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Freelance Azure Data Engineer Jobs in Seattle, WA

Data Engineer

Bellevue, WA ยท 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 ...

Data Engineer

Redmond, WA ยท 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 ...

Data Engineer

Seattle, WA ยท 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 ...

Data Engineer

Bellevue, WA ยท 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 ...

Lead Data Engineer - R01568940

Seattle, WA

$130K - $156K/yr

AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions Specialization * Azure Data Engineering Advanced: Senior Data Engineer Job requirements * Data Engineer: Brillio is looking for a Data ...

Data Engineer

Bellevue, WA ยท 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

Data Engineer

Bellevue, WA ยท 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)

Azure Databricks Architect

Seattle, WA ยท On-site

$72.25 - $94.25/hr

Strong experience with Azure Data Lake Storage (ADLS Gen2) . * Experience with Azure Synapse Analytics or Microsoft Fabric is a plus. * Experience with CI/CD using Azure DevOps , Git, and ...

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

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Freelance Azure Data Engineer information

See Seattle, WA salary details

$18

$71

$100

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

As of Aug 19, 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:

Azure Data Engineer

Meta Force Technology Staffing LLC

Seattle, WA โ€ข Remote

$61.50 - $79.75/hr

Contractor

Re-posted 16 days ago


Job description

Azure Data Engineer Roles - 100% Remote Role

Required Skills & Experience

  • 8+ years in release engineering & build automation (strong Azure expertise required)
  • Hands-on with Git, Azure DevOps Pipelines, and GitHub Actions
  • Proficient in Git workflows: branching, PR reviews, validation gates, branch protections
  • Deep understanding of Azure services:
    • VNets, NSGs, Virtual Machines
    • Azure Storage, Managed Identities, Key Vault
    • Load Balancer, Application Gateway, AKS fundamentals
  • Experience building reusable release templates and task libraries in YAML-based pipelines and GitHub Actions
  • Skilled in Python and PowerShell scripting for automation and tooling
  • Experience with ADF, Databricks, or Snowflake code promotions across environments
  • Knowledge of rollback and recovery patterns including pre-deployment backups and hotfix flows
  • Familiarity with containerized release tasks and secret management via Key Vault or Managed Identities
  • Understanding of Docker, Azure Container Registry, and container-based promotions
  • Strong focus on data release:
    • Promoting data pipelines
    • Monitoring releases
    • Tagging, cost tracking, operational reporting
  • Ability to build a 24/7 release framework:
    • Clear SLAs
    • Monitoring
    • Fast recovery with rollback playbooks
  • Effective stakeholder collaboration across Data Engineering, Cloud Architecture, Security, and Business Operations

Plusses

  • Azure Certifications: AZ-900, AZ-104, AZ-400
  • Bachelor's degree in Computer Science, Engineering, or related field
  • Strong grasp of artifact versioning, publishing practices, and dependency management
  • Experience building dashboards and observability tools for deployment metrics and release health
  • Exposure to advanced deployment strategies:
    • Parallel, Queued, Blue-Green, Canary Releases
  • Knowledge of FinOps practices: tagging, right-sizing, cloud cost optimization