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Part Time Data Engineer Jobs in Oregon (NOW HIRING)

Mechanical Engineer/Designer

Portland, OR · On-site

$80.60K - $109.20K/yr

Assists with collecting data and gathering information to support design decisions. Your ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

$63.75 - $82/hr

NuAxis is home to thinkers and feelers; engineers and artists. We work hard and support each other ... This role requires deep expertise in modern data architecture, cloud platforms, and database ...

This role is ideal for a student who can work part-time (16 hours/week) for 6 months to 1 year and ... The group is responsible for developing the holistic strategy for client and data center software ...

OR · On-site

$27 - $35/hr

Our scientists, engineers, field teams,consultantsand professionals collaborate across disciplines ... Job Type: Part-Time/Temporary ( This position is considered temporary and as such there are no ...

OR · On-site

$27 - $35/hr

Our scientists, engineers, field teams,consultantsand professionals collaborate across disciplines ... Job Type: Part-Time/Temporary ( This position is considered temporary and as such there are no ...

Hydraulic Modeler

Portland, OR · On-site +1

$90K - $125K/yr

You'll collaborate closely with engineers, planners, and GIS specialists to evaluate system ... Extract and process GIS data, survey files, and utility records to build and update system models.

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Showing results 1-20

Part Time Data Engineer information

See Oregon salary details

$47K

$137.1K

$187.7K

How much do part time data engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for part time 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 Part Time Data Engineer job?

A Part-Time Data Engineer is responsible for designing, building, and maintaining data pipelines and databases on a reduced-hour basis. They work with structured and unstructured data to ensure efficient storage, retrieval, and processing, often collaborating with data analysts and scientists. This role is ideal for professionals seeking flexible work arrangements while still contributing to data infrastructure and analytics. Part-time data engineers may work as freelancers, consultants, or employees with reduced-hour contracts. Their responsibilities can vary based on company needs but typically involve ETL processes, cloud data management, and performance optimization.

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

To thrive as a Part Time Data Engineer, you need strong programming skills (usually in Python, SQL, or Scala), a solid understanding of data warehousing concepts, and experience with ETL pipelines, typically supported by a relevant degree or equivalent experience. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and relevant certifications such as Google Professional Data Engineer or AWS Certified Data Analytics, are highly valued. Effective time management, problem-solving abilities, and clear communication are standout soft skills for this flexible role. These skills are crucial because they enable part-time data engineers to efficiently deliver reliable data solutions while collaborating across teams in dynamic work environments.

What types of projects and responsibilities can I expect as a Part Time Data Engineer?

As a Part Time Data Engineer, you might work on projects such as developing and maintaining data pipelines, optimizing database performance, and preparing data for analytics and reporting. Responsibilities often include extracting, transforming, and loading (ETL) data, collaborating with data analysts and scientists, and troubleshooting data-related issues. You may also help implement data quality checks or participate in cloud migration initiatives. The scope of your work will typically be focused and project-based, making sure your contributions have a tangible impact within a flexible schedule.
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 are popular job titles related to Part Time Data Engineer jobs in Oregon? For Part Time Data Engineer jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Part Time Data Engineer jobs? Cities in Oregon with the most Part Time Data Engineer job openings:
Infographic showing various Part Time Data Engineer job openings in Oregon as of May 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 64% Physical, and 36% Remote job distribution, with an average salary of $137,147 per year, or $65.9 per hour.

Senior AI/ML Modeling, Simulation & Analysis Engineer (Part-Time)

TRIAEM, LLC

Springfield, OR • On-site

$108.20K - $148.50K/yr

Part-time

Posted 27 days ago


Job description

Senior AI/ML Modeling, Simulation & Analysis Engineer (Part-Time)
Active TS/SCI Required
Location: Chantilly, Va or Springfield, Va
We are seeking a Senior AI/ML Modeling, Simulation & Analysis (MS&A) Engineer to support NGA mission initiatives focused on AI modernization, model assurance, and verification frameworks. This part-time role provides high-level technical advisory support across AI/ML strategy, verification, validation, and explainability efforts in classified GEOINT environments.
This is a senior-level opportunity for an experienced engineer who understands both the operational mission and the rigor required for trusted AI systems in national security applications.
Key Responsibilities
  • Conduct AI/ML gap analyses assessing impact across intelligence, command and control, targeting, autonomous systems, and training environments.
  • Provide subject matter expertise in AI Assurance, Independent Verification & Validation (IV&V), and Explainable AI (XAI).
  • Support Analysis of Alternatives (AoA), Design of Experiments (DoE), trade studies, and engineering assessments.
  • Advise Government stakeholders on strategic technical planning, performance engineering, and risk management.
  • Develop quantitative and qualitative metrics to ensure confidence and trust in AI models.
  • Contribute to AI Assurance frameworks including V&V-as-a-Service and advanced T&E methodologies.
  • Evaluate system architectures, cloud capabilities, CI/CD pipelines, and automation workflows.
  • Collaborate across NGA, NSG, IC partners, and industry teams to advance enterprise AI strategy.

Required Qualifications
  • Active TS/SCI clearance (required).
  • Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or related STEM field (or equivalent senior-level experience).
  • Demonstrated experience in AI model verification, validation, and evaluation (IV&V / T&E).
  • Experience supporting AI Assurance and/or Explainable AI (XAI) initiatives.
  • Proficiency in programming languages such as Python, C++, MATLAB, R, or Java.
  • Experience developing engineering solutions leveraging AI, automation, and augmentation technologies.

Desired Qualifications
  • Experience supporting NGA or Intelligence Community programs.
  • Familiarity with DevSecOps, CI/CD pipelines, and cloud-based AI environments.
  • SAFe Agile and/or Model-Based Systems Engineering (MBSE).
  • Experience with Atlassian tools (JIRA, Confluence).
  • Experience working with structured and unstructured Big Data.

Skills & Requirements Qualifications
TRIAEM LLC is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, sexual orientation/gender identity, religious creed, national origin, citizenship, marital status, sex, age, or genetic information. Applicants may be subject to a background investigation based on job requirements. TRIAEM Prohibits Discrimination and Harassment of Any Kind; we are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at TRIAEM are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. TRIAEM will not tolerate discrimination or harassment based on any of these characteristics.