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Senior Amazon Data Engineer Jobs in Portland, OR

PayLynxs

Senior Data Integration Engineer

Portland, OR · On-site

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 ...

Nike

Senior Data Scientist

Beaverton, OR · On-site

Build and maintain end-to-end analytical pipelines, covering data ingestion, feature engineering ... Amazon Web Services, Databricks). * Experience in building, training, scoring, tuning and ...

Elite eXceed

Sr. Software Engineer

Beaverton, OR · On-site

$100 - $130/hr

Building observable code that helps inform data driven decisions * Working in a continuous delivery ... Amazon EC2, GCE, Rackspace, Azure, etc.). AWS preferred. * Experience delivering software using an ...

AZAD Technology Partners

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 ...

AZAD Technology Partners

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 ...

Azad, Inc

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 ...

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All JobsAmazon Data Engineer JobsSenior Amazon Data Engineer JobsSenior Amazon Data Engineer Jobs in Portland, OR

Senior Amazon Data Engineer information

See Portland, OR salary details

$85.9K

$134K

$185.6K

How much do senior amazon data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior amazon 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 does a senior Amazon data engineer do?

A Senior Amazon Data Engineer is responsible for designing, building, and maintaining large-scale data processing systems on Amazon Web Services (AWS) infrastructure. They work with big data technologies, such as Amazon Redshift, AWS Glue, and Amazon S3, to ensure data is efficiently collected, stored, and made accessible for analytics and business intelligence. Additionally, they often lead data engineering teams, optimize data pipelines for performance, and ensure data quality and security standards are met.

What are some common challenges faced by senior Amazon data engineers when working with large-scale datasets?

Senior Amazon Data Engineers often encounter challenges related to optimizing the performance of data pipelines and ensuring data quality at scale. Managing and transforming massive volumes of data requires expertise in distributed systems, efficient data modeling, and automating data validation processes. Additionally, collaborating with cross-functional teams—such as data scientists, analysts, and software engineers—means balancing differing requirements and priorities while maintaining robust, scalable solutions. Staying current with evolving AWS services and best practices is also essential to address these challenges effectively.

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

To thrive as a Senior Amazon Data Engineer, you need advanced proficiency in data modeling, ETL development, SQL, and experience with large-scale data architectures, typically supported by a computer science degree or equivalent. Expertise in AWS services (such as Redshift, S3, Glue), programming languages like Python or Java, and relevant certifications (e.g., AWS Certified Data Analytics) are commonly required. Strong problem-solving abilities, effective communication, and leadership skills distinguish top performers in this role. These skills ensure the efficient design, implementation, and optimization of complex data solutions that drive business insights and support organizational goals.

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

AspectSenior Amazon Data EngineerAmazon Data Engineer
Required CredentialsTypically requires 5+ years experience, advanced SQL, AWS certificationsEntry to mid-level, foundational SQL, AWS certifications beneficial
Work EnvironmentDesigning complex data pipelines, mentoring, strategic projectsBuilding and maintaining data pipelines, data analysis
Employer & Industry UsageUsed in large-scale data teams within Amazon and similar tech companiesCommon in tech companies, e-commerce, and cloud service providers

The main difference between a Senior Amazon Data Engineer and an Amazon Data Engineer lies in experience, responsibilities, and project complexity. Senior roles involve strategic planning, mentoring, and handling complex data systems, while entry-level roles focus on building and maintaining data pipelines. Both roles require AWS knowledge and data engineering skills, but senior positions demand more experience and leadership capabilities.

What are the most commonly searched types of Amazon Data Engineer jobs in Portland, OR?

The most popular types of Amazon Data Engineer jobs in Portland, OR are:

What are popular job titles related to Senior Amazon Data Engineer jobs in Portland, OR?

For Senior Amazon Data Engineer jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Senior Amazon Data Engineer jobs in Portland, OR look for?

The top searched job categories for Senior Amazon Data Engineer jobs in Portland, OR are:

Senior Amazon Data Engineer jobs near you
Infographic showing various Senior Amazon Data Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $133,972 per year, or $64.4 per hour.

Senior Data Integration Engineer

PayLynxs

Portland, OR • On-site

Full-time

Medical, Retirement, PTO

Posted 29 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.


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