientist

Vancouver, WA · On-site

$90 - $96/hr

... Senior Data Scientist (SDS) Data Science Council of America (DASCA) Principle Data Scientist (PDS) Dell EMC Data Science Track Google Certified Professional Data Engineer Google Advanced Data ...

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

... Senior Data Scientist (SDS) Data Science Council of America (DASCA) Principle Data Scientist (PDS) Dell EMC Data Science Track Google Certified Professional Data Engineer Google Advanced Data ...

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

... Senior Data Scientist (SDS) Data Science Council of America (DASCA) Principle Data Scientist (PDS) Dell EMC Data Science Track Google Certified Professional Data Engineer Google Advanced Data ...

Data Engineer I, II

Portland, OR · On-site +1

$78K - $110K/yr

Demonstrated analytical skills and ability to contribute to data driven solutions that address real business problems, with guidance from senior engineers when needed. * Working knowledge of Agile ...

Showing results 21-40

Sr Data Engineer information

See Portland, OR salary details

$85.9K

$134K

$185.6K

How much do sr data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for sr data engineer in Portland, OR is $133,972.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $152,700.00 per year, depending on experience, location, and employer.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What are the key skills and qualifications needed to thrive as a Sr data engineer, and why are they important?

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

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

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

What cities near Portland, OR are hiring for Sr Data Engineer jobs?

Cities near Portland, OR with the most Sr Data Engineer job openings:

Infographic showing various Sr Data Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $133,972 per year, or $64.4 per hour.

Senior Data Integration Engineer

Pay Lynxs

Portland, OR • On-site

Full-time

Medical, Retirement, PTO

Posted 17 days ago


Job description

Do you bring hands-on experience, enjoy complex data integrations and have a passion for automation and scalability? Looking for a place where you can grow and improve your DevOps and application interfacing skills?



Well, you're in the right place! PayLynxs is hiring a Senior Data Integration Engineer to join our team in Portland, Oregon!


Description

We are looking for a hands-on Senior DevOps Engineerto be part of our DevOps team, with a primary focus on ETL development, automation, third party integrations, and client onboarding scalability. This role is ideal for someone who enjoys building, coding, and solving complex ETL and workflow challengesto drive operational improvements.


Responsibilities

  • Design, build, and optimize FTP andETL jobsfor ingesting data from a variety of core banking systems
  • Help to accelerate onboardingfor new clients.
  • Suggest ideas to improve and refactor existing ETL processes for performance, reliability, and scalability
  • Design and develop data loading monitoring dashboard, logging and alerting for internal and external users.


Key Qualifications

  • Attention to detail
  • Motivation to automate everything
  • Attention to documenting processes
  • Leadership qualities to mentor others


Experience

  • 6+ years in DevOps, Data Integration Engineering, or related roles
  • Strong hands-on experience building batch or API related integrations and ETL processing.
  • Experience working with complex or inconsistent data sources (financial data a plus)


Technical Skills

  • Advanced experience with Pentaho Jobs and Transforms
  • Experience with Python
  • Linux system administration skills
  • Enough knowledge of Java to maintain spring boot modules
  • Mysql or Mariadb SQL experience
  • Experience with handling ETL tasks on very large datasets
  • Knowledge of Apache Hop


What Sets You Apart

  • You enjoy solving messy data problems and making them scalable
  • You appreciate the value of insight, monitoring and dashboard reports to external users to streamline visibility into the data loading process
  • You think in systems and automation-not one-off solutions
  • You are hands-onand love building


Compensation

Competitive salary commensurate with experience, technical expertise, and leadership capabilities. Pay Lynxs offers a comprehensive benefits package including health insurance, paid time off, and a 401(k) matching program.