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

Based; must be willing and able to work onsite in Washington State as required Schedule: Part-Time, ... Azure Data Engineer Associate * Certified Data Management Professional (CDMP) * Snowflake ...

Data Migration Lead

Seattle, WA Β· On-site

$90 - $105/hr

Based; must be willing and able to work onsite in Washington State as required Schedule: Part-Time, ... Azure Data Engineer Associate * Certified Data Management Professional (CDMP) * Snowflake ...

PME Data Engineer

Seattle, WA Β· On-site

$121K - $153K/yr

C23 : PROTEC17-Non-Sups Staff (DCHS) Full- or Part-Time: Full Time Hours/Week: 40 hours/week ... engineering, applied math, statistics, or a related field. * A minimum of three (3) years of ...

Based; must be willing and able to work onsite in Washington State as required Schedule: Part-Time, ... Collaborate with enterprise architects, security architects, integration teams, developers, vendors ...

Data Architect

Seattle, WA Β· On-site

$80 - $100/hr

Based; must be willing and able to work onsite in Washington State as required Schedule: Part-Time, ... Collaborate with enterprise architects, security architects, integration teams, developers, vendors ...

Based; must be willing and able to work onsite in Washington State as required Schedule: Part-Time, ... Mentor and guide data architects, engineers, analysts, and technical teams. Required Qualifications

Enterprise Data Lead

Seattle, WA Β· On-site

$95 - $110/hr

Based; must be willing and able to work onsite in Washington State as required Schedule: Part-Time, ... Mentor and guide data architects, engineers, analysts, and technical teams. Required Qualifications

Data Governance Lead

Seattle, WA Β· On-site

$90 - $120/hr

Based; must be willing and able to work onsite in Washington State as required Schedule: Part-Time, ... Azure Data Engineer Associate * Snowflake certification * Google Cloud Professional Data Engineer

Based; must be willing and able to work onsite in Washington State as required Schedule: Part-Time, ... Azure Data Engineer Associate * Snowflake certification * Google Cloud Professional Data Engineer

AI Data Scientist - Remote

Seattle, WA Β· Remote

$100 - $200/hr

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

New

AI Data Scientist - Remote

Seattle, WA Β· Remote

$100 - $200/hr

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

New

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 ...

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 ...

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 ...

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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 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.

Data Migration Lead

Seattle, WA β€’ On-site

Part-time

Posted 20 days ago


Job description

Contract Type: 1099 Independent Contractor (Individual Consultant Only) | C2C: Not Accepted
Location: Remote, U.S. Based; must be willing and able to work onsite in Washington State as required
Schedule: Part-Time, approximately 20 hours/week
Compensation: $90–$105/hour, depending on experience and relevant certifications
Position Overview
REV is seeking an experienced Data Migration Lead to provide technical leadership for large-scale data migration and conversion activities supporting a major enterprise modernization initiative.
The Data Migration Lead will develop migration strategy and roadmaps, establish mapping and transformation approaches, oversee data quality and reconciliation, and ensure legacy data is accurately and securely transitioned into modern platforms.
Responsibilities
  • Develop enterprise data migration strategy, approach, and roadmap.
  • Define migration requirements, data selection rules, sequencing, and cutover strategies.
  • Partner with business SMEs to validate migration readiness and sequencing.
  • Lead data profiling, mapping, cleansing, transformation, validation, and reconciliation activities.
  • Define conversion specifications and transformation logic.
  • Coordinate migration defects, reconciliation activities, and audit trails.
  • Partner with data architecture, integration, application, and development teams.
  • Evaluate migration tools, automation approaches, and cloud platform capabilities.
  • Establish data quality checkpoints throughout migration cycles.
  • Support UAT planning and data-dependent test execution.
  • Develop and maintain migration runbooks, mapping sheets, conversion logs, and reconciliation procedures.
  • Define go/no-go criteria and rollback procedures.
  • Support migration cutover planning and execution.
  • Identify migration risks, dependencies, and technical issues.
  • Provide recommendations for complex migration problems and root-cause analysis.
  • Lead knowledge-transfer activities and mentor technical teams.
Required Qualifications
  • Bachelor's degree is required.
  • Bachelor's degree must include at least 12 semester hours or 18 quarter hours of computer science coursework.
  • Candidate must be able to provide documentation verifying the degree and specific computer science coursework completed if requested.
  • 7+ years of professional IT experience involving data analysis, system analysis, development, databases, data migration, or related technical disciplines.
  • 5+ years of hands-on Data Migration, Data Conversion, Data Architecture, or comparable senior data leadership experience.
  • Demonstrated experience leading large-scale data migration or conversion programs.
  • Strong experience with data profiling, mapping, cleansing, transformation, validation, reconciliation, and conversion readiness.
  • Experience developing migration strategies, roadmaps, cutover plans, and migration runbooks.
  • Experience with legacy system modernization and migration into modern/cloud platforms.
  • Strong SQL experience.
  • Experience with NoSQL and cloud data technologies.
  • Experience with APIs, ETL/ELT, messaging, event-driven pipelines, and service-oriented architectures.
  • Experience with Azure, AWS, and/or GCP.
  • Experience with modern development languages such as Java, C#, Python, and/or NodeJS.
  • Familiarity with Docker and Kubernetes.
  • Strong understanding of data quality, governance, security, privacy, and regulatory requirements.
  • Experience with authentication, authorization, encryption, and Zero Trust principles.
  • Strong analytical, problem-solving, communication, and stakeholder-management skills.
  • Must be comfortable working as an individual 1099 Independent Contractor.
  • Must be willing and able to work onsite in Washington State as required.
  • Must be able to complete required background screening, security training, confidentiality requirements, and system-access requirements.
Preferred Certifications
One or two relevant current certifications are preferred and may be considered when determining compensation within the posted range:
  • Microsoft Certified: Azure Data Engineer Associate
  • Certified Data Management Professional (CDMP)
  • Snowflake certification
  • Google Cloud Professional Data Engineer
  • Other current data migration, data engineering, or cloud certifications may be considered.
  • Preferred Experience
  • Mainframe-to-cloud migrations.
  • Large-scale enterprise data conversion.
  • Workers' compensation, insurance, financial, healthcare, or other highly regulated data environments.
  • Complex legacy modernization.
  • Automated migration tooling and reconciliation.
  • Enterprise MDM and reference data.
  • Public-sector modernization programs.
  • Migration programs involving sensitive or regulated data.
Engagement Requirements
This is a part-time, approximately 20-hour-per-week 1099 Independent Contractor engagement.
The engagement is primarily remote; however, the consultant must be willing and able to report onsite in Washington State when required by the client/program.
C2C submissions will not be accepted. This opportunity is for individual independent contractors only.
Equal Opportunity Employer Statement
REV is an Equal Opportunity Employer. We are committed to providing equal employment and contracting opportunities to all qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status.
 

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