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Senior Data Platform Engineer Jobs in Portland, OR

Pay Lynxs

Senior Data Integration Engineer

Portland, OR · On-site

  • Medical

  • Retirement

  • PTO

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 ...

PayLynxs

Senior Data Integration Engineer

Portland, OR

  • Medical

  • Retirement

  • PTO

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 ...

Deloitte

AI Engineer Consultant

Portland, OR · Hybrid

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

WIZELINE

Senior Data Architect

Beaverton, OR

$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

Binance.US

Senior Data Scientist, RIsk

Vancouver, WA · Remote

$54K/mo

  • Medical

  • Retirement

  • PTO

S. crypto platform by Forbes (Best Crypto Exchanges of 2026) and Business Insider (Best Crypto ... developers to more easily access and analyze data including negotiated service rates, and out-of ...

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Showing results 21-40

All JobsData Platform Engineer JobsSenior Data Platform Engineer JobsSenior Data Platform Engineer Jobs in Portland, OR

Senior Data Platform Engineer information

See Portland, OR salary details

$85.9K

$134K

$185.6K

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

As of Aug 15, 2026, the average yearly pay for senior data platform 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.

How does a senior data platform engineer typically collaborate with data scientists and analysts within an organization?

A Senior Data Platform Engineer works closely with data scientists and analysts to understand their data needs and ensure the platform supports efficient data access, processing, and analysis. This often involves designing and implementing data pipelines, optimizing data storage solutions, and ensuring data quality and integrity. Regular communication is essential to align on data requirements, troubleshoot issues, and roll out new platform features that enhance analytical capabilities. Collaboration frequently occurs through agile ceremonies, project meetings, and shared documentation to ensure all stakeholders are aligned and productive.

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

To thrive as a Senior Data Platform Engineer, you need deep expertise in data architecture, database management, ETL design, and programming languages like Python or Java, typically supported by a bachelor's degree in computer science or related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Spark or Hadoop), and certifications in relevant technologies are commonly required. Strong problem-solving, collaboration, and communication skills set top performers apart in this role. These competencies are essential for building robust, scalable data systems that support business intelligence and data-driven decision-making.

What does a senior data platform engineer do?

A Senior Data Platform Engineer is responsible for designing, building, and maintaining large-scale data platforms that support an organization's data analytics and processing needs. They work with various technologies to ensure data is collected, stored, and accessible efficiently and securely. Their role often involves optimizing data pipelines, managing databases, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable data solutions. In addition, they help set best practices and mentor junior engineers on the team.

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

AspectSenior Data Platform EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platformsBachelor's in CS, Software Engineering, or related; certifications in data tools are common
Work EnvironmentDesigning, building, and maintaining large-scale data platforms; working with cloud servicesDeveloping data pipelines, ETL processes, and data storage solutions
Industry UsageUsed across tech, finance, healthcare, and retail for managing data infrastructureCommonly employed in similar industries for data processing and integration

The Senior Data Platform Engineer focuses on designing and maintaining scalable data platforms, often with cloud expertise, while Data Engineers primarily develop data pipelines and ETL processes. Both roles require strong technical skills and are vital in data-driven organizations, but the Senior Data Platform Engineer typically has a broader scope and more strategic responsibilities.

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

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

Senior Data Platform Engineer jobs near you

Senior Data Integration Engineer

Pay Lynxs

Portland, OR • On-site

Full-time

Medical, Retirement, PTO

Posted 8 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 Qualfification

  • 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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