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

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

As a Sr. Data Engineer, your primary role will be to design and own the data models that support ... You will also build the engineering around those models: data pipeline architecture, data flows ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As a Sr. Data Engineer, your primary role will be to design and own the data models that support ... You will also build the engineering around those models: data pipeline architecture, data flows ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As our Sr. Data Engineer , you'll help drive Concora Credit's Mission to enable customers to Do ... You will also build the engineering around those models: data pipeline architecture, data flows ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

As a Sr. Data Engineer, your primary role will be to design and own the data models that support ... You will also build the engineering around those models: data pipeline architecture, data flows ...

Nike

Senior Data Scientist

Beaverton, OR · On-site

Build and maintain end-to-end analytical pipelines, covering data ingestion, feature engineering ... As a Senior Data Scientist, you will collaborate closely with various global teams and stakeholders ...

Phaxis

Sr. Data Engineer

Beaverton, OR · On-site

$40 - $45/hr

Oregon, Beaverton (Hybrid * 6+ years of IT experience with 5+ years in Data Engineering. * Mandatory hands-on experience in Databricks (PySpark, Spark SQL, Delta Lake). * Strong programming skills in ...

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Senior Data Engineering information

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How much do senior data engineering jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for senior data engineering in Portland, OR is $60.25, according to ZipRecruiter salary data. Most workers in this role earn between $49.47 and $71.39 per hour, depending on experience, location, and employer.

What is a senior data engineer?

A Senior Data Engineer is an experienced professional who designs, builds, and maintains scalable data systems and infrastructure within an organization. They are responsible for developing robust data pipelines, ensuring data quality, and optimizing data workflows to support analytics and business intelligence needs. Senior Data Engineers often mentor junior team members, collaborate with data scientists and analysts, and help establish best practices for data management. Their expertise enables organizations to efficiently store, process, and analyze large volumes of data for strategic decision-making.

What are the key skills and qualifications needed to thrive as a senior data engineer?

To thrive as a Senior Data Engineer, you need deep expertise in data modeling, ETL processes, programming (often Python, Java, or Scala), and a strong background in computer science or a related field. Proficiency with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms such as AWS, Azure, or GCP is typically required, along with relevant certifications. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior engineers. These skills ensure reliable, scalable data infrastructure that supports business intelligence and decision-making across the organization.

How does a senior data engineer typically collaborate with data scientists and analysts on projects?

As a Senior Data Engineer, you will frequently work alongside data scientists and analysts to design, build, and optimize data pipelines and infrastructure that support complex analytics and machine learning initiatives. Collaboration often involves translating business or analytical requirements into scalable data solutions, ensuring data quality, and enabling efficient access to large datasets. Regular communication and agile teamwork are essential, as you'll often participate in cross-functional meetings to align on project goals, resolve data issues, and support the deployment of analytical models into production environments.

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

AspectSenior Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience in data pipelines, cloud platformsBachelor's in CS or related field, foundational data skills
Work EnvironmentDesigning complex data systems, mentoring juniors, optimizing pipelinesBuilding and maintaining data pipelines, data ingestion, basic ETL tasks
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, mid-sized companies, tech firms

Senior Data Engineers typically have more experience, handle complex data architecture, and mentor teams, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but Senior Data Engineers often take on leadership and strategic responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

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

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

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

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

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

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

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

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

Senior Data Engineering jobs near you
Infographic showing various Senior Data Engineering 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 $125,320 per year, or $60.2 per hour.

Senior Data Engineer Databricks, Hybrid - 69882

PRIMUS Global Services Inc.

Beaverton, OR • On-site

$120K - $145K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Senior Data Engineer Databricks, Hybrid

We have an immediate need for an experienced Data Engineer with strong expertise in Databricks, PySpark, Spark SQL, Delta Lake, Python, SQL, and cloud data engineering to design, develop, and support scalable enterprise data solutions.

This is a hybrid position based in Beaverton, Oregon for a candidate with mandatory hands-on experience in Databricks, PySpark, Spark SQL, and Delta Lake. Candidates should have strong programming skills in Python and SQL, with proven experience building scalable ETL/ELT pipelines, data engineering solutions, data models, and data warehouse architectures.


For immediate consideration, please contact:
Pankaj
PRIMUS Global Services
Phone: Desk Ext. 214
Email:

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About PRIMUS Global Services

Sourced by ZipRecruiter

PRIMUS was established in 2002 in Irving, Texas. From this beginning the company has grown to include services and support locations in the US, UK, Germany, Poland & India. With over 3000 consultants deployed “on project” daily worldwide, PRIMUS brings together the right people and technologies to deliver the results our clients are seeking across a broad range of business initiatives.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Irving, TX, US

Year founded

2002

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