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Part Time Data Analytics Engineer Jobs in Portland, OR

Domain Expert - (STEM PhD)

Portland, OR ยท Remote

$80 - $90/hr

Design and document realistic experimental scenarios based on advanced engineering principles * Analyze data and interpret results to inform AI training datasets with precision * Apply sophisticated ...

Data Science Tutor

Portland, OR ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Mechanical Engineer/Designer

Portland, OR ยท On-site

$80K - $109K/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 ...

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 ...

Make My Move Detailed Part Time Benefits Information Your Impact: Work Right NW is dedicated to ... Leverage data analytics to assess injuries and implement effective solutions * Collaborate on ...

Athletic Trainer

Portland, OR ยท On-site

$39/hr

Make My Move Detailed Part Time Benefits Information Your Impact: Work Right NW is dedicated to ... Leverage data analytics to assess injuries and implement effective solutions * Collaborate on ...

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Showing results 1-20

Part Time Data Analytics Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

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

As of Jul 6, 2026, the average yearly pay for part time data analytics 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 are the key skills and qualifications needed to thrive as a Part Time Data Analytics Engineer, and why are they important?

To thrive as a Part Time Data Analytics Engineer, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI is essential, with certifications in these tools considered advantageous. Excellent problem-solving abilities, attention to detail, and effective communication skills are important soft skills for this role. These skills ensure accurate data analysis, actionable insights, and efficient collaboration, which are critical for delivering value in a part-time capacity.

What does a Part Time Data Analytics Engineer do?

A Part Time Data Analytics Engineer is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They build and manage data pipelines, use programming languages like Python or SQL, and create dashboards or reports to visualize data trends. Working part time, they may focus on specific projects or support ongoing analytics needs, often collaborating with other team members to ensure data quality and actionable insights.

How does working as a part-time Data Analytics Engineer differ from a full-time position in terms of team collaboration and project ownership?

As a part-time Data Analytics Engineer, you'll often collaborate closely with full-time team members, focusing on specific tasks or projects that align with your available hours. You may be assigned to support data pipeline development, create dashboards, or perform data cleaning, but typically with a narrower project scope compared to full-time engineers. Communication and documentation are especially important, as you'll need to ensure smooth handoffs and updates for work that continues outside your scheduled hours. This structure provides flexibility but also requires proactive coordination to stay aligned with team goals and deadlines.
What are the most commonly searched types of Data Analytics Engineer jobs in Portland, OR? The most popular types of Data Analytics Engineer jobs in Portland, OR are:
What are popular job titles related to Part Time Data Analytics Engineer jobs in Portland, OR? For Part Time Data Analytics Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Part Time Data Analytics Engineer jobs in Portland, OR look for? The top searched job categories for Part Time Data Analytics Engineer jobs in Portland, OR are:
Domain Expert - (STEM PhD)

Domain Expert - (STEM PhD)

micro1 AI

Portland, OR โ€ข Remote

$80 - $90/hr

Part-time

Posted 12 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 โ€” 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