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

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

Shannon & Wilson is a leading geotechnical engineering firm dedicated to delivering innovative ... prorated for part-time employment) * Sick leave accrues based on state requirements * 9 paid ...

Data Engineer

Bremerton, WA · On-site

$77.60K - $176K/yr

Experience with Agile engineering practices * TS/SCI clearance with a polygraph Clearance ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Engineering Intern

Silverdale, WA · On-site

$59.30K - $98.50K/yr

... Part time Description & Requirements Shape the future of defense with MANTECH! Join a team ... Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ...

Research Data Scientist 1

Bellevue, WA · Remote

$95.95K - $106K/yr

Work with our Engineering teams to design and implement efficient data pipelines to collect ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

Research Data Scientist 1

Bellevue, WA · On-site

$95.95K - $106K/yr

Work with our Engineering teams to design and implement efficient data pipelines to collect ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

Use data and mapping tools to support project coordination and systems analysis * Assist senior ... Arcadis offers benefits for full time and part time positions. These benefits include medical ...

Engineering Designer

Seattle, WA · Hybrid

$70K - $100K/yr

... data for topographic surveys and right-of-way engineering for use in design analysis. • Bachelor ... Eligibility for some of the benefits outlined below is based on full-time work status; part-time ...

Transportation/ITS Engineering Intern

Seattle, WA · On-site

$19 - $24.75/hr

Use data and mapping tools to support project coordination and systems analysis * Assist senior ... Arcadis offers benefits for full time and part time positions. These benefits include medical ...

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Software Engineer Analyst

Kent, WA · Remote

$40 - $75/hr

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

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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 May 29, 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 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.

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 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.

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.

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:
Data Engineer

$90K - $120K/yr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 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).
  • 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 – 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 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, 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.