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Part Time Snowflake Jobs in Seattle, WA (NOW HIRING)

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

Strong SQL development skills and experience with data modeling (star/snowflake schema) required ... prorated for part-time employment) * Sick leave accrues based on state requirements * 9 paid ...

Part Time Snowflake information

See Seattle, WA salary details

$11

$66

$94

How much do part time snowflake jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for part time snowflake in Seattle, WA is $66.82, according to ZipRecruiter salary data. Most workers in this role earn between $59.90 and $77.69 per hour, depending on experience, location, and employer.

Does Snowflake offer remote work?

Part Time Snowflake roles often offer remote work options, depending on the employer and specific position. Many companies in data and cloud services allow remote or hybrid schedules, especially for roles involving skills like SQL, data warehousing, and cloud platform management. Candidates should review individual job postings for remote work availability and requirements.

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

To thrive as a Part Time Snowflake Data Engineer, you need strong SQL skills, experience with cloud data warehousing, and a background in data modeling or computer science. Familiarity with the Snowflake platform, ETL tools, and relevant certifications such as Snowflake SnowPro are highly beneficial. Analytical thinking, clear communication, and the ability to troubleshoot data issues are crucial soft skills for success in this role. These competencies ensure efficient data processing, robust data solutions, and effective collaboration in dynamic business environments.

Are Snowflake jobs in high demand?

Snowflake-related jobs, including roles like data engineers and analysts, are in high demand due to the increasing adoption of cloud data platforms. Skills in SQL, cloud computing, and data warehousing are highly valued, and many organizations seek professionals with Snowflake expertise to manage and analyze large datasets.

What are part-time Snowflake jobs?

Part-time Snowflake jobs typically involve working with the Snowflake cloud data platform on a non-full-time basis. These roles may include responsibilities such as managing data warehousing solutions, creating and optimizing SQL queries, supporting data migration, and assisting with analytics using Snowflake. Part-time positions are ideal for professionals seeking flexible hours while still applying their skills in cloud-based data management. Employers often look for candidates with experience in SQL, data modeling, and familiarity with Snowflake’s architecture.

What are some common challenges faced by part-time Snowflake developers, and how can they be addressed?

Part-time Snowflake developers often face the challenge of staying updated with frequent platform updates and changes in best practices, especially when not working daily. Additionally, managing data pipelines and troubleshooting issues within limited hours can be demanding. Effective communication with full-time team members and leveraging thorough documentation can help bridge these gaps. Regularly scheduling sync meetings and utilizing Snowflake’s robust online community can also support continuous learning and problem-solving.

What is the difference between Part Time Snowflake vs Part Time Data Engineer?

AspectPart Time SnowflakePart Time Data Engineer
Required CredentialsSnowflake certifications, SQL knowledgeSQL, ETL tools, cloud platform certifications
Work EnvironmentCloud-based data platform, remote or on-siteData pipelines, cloud environments, collaborative teams
Employer & Industry UsageTech, finance, retail companies using SnowflakeVarious industries managing data workflows
Search & Comparison IntentFocus on Snowflake-specific rolesBroader data management roles

Part Time Snowflake roles focus on managing and optimizing data within the Snowflake platform, requiring Snowflake-specific certifications. Part Time Data Engineer positions involve building and maintaining data pipelines across various platforms, often requiring broader technical skills. While both roles work with data, Snowflake specialists concentrate on the Snowflake environment, whereas Data Engineers handle diverse data workflows.

Is it hard to get hired at Snowflake?

Getting hired for a Part Time Snowflake role can vary depending on the candidate's experience with data warehousing, SQL, and cloud platforms. Strong technical skills, relevant certifications, and a good understanding of Snowflake's environment can improve chances, but competition may be high for such positions.

Is Snowflake a high paying job?

A part-time Snowflake role typically offers lower pay compared to full-time positions or specialized data roles, but compensation can vary based on experience, location, and responsibilities. Snowflake skills, such as working with cloud data platforms and SQL, may lead to higher-paying opportunities in data management and analytics fields.
What are the most commonly searched types of Snowflake jobs in Seattle, WA? The most popular types of Snowflake jobs in Seattle, WA are:
What job categories do people searching Part Time Snowflake jobs in Seattle, WA look for? The top searched job categories for Part Time Snowflake jobs in Seattle, WA are:
Infographic showing various Part Time Snowflake job openings in Seattle, WA as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $138,979 per year, or $66.8 per hour.
Data Engineer

$90K - $120K/yr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


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.