2

Part Time Data Engineering Jobs in Seattle, WA (NOW HIRING)

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Lead,mentorandgrow a team of data scientists, ML engineers and data analysts dedicated to ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Lead,mentorandgrow a team of data scientists, ML engineers and data analysts dedicated to ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Work closely with Directors, Sr. Managers of Data Science, and leaders ofArchitecture,Engineering ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Work closely with Directors, Sr. Managers of Data Science, and leaders ofArchitecture,Engineering ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

You will collaborate closely with engineering, data science, product, and leadership teams to ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

next page

Showing results 1-20

Part Time Data Engineering information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

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

As of Aug 24, 2026, the average yearly pay for part time data engineering 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 a part time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

How does a part time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

What are the key skills and qualifications needed to thrive as a part time data engineer, and why are they important?

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data pipeline development, maintenance, and analytics projects. Skills in SQL, Python, cloud platforms, and data tools remain valuable, and remote or flexible roles are increasingly available in the industry.

Can I work remotely as a part time data engineer?

Part time data engineering roles can often be performed remotely, especially when the work involves tasks like data pipeline development, database management, and cloud-based tools. Employers may require familiarity with tools such as SQL, Python, and cloud platforms, and remote work arrangements depend on the company's policies and project needs.

What are the most commonly searched types of Data Engineering jobs in Seattle, WA?

The most popular types of Data Engineering jobs in Seattle, WA are:

What are popular job titles related to Part Time Data Engineering jobs in Seattle, WA?

For Part Time Data Engineering jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Part Time Data Engineering jobs in Seattle, WA look for?

The top searched job categories for Part Time Data Engineering jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Part Time Data Engineering jobs?

Cities near Seattle, WA with the most Part Time Data Engineering job openings:

Infographic showing various Part Time Data Engineering job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Part Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $147,621 per year, or $71 per hour.

Data and AI Engineer (Mid-Level)

Shannon & Wilson Inc

Seattle, WA • On-site

$110K - $145K/yr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days 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 Microsoft'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

  • Bachelor's degree in Computer Science, Data Engineering, or related field (or equivalent experience).
  • 7 to 14 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 - 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).

Level Placement:

Typically, depending on an applicant's education, experience, other qualifications they possess, if they are a fit for the company and local office culture, and the current business needs, a Mid-Level Data Engineer typically would be placed at a Shannon & Wilson Senior Professional I, II, or III level with annual compensation ranging from $110,000 - $145,000.


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.