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Data Engineering Jobs in Oregon (NOW HIRING)

ConnectWise

OR

The Manager of Data Engineering will lead a team responsible for designing, building, and maintaining scalable data infrastructure and pipelines. This role involves collaborating with cross ...

YipitData (Alternative)

Data Engineering Manager

OR · On-site +1

As a Data Engineering Manager , you will design and maintain large-scale data pipelines, define best practices for ETL, and integrate emerging technologies to keep our platform on the cutting edge.

Netflix

OR

$446K - $752K/yr

The Ads data engineering team builds centralized and large-scale datasets that support the overall goals of our Ads data initiatives, focusing on the creation of standardized, scalable datasets ...

Doximity

Data Engineering Manager

OR · On-site +1

$172K - $254K/yr

Foremost an engineer . You exemplify high code quality and guide others, and have at least 5 years of industry experience as a data engineer or similar role. * You are experienced in creating ...

Cotiviti

Oversee the data engineering efforts in ensuring that Cotiviti is able to provision scalable, reliable data pipelines from the various backend data sources to the cloud platform, applying best-in ...

YipitData

OR

We are looking for a highly skilled Senior Data Engineering Manager to lead the data engineering team powering our Public Investor business. This is a hands-on player-coach role for someone who can ...

BECU

Director, Data Engineering

OR · On-site +1

$155K - $288K/yr

Build, mentor, and empower a high-performing team of data engineers and data professionals, fostering a culture of collaboration, innovation, and continuous growth. * Drive Data Platform Strategy:

Fuze Health

OR

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 ...

Natera

OR · On-site

$114K - $137K/yr

Head of Data Engineering & Platform, Real-World Data (RWD)POSITION SUMMARY Natera is seeking a leader to head Data Engineering and Platform for Real-World Data (RWD). This role will in partnership ...

Tekmetric

OR

$105K - $143K/yr

What You'll Do Tekmetric is looking for a Senior Director of Data Engineering; you'll drive the strategy, architecture, and execution of our data platform. In this role you'll be focused on building ...

Netflix

OR

$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:

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Showing results 1-20

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 Jun 19, 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.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

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 engineers make 500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

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 jobs make $1,000,000 a year?

In data engineering, earning $1,000,000 annually is rare and typically involves senior roles such as lead data engineers or those working in high-paying industries like finance or technology, often with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Most high earners in this field also supplement income through equity, bonuses, or consulting. Such compensation levels are uncommon and usually require a combination of expertise, strategic position, and company size.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

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.

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 June 2026, with employment types broken down into 76% Full Time, 20% Contract, and 4% Nights. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $174,471 per year, or $83.9 per hour.

Data Engineering Manager

BizTek People, Inc. | APA International Placement Consultants

Hillsboro, OR • On-site

Contractor

Posted 10 days ago

Job description

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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