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

The Walt Disney Company

Sr Data Engineer

Seattle, WA · On-site

$148K - $199K/yr

Design, develop and maintain data pipelines in AWS & Snowflake * Design and develop curated ... Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Orlando, FL ...

Chewy

Business Intelligence Engineer II

Bellevue, WA · On-site

$121K - $180K/yr

Business Intelligence Engineer II Bellevue, WA - AI and Data Innovation - Full time - R30283 What ... Snowflake; and * Data modeling experience in Retail/E-commerce. Employer: Chewy, Inc. Office ...

Chewy

Business Intelligence Engineer II

Bellevue, WA · On-site +1

$121K - $180K/yr

Business Intelligence Engineer II Bellevue, WA - AI and Data Innovation - Full time - R30283 What ... Snowflake; and * Data modeling experience in Retail/E-commerce. Employer: Chewy, Inc. Office ...

Chewy

Data Engineer II

Bellevue, WA · On-site +1

$144K - $180K/yr

Data Engineer II Bellevue, WA -Ads - Full time - R30286 What you'll do: * Own the design ... Snowflake; and * CI/CD. Employer: Chewy, Inc. Office Address: 1110 112th Ave NE Bellevue, WA 98004 ...

Chewy

Data Engineer II

Bellevue, WA · On-site

$144K - $180K/yr

Data Engineer II Bellevue, WA -Ads - Full time - R30286 What you'll do: * Own the design ... Snowflake; and * CI/CD. Employer: Chewy, Inc. Office Address: 1110 112th Ave NE Bellevue, WA 98004 ...

The Walt Disney Company

Lead Data Architect

Seattle, WA · On-site

$155K - $208K/yr

Experience with Snowflake * Experience with AI/ML * Strong communication skills, ability to ... Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Burbank, CA ...

RADIANT LOGISTICS INC

Product Manager - SAP TM

Renton, WA · On-site

$98K - $127K/yr

Exempt Job Type: Full-Time (On-site) Location: Renton, WA Salary Range: $98k - $127k Job Summary ... Familiarity with analytical data platforms (ClickHouse, Snowflake, or similar) used alongside SAP ...

iSpot

Principal Software Development Engineer

Bellevue, WA · On-site

$163K - $212K/yr

... e.g., Snowflake, BigQuery) and building real-time analytics pipelines. • Track record of ... In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot ...

Booz Allen Hamilton

Salesforce Solution Architect

Seattle, WA · On-site

$71.75 - $94.50/hr

Experience with data engineering and analytics platforms such as Databricks or Snowflake, focusing ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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All JobsSnowflake JobsFull Time Snowflake JobsFull Time Snowflake Jobs in Seattle, WA

Full Time Snowflake information

See Seattle, WA salary details

$40

$76

$96

How much do full time snowflake jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for full time snowflake in Seattle, WA is $76.94, according to ZipRecruiter salary data. Most workers in this role earn between $68.12 and $87.26 per hour, depending on experience, location, and employer.

What are the typical challenges faced by full time Snowflake professionals when integrating Snowflake with existing data infrastructure?

Full Time Snowflake professionals often encounter challenges related to migrating legacy data systems to the Snowflake cloud platform, especially ensuring data consistency and minimizing downtime. Integrating Snowflake with various ETL tools and existing business intelligence solutions can require careful planning to optimize performance and cost. Additionally, adapting security protocols and access controls to align with Snowflake’s architecture is crucial. Collaborative problem-solving with data engineers, database administrators, and security teams is often key to successfully overcoming these integration hurdles.

What are the key skills and qualifications needed to thrive as a full time Snowflake data engineer?

To thrive as a Full Time Snowflake Data Engineer, you need expertise in data warehousing, SQL, and cloud platforms, often with a background in computer science or a related field. Familiarity with the Snowflake Data Cloud, ETL tools, and certifications such as Snowflake SnowPro are highly valued. Strong problem-solving, collaboration, and communication skills set top candidates apart. These competencies ensure efficient data management, seamless integration, and effective teamwork needed for successful data solutions.

What is a full time Snowflake developer?

A Full Time Snowflake developer is a professional who specializes in working with the Snowflake data platform on a full-time basis. Their responsibilities typically include designing, developing, and maintaining data pipelines, data warehouses, and analytics solutions within Snowflake. They work with SQL, data modeling, ETL processes, and cloud integrations to help organizations manage and analyze large volumes of data efficiently. Full Time Snowflake developers often collaborate with data engineers, analysts, and business stakeholders to deliver scalable and secure data solutions.

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

AspectFull Time SnowflakeData Engineer
Required CredentialsSnowflake certifications, SQL, cloud platform knowledgeData management, SQL, cloud platforms, programming skills
Work EnvironmentCloud data platforms, analytics teamsData pipelines, ETL processes, cloud environments
Employer & Industry UsageTech companies, finance, retail using SnowflakeVarious industries, focusing on data infrastructure
Common Search & ComparisonYesYes

Full Time Snowflake roles focus on managing and optimizing data within Snowflake cloud data platforms, requiring certifications and expertise in SQL and cloud environments. Data Engineers build and maintain data pipelines and infrastructure, often working with Snowflake as part of broader data solutions. While both roles involve cloud data work, Snowflake specialists concentrate on Snowflake-specific tasks, whereas Data Engineers have a broader scope across data architecture and engineering.

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 are popular job titles related to Full Time Snowflake jobs in Seattle, WA? For Full Time Snowflake jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Full Time Snowflake jobs in Seattle, WA look for? The top searched job categories for Full Time Snowflake jobs in Seattle, WA are:
Full Time Snowflake jobs near you
Infographic showing various Full Time Snowflake job openings in Seattle, WA as of August 2026, with employment types broken down into 86% Full Time, 4% Part Time, and 10% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $160,030 per year, or $76.9 per hour.

Data Engineer (Azure & Snowflake) - Fulltime

Saransh Inc

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Re-posted 27 days ago

Job description

Role: Data Engineer (Azure and Snowflake)
Location: Seattle, WA (Onsite)
Job Type: Full Time
 
 
Must Have Skills:
Snowflake, Azure, SQL
 
Required:
  • The ideal candidate will be passionate about working with cutting-edge technologies to solve complex data engineering challenges.
  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent experience).
  • Proven experience as a Data Engineer with expertise in Azure, Databricks, DBT, and Snowflake.
  • Strong experience with Azure Data Factory, Azure Databricks, Azure Data Lake, and other Azure cloud services for data integration and processing.
  • Proficiency with DBT for implementing data transformation workflows, creating models, and writing SQL-based scripts.
  • Expertise in working with Snowflake for data warehousing, including experience with schema design, performance tuning, and optimization.
  • Strong experience with Apache Spark and working in Databricks for large-scale data processing.
  • Solid programming skills in SQL (advanced), Python, and Scala for developing data pipelines and transformation logic.
  • Experience with ETL/ELT processes, data orchestration, and automating data workflows using Azure and DBT.
  • Knowledge of data governance, security, and best practices for cloud data architectures.
  • Familiarity with version control systems like Git, and experience in Agile environments.
 
Preferred:
  • DBT Certifications or experience with advanced features such as DBT testing, macros, and hooks.
  • Azure, Databricks or Snowflake certifications
  • Experience with Snowflake performance tuning, including optimization of queries, schemas, and data partitioning.
  • Familiarity with CI/CD practices and experience building automated pipelines for data workflows.
  • Knowledge of cloud cost optimization in Azure and Snowflake for better resource utilization.