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Part Time Remote Data Engineer Jobs in Seattle, WA

micro1 AI

AI Data Trainer - MS Suite - Remote

Seattle, WA · Remote

$35 - $50/hr

Remote micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a ... Familiarity with conversational interactions or prompt engineering with language models is a plus ...

StoreOcean

Shopify Expert (Remote)

Seattle, WA · Remote

Small Shopify Tasks, Programming & Design We offer technology services which include: Small Shopify ... This position is for a Part-Time/Contract Shopify Expert position in which you will help fulfill ...

Saalex

General Consideration

Keyport, WA · On-site +1

... Part-Time/Internship Work Location: Various positions available, hybrid remote/in-office options ... Data Analysis and Engineering * Cybersecurity * Network Architecture * Project Management

Truveta

Senior Product Manager - Data Onboarding

Seattle, WA · On-site +1

$144K - $190K/yr

... LI-remote Who We Need Truveta is rapidly building a talented and diverse team to tackle complex ... You will partner closely with engineering teams, operations, and health system partners to create ...

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Showing results 21-40

All JobsData Engineer JobsPart Time Remote Data Engineer JobsPart Time Remote Data Engineer Jobs in Seattle, WA

Part Time Remote Data Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

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

As of Aug 13, 2026, the average yearly pay for part time remote data engineer in Seattle, WA is $147,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 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 Seattle, WA? The most popular types of Remote Data Engineer jobs in Seattle, WA are:
What are popular job titles related to Part Time Remote Data Engineer jobs in Seattle, WA? For Part Time Remote Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Data Engineer jobs in Seattle, WA look for? The top searched job categories for Part Time Remote Data Engineer jobs in Seattle, WA are:
Part Time Remote Data Engineer jobs near you
Infographic showing various Part Time Remote Data Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $147,621 per year, or $71 per hour.

AI Data Trainer - MS Suite - Remote

micro1 AI

Seattle, WA • Remote

$35 - $50/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Title: Business Document Expert (Excel, PowerPoint, Word)


Role Type: Contractor


Location: Remote


micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a project designed to advance AI capabilities in professional business documentation. 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.


Scope of Work


  1. Design and create realistic business tasks and scenarios based on your professional experience involving complex PowerPoint, Excel, and Word deliverables.
  2. Engage in dynamic, prompt-driven conversations with language models, challenging them with work representative of Fortune 500 business environments.
  3. Evaluate AI-generated solutions by comparing multiple model responses, assessing quality, accuracy, and effectiveness for real-world business needs.
  4. Develop and submit detailed assessments highlighting strengths, weaknesses, and areas for model improvement based on your domain expertise.
  5. Contribute cross-functional tasks such as financial modeling, executive presentations, strategic proposals, or data-driven reporting, tailored to your industry background.
  6. Document findings and provide actionable feedback to inform the ongoing development of AI systems for business documentation use cases.
  7. Collaborate asynchronously with project coordinators to ensure the authenticity and utility of submitted challenges and evaluations.


Preferred Qualifications

  1. At least 3 years of hands-on experience in business settings across finance, healthcare, consulting, tech, retail, or related industries.
  2. Extensive proficiency with advanced Excel, PowerPoint, and Word—creating complex models, reports, presentations, and analyses.
  3. Direct experience supporting or driving projects in strategy, operations, sales, marketing, finance, or HR functions within a Fortune 500 context.
  4. Expertise in designing nuanced business scenarios that reflect challenging, high-impact office deliverables.
  5. Strong written and verbal communication skills, with the ability to clearly articulate feedback and rationale in documentation.
  6. Familiarity with conversational interactions or prompt engineering with language models is a plus, but not required.

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