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Freelance Azure Data Engineer Jobs in Seattle, WA

Georgia IT, Inc.

Azure Data Engineer

Redmond, WA · On-site

$61.50 - $76.50/hr

Georgia IT, Inc. is seeking an Azure Data Engineer to work primarily in the Redmond area. The role involves designing and maintaining data pipelines and models using Azure data services and ...

ClifyX

Azure Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

ClifyX is seeking an Azure Data Engineer to join their team in Seattle, WA. The role requires strong experience in Azure and Databricks, focusing on data engineering responsibilities. Qualifications

Syntricate Technologies

Azure Data Engineer__ITAR

Seattle, WA · On-site

$62.50 - $77.75/hr

Syntricate Technologies is seeking an Azure Data Engineer for a contract position. The role involves building and maintaining data pipelines, supporting Azure infrastructure, and collaborating with ...

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Location: Bellevue, WA Job Type: Onsite/Remote: Hybrid * Experience in Synapse with ... Working Knowledge of Azure Data factory, Azure Data Lake, and Azure Data lake storage * Hands-on in ...

Staffingine LLC

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Data Engineer Job Location: Redmond WA Job Type: Contract ... Design, develop, and maintain scalable data pipelines using Azure Data Factory, PySpark, and ...

Noblesoft Technologies

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Senior Data Engineer Location: Remote JD: Key Responsibilities * Design and implement ETL pipelines ... Enable interactive data consumption via Power BI, Azure OpenAI, and other analytics tools. * Ensure ...

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Job Location: Bellevue - Washington Job Type: Contract to Hire ... Design build and maintain robust scalable and efficient data pipelines using tools such as Azure ...

Spark Tek Inc

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

Required : • Cosmos SQL experience • Azure Power BI • Knowledge of Azure Data Factory • ADLS • Individuals with strong technical background in SQL • SQL Server data engineering • BI • ...

Zortech Solutions

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Knowledge of Azure Data Factory ADLS * Individuals with strong technical background in SQL SQL Server data engineering BI Kusto Data Analysis * and strong knowledge of Data Warehousing Concepts

Noblesoft Technologies

Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Data Engineer Location: Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of ... Design and develop ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks (PySpark)

Northern Base

Azure Fabric Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Data Engineering; Azure Data Factory; Continuous Integration and Continuous Delivery (CI/CD); Communication Skills and Cross Team Collaboration Skills; Azure DevOps; Git; Advanced SQL Roles ...

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How much do freelance azure data engineer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for freelance azure data engineer in Seattle, WA is $71.67, according to ZipRecruiter salary data. Most workers in this role earn between $61.01 and $80.72 per hour, depending on experience, location, and employer.

What does a freelance Azure Data Engineer do?

A Freelance Azure Data Engineer is a professional who designs, builds, and maintains data solutions on Microsoft Azure for various clients or organizations on a contract or project basis. Their responsibilities include developing data pipelines, managing data storage, ensuring data security, and optimizing data processes using Azure services like Azure Data Factory, Azure SQL Database, and Azure Databricks. They often work independently, collaborating with clients to understand requirements and deliver scalable, cloud-based data solutions. This role requires strong knowledge of cloud computing, data engineering best practices, and Microsoft Azure's suite of data tools.

What are the key skills and qualifications needed to thrive as a freelance Azure Data Engineer?

To thrive as a Freelance Azure Data Engineer, you need expertise in data modeling, ETL development, and a strong grasp of cloud data architectures, typically supported by a degree in computer science or related fields. Familiarity with Microsoft Azure data services (such as Azure Data Factory, Synapse Analytics, and Azure SQL Database), proficiency in SQL, and certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, effective communication, and the ability to work independently distinguish top freelancers in this role. These competencies are crucial for delivering scalable, efficient, and reliable data solutions that meet diverse client needs in dynamic project environments.

What are some common challenges faced by freelance Azure Data Engineers when working with multiple clients?

Freelance Azure Data Engineers often face challenges such as managing diverse client requirements, adapting to different data architectures, and ensuring data security across various environments. Balancing multiple projects can require strong time management and communication skills, especially when clients have overlapping deadlines or use different Azure services. Effective documentation and proactive communication with client teams are essential to align expectations and deliver consistent, high-quality solutions.

What is the difference between Freelance Azure Data Engineer vs Azure Data Analyst?

AspectFreelance Azure Data EngineerAzure Data Analyst
CredentialsAzure certifications, SQL, data engineering skillsAzure certifications, Power BI, data analysis skills
Work EnvironmentProject-based, remote or on-site, client-specificProject-based or full-time, remote or on-site, client or internal teams
Industry UsageUsed across industries for building data pipelines and infrastructureUsed for interpreting data, creating reports, and visualizations

Freelance Azure Data Engineers focus on designing and implementing data infrastructure using Azure, while Azure Data Analysts primarily analyze data and create visual reports. Both roles require Azure certifications but serve different functions in data management and analysis.

What are the most commonly searched types of Azure Data Engineer jobs in Seattle, WA?

The most popular types of Azure Data Engineer jobs in Seattle, WA are:

What are popular job titles related to Freelance Azure Data Engineer jobs in Seattle, WA?

For Freelance Azure Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Freelance Azure Data Engineer jobs in Seattle, WA look for?

The top searched job categories for Freelance Azure Data Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Freelance Azure Data Engineer jobs?

Cities near Seattle, WA with the most Freelance Azure Data Engineer job openings:

Freelance Azure Data Engineer jobs near you

Azure Data Engineer

Georgia IT, Inc.

Redmond, WA • On-site

$61.50 - $76.50/hr

Full-time

Re-posted yesterday

Key responsibilities

  • Design, configure, and maintain data pipelines, data ingestion, data transformation, data storage, data access, data security, data governance, and data quality using Azure tools and best practices.

  • Maintain and configure Semantic Model settings and LakeHouse in Microsoft Fabric, including access management and data caching.

  • Collaborate with stakeholders and team members to support data platform development and ensure effective communication.

Job description

Job Summary:
Georgia IT, Inc. is seeking an Azure Data Engineer to work primarily in the Redmond area. The role involves designing and maintaining data pipelines and models using Azure data services and collaborating with various stakeholders in the data platform team.
Responsibilities:
• Expertise with Azure data services, such as Microsoft Fabric, Azure Analysis Services, Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure Purview.
• Ability to Design, configure and maintain Semantic Model settings in the Fabric workspace
• Expertise in maintaining LakeHouse in Microsoft Fabric with clear understanding of access management
• Clear understanding of data pipelines in Fabric and data caching in semantic model
• Ability to design data pipelines, data ingestion, data transformation, data storage, data access, data security, data governance, and data quality using Azure tools and best practices.
• Proficiency in SQL and other query languages, such as T-SQL, KQL, Spark SQL
• Knowledge of data modeling techniques and patterns for relational and NoSQL databases.
• Understanding of big data concepts and architectures, such as distributed computing, parallel processing, streaming analytics, and machine learning.
• Familiarity with DevOps practices and tools for data platform development and deployment, such as Azure DevOps, GitHub, Azure Resource Manager, Azure CLI, PowerShell, and ARM templates.
• Ability to communicate effectively with stakeholders and collaborate with other roles in the data platform team, such as data engineers, data analysts, data scientists, solution architects, platform engineers, security engineers, and business users.
Qualifications:
Required:
• Expertise with Azure data services, such as Microsoft Fabric, Azure Analysis Services, Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure Purview.
• Ability to Design, configure and maintain Semantic Model settings in the Fabric workspace
• Expertise in maintaining LakeHouse in Microsoft Fabric with clear understanding of access management
• Clear understanding of data pipelines in Fabric and data caching in semantic model
• Ability to design data pipelines, data ingestion, data transformation, data storage, data access, data security, data governance, and data quality using Azure tools and best practices.
• Proficiency in SQL and other query languages, such as T-SQL, KQL, Spark SQL
• Knowledge of data modeling techniques and patterns for relational and NoSQL databases.
• Understanding of big data concepts and architectures, such as distributed computing, parallel processing, streaming analytics, and machine learning.
• Familiarity with DevOps practices and tools for data platform development and deployment, such as Azure DevOps, GitHub, Azure Resource Manager, Azure CLI, PowerShell, and ARM templates.
• Ability to communicate effectively with stakeholders and collaborate with other roles in the data platform team, such as data engineers, data analysts, data scientists, solution architects, platform engineers, security engineers, and business users.
Company:
Georgia IT, Inc. provides IT Consulting for a wide range of IT services and custom build turn-key enterprise solutions. Founded in 2007, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.
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About Georgia IT

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A PROFESSIONAL SERVICES ORGANIZATION WITH A VISION OF DELIVERING SIMPLE AFFORDABLE, SUSTAINABLE SOLUTIONS FOR COMPLEX PROBLEMS WITH INTEGRITY. OUR GOAL IS TO ACHIEVE ALL THIS IN A COLLABRATIVE APPROACH WITH ALL PARTIES INVOLVED IN DELIVERING SOLUTIONS/PRODUCTS.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007

Social media

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