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

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All JobsData Engineering JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in Seattle, WA

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 Sep 15, 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.

Director, Engineering Excellence & Design Standards

Seattle, WA

Shield AI
Software Development • 11 - 50 employees
Learn more about Shield AIexternal

$209K - $313K/yr

Full-time, Part-time

Posted 21 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description: 

Shield AI is building the world’s best AI pilot to protect service members and civilians with intelligent systems. As we scale both our proven VBAT platform and develop next-generation systems like XBAT, we are investing in how we build—not just what we build. 

We are seeking a senior technical leader to define and operationalize engineering design standards across the company. This position is focused on establishing engineering excellence—driving consistency, rigor, and scalability across design, analysis, certification, CAD, documentation, and configuration management. 

This is a high-impact individual contributor role with broad scope across multiple engineering disciplines, responsible for raising the bar on engineering quality without slowing down execution. 

What you'll do:
  • Establish and own engineering design standards across programs, including XBAT and VBAT 
  • Define and standardize best practices for aerospace design, analysis workflows, and system-level engineering rigor  
  • Develop standards for CAD usage, drawing quality, standard notes, release processes, and engineering documentation 
  • Manufacturing & supply chain handoff including EBOM and MBOM creation along with driving part demand
  • Build and mature an engineering excellence framework that scales with the company  
  • Partner with engineering leadership to align teams on consistent ways of working  
  • Ensure standards are practical, accessible, and consistently applied across teams  
  • Influence design decisions and engineering processes across disciplines without becoming a bottleneck  
  • Support both near-term program execution and long-term scalability of engineering processes  
  • Drive improvements in configuration management, documentation quality, and design consistency  
  • Ability to obtain a S//SAR level security clearance desired.
Required qualifications:
  • 10+ years of experience in aerospace or high-performance hardware design environments 
  • Deep experience working within organizations that maintain strong engineering standards and design rigor 
  • Broad technical background across multiple engineering domains (mechanical, aerospace, systems, etc.)  
  • Experience defining or applying design standards, documentation practices, and configuration management systems  
  • Familiarity with industry standards such as MIL-STD-810, DO-160, and ASME Y14.5 (GD&T)  
  • Demonstrated ability to influence senior engineers and drive alignment across teams  
  • Strong track record of improving engineering quality, consistency, and scalability 
  • Excellent communication skills with the ability to clearly articulate standards and expectations across technical audiences 
#LI-JM2
#LF

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.