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Data Engineering Jobs in Oregon (NOW HIRING)

Clarity Recruiting

$200K/yr

Our client, a rapidly growing wealth management and financial services firm, is seeking a Data Engineering Manager to lead the development and evolution of its enterprise data platform. This is a ...

Amerilife Group, LLC

Director, Data Engineering

OR · On-site +1

Job Summary We are seeking an accomplished Director of Data Engineering to lead AmeriLife's enterprise Data Engineering organization and serve as the technical leader for our Databricks platform.

YipitData

Senior Data Engineering Manager

OR · On-site +1

We are looking for a highly skilled Senior Data Engineering Manager to lead one of our data engineering teams. This is a hands-on player-coach role for someone who can develop engineers, guide ...

Fuze Health

Senior Manager, Data Engineering

OR · On-site +1

As the Senior Manager, Data Engineering, you will lead the strategy, architecture, and execution of Alto's data platform - ensuring that high-quality, trusted, and timely data fuels everything from ...

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 ...

Webflow

Staff Data Engineer

OR · On-site +1

$114K - $137K/yr

Reporting to the Manager, Data Engineering As a Staff Data Engineer, you'll... * Design data solutions across batch, streaming, and real-time workloads. * Design and build reliable data pipelines ...

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR

$119K - $143K/yr

The ideal candidate will have hands-on experience with Databricks, PySpark, Spark SQL, Delta Lake, Python, and SQL , along with experience in cloud platforms and modern data engineering practices.

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

The ideal candidate will have hands-on experience with Databricks, PySpark, Spark SQL, Delta Lake, Python, and SQL , along with experience in cloud platforms and modern data engineering practices.

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

The ideal candidate will have hands-on experience with Databricks, PySpark, Spark SQL, Delta Lake, Python, and SQL , along with experience in cloud platforms and modern data engineering practices.

Phaxis

Lead Data Engineer- Databricks

Beaverton, OR · On-site

$119K - $143K/yr

No of Years -14+ Years * 14+ years of IT experience with 10+ years in Data Engineering. * Mandatory hands-on experience in Databricks (PySpark, Spark SQL, Delta Lake). * Customer Management including ...

Tebra

Data Engineer

OR · On-site +1

$114K - $137K/yr

This is a hands-on engineering role where you'll contribute to scalable data pipelines, improve data quality, and help ensure our AI systems are powered by reliable, performant, and well-governed ...

Netflix

Manager, Member Innovation - Data Engineering

OR · On-site +1

$446K - $752K/yr

You also need strong data and engineering backgrounds, to be a quick and data-driven learner, and have the ability to lead large multi-disciplinary, cross-functional teams. Responsibilities: Vision:

Climate First Bank

Data Engineer

OR · On-site +1

$114K - $137K/yr

The ideal candidate will have deep expertise in Azure data services, building advanced SQL queries, and modern data engineering practices. What You'll Contribute as a Data Engineer Data Architecture ...

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All JobsData Engineering JobsData Engineering Jobs in Oregon

Data Engineering information

See Oregon salary details

$48.6K

$174.5K

$257.4K

How much do data engineering jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data engineering in Oregon is $174,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,100.00 and $179,700.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

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

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What are the most commonly searched types of Data Engineering jobs in Oregon?

The most popular types of Data Engineering jobs in Oregon are:

What are popular job titles related to Data Engineering jobs in Oregon?

For Data Engineering jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Data Engineering jobs in Oregon look for?

The top searched job categories for Data Engineering jobs in Oregon are:

What cities in Oregon are hiring for Data Engineering jobs?

Cities in Oregon with the most Data Engineering job openings:

Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Oregon as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 67% Full Time, 29% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $174,471 per year, or $83.9 per hour.

Data Engineering Manager

Hillsboro, OR • On-site

BizTek People, Inc. | APA International Placement Consultants
Recruiting and Staffing Services • 51 - 200 employees
Learn more about BizTek People, Inc. | APA International Placement Consultantsexternal

Contractor

Re-posted 3 days ago

Job description


WHO ARE WE LOOKING FOR
We are looking for an experienced Data Engineering Manager to lead and manage a team of data engineers and analysts working on building scalable data and analytics solutions. This person will participate in architecture and design discussions, own end-to-end solution delivery, stakeholder management, partner with platform engineering, collaborate with other engineering teams, and will guide and mentor data engineers. The ideal candidate will have outstanding communication skills, proven data design and implementation capabilities, strong business acumen, and an innate drive to deliver results. The person in this role will be technically proficient and excel at collaborating with engineers, analysts, and stakeholders. He/she will be a self-starter, comfortable with ambiguity, and will enjoy working in a fast-paced dynamic environment.
WHAT WILL YOU WORK ON
In this role, you will manage an engineering team focused on building and delivering scalable data and analytics solutions in our Direct, Supply Chain, and Commercial space. The team will design, implement and integrate new technologies and evolve data and analytics products. You will be contributing to all aspects of data engineering from ingestion, transformation, and consumption in addition to designing and building test-driven development, reusable frameworks, automated workflows, and libraries at scale to support analytics products. You will also participate in architecture and design discussions to process and store high-volume data sets.
WHO WILL YOU WORK WITH
This role is part of the North America Data & Analytics Organization and you will work with world-class talent in the field of Data Engineering with a goal of better business insights and driving data-driven decisions across the organization. You'll be working closely with Internal stakeholders, Product Owners, Engineering Leaders, Data Analysts, Big Data Leads, and Engineers. One of our maxims is "Win as a Team" and you will be working in a very collaborative environment and will find success in teamwork, a positive attitude, and hard work.
Requirements
WHAT YOU BRING
  • Bachelor's or Master's degreein Computer Science or related field
  • 10+ years relevant workexperience in the Data Engineering field
  • 4+ years experience inleading and managing engineering teams
  • 4+ years experience workingwith Hadoop and Big Data processing frameworks (Spark, Hive, Nifi,Spark-Streaming, Flink, etc.)
  • 2+ years experience buildingscalable, real-time and high-performance cloud data lake solutions
  • Strong experience withrelational SQL and programming languages such as Python, Scala, or Java
  • Experience with sourcecontrol tools such as GitHub and related CI/CD processes
  • Experience working with BigData streaming services such as Kinesis, Kafka, etc.
  • Experience working with NoSQLdata stores such as HBase, DynamoDB, etc.
  • Experience provisioningRESTful API's to enable real-time data consumption
  • Experience working in AWSenvironment primarily EMR, S3, Kinesis, Redshift, Athena, etc
  • Experience with datawarehouses/RDBMS like Snowflake & Teradata
  • Experience with workflowscheduling tools like Airflow
  • Strong understanding ofalgorithms, data structures, data architecture, and technical designs.
  • Has a strong problem solvingand analytical approach.

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