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

Senior Forward Deployed Engineer- AWS

Portland, OR ยท On-site

$110K - $152K/yr

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ... Solution Engineering * Build AI-enabled solutions, agentic platforms, and workflows across ...

... Senior Data Center Technicians who are responsible for all hardware break fix activities, to ensure SLA's and KPI's are met. This position will also work with our full time engineers as points of ...

GenAI Python Systems Engineer -Senior Manager

Portland, OR

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Showing results 41-60

Senior Data Engineer information

See Portland, OR salary details

$85.9K

$134K

$185.6K

How much do senior data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for senior 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 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 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 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.

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 most commonly searched types of Data Engineer jobs in Portland, OR?

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

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

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

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

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

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

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

Infographic showing various Senior Data Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $133,972 per year, or $64.4 per hour.

Head of Data Engineering & Platform

Embedded Shishya

Portland, OR โ€ข On-site

$290 - $362/hr

Other

Posted 3 days ago

New


Job description

In the early 1970s, Ken Thompson and Dennis Ritchie built Unix around a deceptively simple idea: create small, composable tools that work well together. That philosophy went on to shape modern operating systems, developer tooling, cloud infrastructure, and much of the software we rely on todayโ€”not because any individual tool was revolutionary, but because the platform made everyone else more productive.

We're looking for a Head of Data Engineering & Platform who can build the data platform that gives Mercury that same leverageโ€”creating a foundation where trusted data is easy for both people and AI systems to discover, understand, and work with.

In this role, you'll lead and grow a high-performing team of data engineers responsible for Mercury's core data infrastructure. You'll shape the architecture, tooling, and engineering practices that enable reliable analytics, accelerate product development, and enable the next generation of AI-powered products and internal tools.

* Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

Here are some things youโ€™ll do on the job:
  • Build, lead, and develop a high-performing team of senior data and analytics engineers responsible for Mercury's core data infrastructure, setting a high technical bar and cultivating a strong engineering culture
  • Define and execute Mercury's long-term data platform strategy, building the architecture, tooling, and reusable data products that power analytics, AI, operational systems, and self-service across the company
  • Build a platform that makes Mercury's data easy for both people and AI systems to discover, understand, and use, investing in semantic models, metadata, and developer tooling that make trusted data reusable across the company
  • Establish the foundations for a trusted, resilient data platform by driving best practices for reliability, observability, data quality, governance, privacy, security, and regulatory compliance
  • Partner closely with Engineering, Product, Data Science, Security, and Infrastructure leaders to ensure Mercury's data platform accelerates product development, business operations, and decision-making
You should:
  • Bring 10+ years of relevant experience, including 5+ years leading data or engineering teams
  • Have architected modern data platforms at scale, building the data foundations, semantic layers, metadata, and platform capabilities that power analytics, AI, machine learning, and operational systems
  • Demonstrate the technical judgment and organizational influence to evolve data architecture through periods of rapid growth, balancing long-term, well-governed platform investments with near-term product needs
  • Bring deep expertise in modern data infrastructure, including data modeling, orchestration, streaming, storage systems, metadata, and governance
  • Have experience partnering with Security, Legal, Compliance, and Privacy teams to ensure data platforms meet the privacy, security, and regulatory standards expected of a regulated financial institution

The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidateโ€™s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

  • US employees: $289,700-$362,100
  • Canadian employees (any location): CAD $273,800-$342,200

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

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