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Part Time Computer Vision Engineer Jobs in Seattle, WA

Data Engineer

Seattle, WA ยท On-site

$90K - $120K/yr

Requirements: * Bachelor's degree in Computer Science, Data Engineering, or related field (or ... Medical, prescription, vision, dental, long-term care and life insurance plans are offered to ...

Mechanical Engineer/Designer

Seattle, WA ยท On-site

$83K - $113K/yr

... specific computer applications. You will participate in the evaluation, recommendation, and ... part-time employees (working at least 20 hours per week) have access to medical, dental, and vision ...

Associates degree in computer science or engineering. * Minimum 3 years field experience ... Specific vision abilities required by this job include close vision and ability to adjust focus.

You're the right fit for this role if you have a knack for working with computer hardware and a ... Medical, Dental, Vision * Virtual Care * Life, Critical illness, Accident, Long and Short-Term ...

New

Drainage Engineer III

Monroe, WA ยท On-site

$55.50 - $70.35/hr

PROTEC17-DES, DLS, DNRP Full- or Part-Time: Full Time Hours/Week: 40 hours/week Summary This ... Specific vision abilities include close, distant, and color. * Physical activity includes lifting ...

Allen School of Computer Science & Engineering has an outstanding opportunity for a part time Video ... What is your vision for how video can be used to further the mission of the Allen School?

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Showing results 1-20

Part Time Computer Vision Engineer information

See Seattle, WA salary details

$55.2K

$138.3K

$156.5K

How much do part time computer vision engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for part time computer vision engineer in Seattle, WA is $138,288.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,900.00 and $149,600.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Computer Vision Engineer vs Part Time Machine Learning Engineer?

AspectPart Time Computer Vision EngineerPart Time Machine Learning Engineer
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with OpenCV, deep learning frameworksBachelor's or Master's in Computer Science, Data Science, or related fields; experience with ML frameworks like TensorFlow, PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, startups, research institutions working on predictive models and data analysis
Employer & Industry UsageUsed in industries like automotive, healthcare, security for visual data processingApplied across finance, healthcare, e-commerce for data-driven decision making

While both roles involve machine learning skills, a Part Time Computer Vision Engineer specializes in visual data analysis and image processing, whereas a Part Time Machine Learning Engineer focuses on developing algorithms across various data types. The choice depends on your expertise in visual technologies versus broader machine learning applications.

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

To thrive as a Part Time Computer Vision Engineer, you need a strong background in computer science, mathematics, and experience with image processing and machine learning, often supported by a relevant degree. Familiarity with programming languages such as Python or C++, deep learning frameworks like TensorFlow or PyTorch, and version control systems is typically required. Strong problem-solving abilities, collaboration, and effective time management are crucial soft skills for balancing part-time responsibilities and project goals. These skills and qualities are important to deliver innovative, high-quality solutions efficiently in a dynamic and technically demanding field.

What are part-time computer vision engineers?

Part-time computer vision engineers are professionals who specialize in designing and implementing computer vision algorithms and systems, but work fewer hours than a full-time schedule, often on a contract or project basis. Their responsibilities typically include developing models for image and video analysis, object detection, and related tasks using machine learning and deep learning techniques. These engineers often collaborate with teams to integrate vision systems into products, troubleshoot issues, and optimize performance. Working part-time allows flexibility, making this role suitable for students, freelancers, or those seeking work-life balance.

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

Part-time computer vision engineers often face challenges such as balancing project deadlines with limited working hours and staying updated with rapidly evolving technologies. Effective communication with full-time team members is essential to ensure alignment on project goals and deliverables. Utilizing collaborative tools, maintaining clear documentation, and attending regular meetings can help bridge gaps in communication and workflow. Additionally, setting realistic timelines and prioritizing tasks can enable part-time engineers to maximize their impact and stay productive within their schedule.
What are the most commonly searched types of Computer Vision Engineer jobs in Seattle, WA? The most popular types of Computer Vision Engineer jobs in Seattle, WA are:
What are popular job titles related to Part Time Computer Vision Engineer jobs in Seattle, WA? For Part Time Computer Vision Engineer jobs in Seattle, WA, the most frequently searched job titles are:
Infographic showing various Part Time Computer Vision Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $138,288 per year, or $66.5 per hour.
Data Engineer

Data Engineer

Shannon & Wilson Inc

Seattle, WA โ€ข On-site

$90K - $120K/yr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 hours ago


Job description

Description:

Shannon & Wilson is a leading geotechnical engineering firm dedicated to delivering innovative solutions in infrastructure, transportation, and environmental projects. As part of our digital transformation journey, we are investing in modern data platforms and analytics capabilities to support better decision-making and operational excellence.


Job Summary:

We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data platform (Microsoft Fabric, Azure SQL, Power BI, etc.). This role will be instrumental in ensuring that our engineers, supporting staff, and leadership have reliable, trusted access to data for project delivery, reporting, and strategic insights.


Responsibilities:

Platform Operations & Maintenance

- Administer and monitor Microsoft Fabric (or Azure Synapse/Lakehouse), Azure SQL Databases, and Power BI workspaces.

- Ensure data pipelines, notebooks, and scheduled refreshes run reliably and on time.

- Implement monitoring, alerting, and cost optimization strategies for the platform.

Data Engineering & Integration

- Build, maintain, and optimize ingestion pipelines from internal systems (ERP, project management software) and external data sources.

- Design and maintain clean, curated data models to support reporting and analytics needs.

- Collaborate with business analysts to ensure data structures meet business requirements.

Governance & Security

- Apply data governance standards for naming conventions, schema design, and access control.

- Work with IT to enforce security policies, manage permissions, and ensure compliance with client and regulatory requirements.

Continuous Improvement

- Stay current with Microsoftโ€™s data platform capabilities (Fabric, Power BI, Azure Data Factory, etc.).

- Recommend new features, automation, or process improvements to enhance reliability and usability.

- Partner with stakeholders to identify and implement new use cases for analytics and reporting.

Requirements:
  • Bachelorโ€™s degree in Computer Science, Data Engineering, or related field (or equivalent experience).
  • Must have 3+ years of experience with Microsoft data stack (Azure SQL Database, Azure Data Factory, Synapse, Power BI, or Fabric).
  • Strong SQL development skills and experience with data modeling (star/snowflake schema) required.
  • Hands-on experience with ETL/ELT pipelines and automation scheduling required.
  • Familiarity with cloud-based data security and access control practices.
  • Experience with Microsoft Fabric Lakehouse and Mirrored Databases preferred.
  • Familiarity with engineering or construction industry data (projects, cost, schedule) preferred.
  • Python or Spark experience for data transformation preferred.
  • Knowledge of DevOps/Git-based version control for data pipelines preferred.
  • Strong collaboration skills โ€“ able to work with project managers, analysts, and IT staff.
  • Excellent troubleshooting and problem-solving skills.
  • Continuous improvement mindset with willingness to learn and adopt new technologies.
  • Clear communication skills (both technical and business-oriented).

Applicants must be authorized to work in the United States. Shannon & Wilson will not sponsor applicants for work visas.


Level Placement:

Typically, depending on an applicantโ€™s education, experience, other qualifications they possess, if they are a fit for the company and local office culture, and the current business needs, an Entry-Level Data Engineer typically would be placed at a Shannon & Wilson Professional I, II, III, or IV level with annual compensation ranging from $90,000 - $120,000.


Shannon & Wilson is committed to providing a comprehensive total rewards package that includes the following benefits:

  • Employee stock ownership
  • Medical, prescription, vision, dental, long-term care and life insurance plans are offered to employees (and their families).
  • Pre-tax health and daycare FSA
  • Profit sharing and 401(k) plans with annual safe-harbor contributions
  • 10 - 20 paid vacation days per year for full-time employees, based on years of experience (prorated for part-time employment)
  • Sick leave accrues based on state requirements
  • 9 paid holidays per year + 1 personal holiday
  • Paid volunteer day
  • Paid time off for bereavement and jury duty
  • Two weeks of paid parental leave
  • Lunch & Live wellness webinars and an Employee Assistance Program
  • Mentorship Program
  • Tuition Reimbursement
  • Free parking

Shannon & Wilson is an Equal Opportunity Employer

Shannon & Wilson participates in the E-Verify program.

Please note that non-solicited resumes from external recruitment agencies will not be considered as introductions to our business, unless a preapproved agreement is in place and the external recruitment agency has been engaged to work on this specific vacancy.