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Data Engineering Jobs in Oregon (NOW HIRING)

Clarity Recruiting

$160K/yr

Implement data engineering best practices across data modeling, quality, lineage, metadata management, documentation, and operational monitoring. Develop automated data quality validation ...

Pwc

Data Engineer - Senior Manager

Portland, OR · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

ZincFive

Data Engineer I

Tualatin, OR · On-site

$100K/yr

Communicate progress, risks, and technical issues to engineering leadership and project stakeholders * Work with cross-functional teams to understand data requirements and deliver defined data ...

New

TCGplayer, Inc.

Staff Data Eng, Data Systems, TCGplayer

OR · On-site +1

$136K - $228K/yr

The Data Engineering team helps make that experience possible by building the systems, standards, and partnerships that make data easier to trust, easier to work with, and easier to scale across ...

Russell, Tobin & Associates

Data Engineer 5

Beaverton, OR · On-site

$70 - $78/hr

Requirements: * 10+ years of experience in a data-related role, with prior professional data engineering experience. * Strong hands-on experience with Databricks, Spark, Python, Snowflake, and SQL

Netflix

Staff Data Engineer (L6) - Ads

OR · On-site +1

$510K - $820K/yr

About the team Ads Data Engineering is at the core of building a data ecosystem that powers Netflix's understanding and decision-making about the impact of ads on our business. This team builds rich ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

You will also build the engineering around those models: data pipeline architecture, data flows, data transformations, and clear documentation. You'll join our Analytics Engineering team and partner ...

Netflix

Data Engineer (L5)

OR · On-site +1

$380K - $610K/yr

Data Engineering at Netflix is a role that requires building systems to process data efficiently and modeling the data to power analytics. These solutions can range from batch data pipelines that ...

US Bank

Infrastructure Data Analytics Engineer

Gresham, OR · On-site

$121K - $145K/yr

This role combines data engineering, analytics, automation, and operational intelligence to provide actionable insights that support technology strategy, operational excellence, risk management, and ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

You will also build the engineering around those models: data pipeline architecture, data flows, data transformations, and clear documentation. You'll join our Analytics Engineering team and partner ...

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Showing results 21-40

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 13, 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, 80% Full Time, 15% Part Time, and 3% 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 Engineer (GovCon | Public Trust Eligibility)

OR • On-site, Remote

Attain Talent
See more jobs at Attain Talentexternal

$114K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Job description

This position supports a federal client and requires US citizenship for Public Trust eligibility

Attain Talent is searching for talented data engineers for our GovCon client. This is a full time position with benefits, and our client partners with federal agencies to build secure, scalable, and mission-driven solutions that make a meaningful impact on millions of people. Recognized by The Washington Post as a Top Workplace in 2025 and 2026. 

About the Role

We are seeking a Data Engineer to design, build, and maintain scalable, efficient data pipelines and systems following modern data engineering best practices. The Data Engineer will partner with other Data Engineers to evaluate and prototype new tools and technologies, assessing their risks and benefits to deliver exceptional value to our clients. 

You Will Get To

  • Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data models using Python, Apache Spark (PySpark), Databricks, dbt, SQL (PostgreSQL), and AWS Glue.
  • Develop and optimize AWS-native data platforms leveraging AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), Lambda, Step Functions, Amazon S3, Redshift, RDS, DMS, and CloudWatch.
  • Build high-performance ingestion, transformation, and orchestration workflows for structured and semi-structured data using Apache Iceberg, Parquet, ORC, and Avro.
  • Design and optimize analytical data platforms using Amazon Athena, Trino, Hive, OpenSearch, and enterprise data catalog technologies.
  • Integrate enterprise and external data sources across relational and NoSQL platforms including PostgreSQL, Oracle, Redshift, GraphDB, and other NoSQL databases.
  • Build AI-enabled data solutions using Amazon Bedrock, RAG pipelines, and vector search technologies including Amazon S3 Vector and OpenSearch vector indexes.
  • Develop cloud infrastructure using CloudFormation (Infrastructure as Code), GitHub, Harness, and enterprise CI/CD pipelines while leveraging SNS, SQS, and EventBridge for event-driven architectures.
  • Improve the reliability, scalability, performance, and maintainability of enterprise data platforms through monitoring, troubleshooting, automation, and continuous optimization.
  • Support mission-critical analytics and reporting solutions within large-scale AWS-based federal data environments, implementing solutions that comply with FedRAMP and NIST 800-53 security controls.
  • Lead modernization initiatives migrating legacy platforms including IBM DataStage, Hadoop, RunDeck, and shell-based workflows to cloud-native AWS services.
  • Mentor junior engineers through technical guidance, architecture discussions, and code reviews while promoting engineering best practices.
  • Collaborate with cross-functional teams in an Agile environment to define requirements, deliver high-quality data solutions, and communicate technical concepts effectively to technical and non-technical stakeholders.

Who You Are

  • A strategic data engineer who enjoys designing complex systems and solving complex challenges
  • Strong in modern cloud-based solution design
  • Comfortable balancing business needs with technical constraints and long-term strategy
  • A strong communicator 
  • Collaborative, proactive, and comfortable navigating ambiguity

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • 4+ years of professional experience in data engineering or related domains
  • Strong hands-on experience with:
    • Databricks, Apache Spark (PySpark), Python, SQL (PostgreSQL), and dbt for large-scale data engineering, ETL/ELT development, data transformation, and data modeling.
    • Designing, building, and maintaining AWS-native data platforms using AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), AWS Lambda, AWS Step Functions, Amazon S3, Amazon Redshift, Amazon RDS, AWS DMS, and Amazon CloudWatch.
    • Developing scalable data pipelines, workflow orchestration, and data integration solutions across enterprise environments.
    • Working with modern data lake technologies including Apache Iceberg and data formats such as Parquet, ORC, and Avro.
    • Designing and optimizing solutions using relational and NoSQL databases including PostgreSQL, Redshift, Oracle, GraphDB, and other NoSQL platforms.
    • Building reliable, high-performance data platforms through performance tuning, system optimization, and enterprise-scale ETL/ELT architectures.
    • Java development and modern CI/CD practices using Harness.
  • Strong analytical and problem-solving skills
  • Experience working in agile, iterative software development environments
  • Ability to quickly learn and apply new technologies and domain knowledge
  • Excellent written and verbal communication skills, with the ability to explain complex topics to diverse audiences

Nice to Have

  • Experience supporting analytics, data engineering, or modernization initiatives for financial regulators, capital markets, or other highly regulated environments is a plus. 
  • Experience with Kafka (streaming/data pipelines)
  • Experience with Docker and Kubernetes for containerization and orchestration
  • Proficiency with Splunk for log aggregation and system monitoring
  • Experience using Terraform for infrastructure automation and management
  • Strong SQL skills, including performance tuning and complex query design

Full Time Employee Benefits

  • Remote Work (Hybrid roles will be specified in the job post)
  • Competitive Compensation Package
  • Medical, Dental, and Vision
  • Life Insurance, Short/Long Term Disability
  • Employee Assistance Program
  • 401(k) with 4% matching
  • Liberal PTO vacation policy
  • Generous Annual Continuing Education
  • Annual Wellness Budget
  • Bonus Incentive Programs (Employee referrals and performance-based rewards)

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