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Part Time Remote Data Engineer Jobs in Portland, OR

micro1 AI

Domain Expert - (STEM PhD)

Portland, OR · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

micro1 AI

Engineering AI Evaluator (PhD)

Portland, OR · Remote

$80 - $90/hr

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Portland, OR · Remote

$80 - $105/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Gresham, OR · Remote

$80 - $105/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

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All JobsPart Time Remote Data Engineer JobsPart Time Remote Data Engineer Jobs in Portland, OR

Part Time Remote Data Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

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

As of Jul 3, 2026, the average yearly pay for part time remote data engineer in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Remote Data Engineer vs Part Time Remote Data Analyst?

AspectPart Time Remote Data EngineerPart Time Remote Data Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentRemote, collaborative teams, cloud platformsRemote, reporting tools, data visualization platforms
Employer & Industry UsageTech companies, startups, finance, healthcareMarketing agencies, research firms, retail
Common Search & ComparisonYesYes

Part Time Remote Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data, create reports, and support decision-making. While both roles work remotely and require data-related credentials, Data Engineers handle backend data systems, whereas Data Analysts focus on data interpretation and visualization.

What are some common challenges faced by part-time remote data engineers, and how can they be addressed?

Part-time remote data engineers often encounter challenges such as managing communication across different time zones, staying synchronized with full-time team members, and maintaining access to secure data environments. To address these, it's important to establish clear communication channels, set consistent work hours, and use collaboration tools like Slack or Jira to stay aligned with project goals. Additionally, proactively documenting your work and regularly updating your team can help ensure smooth workflows and project continuity.

What are the key skills and qualifications needed to thrive as a Part Time Remote Data Engineer, and why are they important?

To thrive as a Part Time Remote Data Engineer, you need proficiency in data modeling, SQL, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), ETL tools, and data pipeline orchestration systems is often required, along with certifications like AWS Certified Data Analytics being advantageous. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for collaborating with distributed teams. These skills ensure reliable data infrastructure, seamless project execution, and effective teamwork despite a flexible, remote work environment.

What is a Part Time Remote Data Engineer?

A Part Time Remote Data Engineer is a professional who designs, builds, and maintains data infrastructure and pipelines for organizations while working remotely and on a part-time schedule. Their responsibilities often include data integration, data cleansing, and ensuring efficient data flow between systems. Working remotely allows them to collaborate with teams using online tools and platforms, and the part-time nature of the job provides flexibility in work hours. This role is ideal for individuals seeking work-life balance or those with other commitments.
What are the most commonly searched types of Remote Data Engineer jobs in Portland, OR? The most popular types of Remote Data Engineer jobs in Portland, OR are:
What are popular job titles related to Part Time Remote Data Engineer jobs in Portland, OR? For Part Time Remote Data Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Data Engineer jobs in Portland, OR look for? The top searched job categories for Part Time Remote Data Engineer jobs in Portland, OR are:
Part Time Remote Data Engineer jobs near you
Infographic showing various Part Time Remote Data Engineer job openings in Portland, OR as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.
Domain Expert - (STEM PhD)

Domain Expert - (STEM PhD)

micro1 AI

Portland, OR • Remote

$80 - $90/hr

Part-time

Posted 9 days ago

Job description

Role Title: PhD Engineer (Electrical, Mechanical, Chemical)


Role Type: Contractor


Location: Remote


micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions

Apply