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Professional Data Engineer Jobs in Oregon (NOW HIRING)

Field Engineer (English/Spanish)

OR ยท On-site +1

  • Medical

  • Dental

  • Vision

  • PTO

We are seeking an experienced Field Engineer (English/Spanish) who is professionally fluent in both ... Deep understanding of modern data integration, data streaming, real-time analytics, and cloud ...

... our professional data science platform. You will be the architect of our expansion playbook ... Act as the primary bridge between Sales, Customer Success, and Solutions Engineering to ensure ...

Lead AI and Data Science Engineer II

Portland, OR ยท On-site

$108K - $143K/yr

Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ... Strong interpersonal skills and professional demeanor * Ability to meet deadlines * Ability to ...

The role works in partnership with Internal IT, Data Engineering, Information Security, Business ... field, or equivalent professional experience. * 10+ years of experience in enterprise data ...

Data Lead - Central Data Team

OR ยท On-site +1

  • Retirement

  • PTO

Data Engineering Manager : owns engineering execution, platform architecture, and technical delivery Together, you'll define how your domain evolves while partnering closely with data evaluation ...

New

Director, Data Architecture & Governance

OR ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Databricks Certified Data Engineer Associate or Professional. * Microsoft Certified: Azure Solutions Architect ExpertOr, AWS Certified Solutions Architect - Associate or Professional. * DAMA ...

OR ยท On-site

$70K/yr

We seek an IT professional with technical skills in server hardware and Linux - ideally in a Data ... Data Center Production Operations Engineer Responsibilities: * Work within Meta's ticketing system

New

Showing results 41-60

Professional Data Engineer information

See Oregon salary details

$47K

$137.1K

$187.7K

How much do professional data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for professional data engineer in Oregon is $137,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $145,400.00 per year, depending on experience, location, and employer.

What is a professional data engineer?

A professional data engineer designs, builds, and maintains data pipelines and infrastructure to enable data collection, storage, and analysis. They often work with tools like SQL, Apache Spark, and cloud platforms, and require strong programming and data management skills. Certification and experience in data architecture are common for this role.

What is the difference between Professional Data Engineer vs Data Scientist?

AspectProfessional Data EngineerData Scientist
Required CredentialsCertifications like Google Cloud Professional Data Engineer, relevant degrees in computer science or data engineeringDegrees in statistics, data science, or related fields; certifications like Certified Data Scientist
Work EnvironmentDesigning data pipelines, managing data infrastructure, ensuring data qualityAnalyzing data, building models, deriving insights from data
Employer & Industry UsageTech companies, data-driven organizations focusing on data infrastructureResearch institutions, analytics firms, companies focusing on predictive modeling

The Professional Data Engineer primarily focuses on building and maintaining data infrastructure, ensuring data flows efficiently within organizations. In contrast, Data Scientists analyze data to extract insights and develop predictive models. Both roles often collaborate but serve different functions within data teams.

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

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

What cities in Oregon are hiring for Professional Data Engineer jobs?

Cities in Oregon with the most Professional Data Engineer job openings:

BigData Engineer / Architect

Nitor Infotech

Portland, OR โ€ข On-site

Full-time

Re-posted 3 days ago


Job description

Company Description
The hunt is for a strong Big Data Professional, a team player with the ability to manage effective relationships with a wide range of stakeholders (customers & team members alike). Incumbent will demonstrate personal commitment and accountability to ensure standards are continuously sustained and improved both within the internal teams, and with partner organizations and suppliers.
Role: Big Data Engineer
Location: Portland OR.
Duration: Full Time
Skill Matrix:
Map Reduce - Required
Apache Spark - Required
Informatica PowerCenter - Required
Hive - Required
Apache Hadoop - Required
Core Java / Python - Highly Desired
Healthcare Domain Experience - Highly Desired
Job Description
Responsibilities and Duties
  • Participate in technical planning & requirements gathering phases including architectural design, coding, testing, troubleshooting, and documenting big data-oriented software applications.
  • Responsible for the ingestion, maintenance, improvement, cleaning, and manipulation of data in the business's operational and analytics databases, and troubleshoots any existent issues.
  • Implementation, troubleshooting, and optimization distributed solutions based on modern big data technologies like Hive, Hadoop, Spark, Elastic Search, Storm, Kafka, etc. in both an on premise and cloud deployment model to solve large scale processing problems
  • Design, enhance and implement ETL/data ingestion platform on the cloud.
  • Strong Data Warehousing skills, including: Data clean-up, ETL, ELT and handling scalability issues for enterprise level data warehouse
  • Capable of investigating, familiarizing and mastering new data sets quickly
  • Strong troubleshooting and problem-solving skills in large data environment
  • Experience with building data platform on cloud (AWS or Azure)
  • Experience in using Python, Java or any other language to solving data problems
  • Experience in implementing SDLC best practices and Agile methods.

Qualifications
Required Skills:
  • Data architecture/ Big Data/ ETL environment
  • Experience with ETL design using tools Informatica, Talend, Oracle Data Integrator (ODI), Dell Boomi or equivalent
  • Big Data & Analytics solutions Hadoop, Pig, Hive, Spark, Spark SQL Storm, AWS (EMR, Redshift, S3, etc.)/Azure (HDInsight, Data Lake Design)
  • Building and managing hosted big data architecture, toolkit familiarity in: Hadoop with Oozy, Sqoop, Pig, Hive, HBase, Avro, Parquet, Spark, NiFi
  • Foundational data management concepts - RDM and MDM
  • Experience in working with JIRA/Git/Bitbucket/JUNIT and other code management toolsets
  • Strong hands-on knowledge of/using solutioning languages like: Java, Scala, Python - any one is fine
  • Healthcare Domain knowledge

Required Experience, Skills and Qualifications
Qualifications:
  • Bachelor's Degree with a minimum of 6 to 9 + year's relevant experience or equivalent.
  • Extensive experience in data architecture/Big Data/ ETL environment.

Additional Information
All your information will be kept confidential according to EEO guidelines.