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Azure Data Engineer Intern Jobs in Seattle, WA (NOW HIRING)

Azure Data Engineer

Bellevue, WA · On-site

$129.20K - $155.20K/yr

Role: Azure Data Engineer Location: Bellevue, WA Duration: 6 months Azure Data Engineer Synapse; Fabric; SQL Server; Python; Azure Storage; ADF; Power Bi,Azure OpenAI Role Descriptions: Unified ...

Azure Data Engineer

Seattle, WA · On-site

$130.30K - $156.50K/yr

Position: Azure Data Engineer Location: Seattle, WA (Onsite) Employment Type: Full-Time We are looking for an experienced Azure Data Engineer with strong expertise in data warehousing, SQL ...

Data Engineer

Bellevue, WA · On-site

$129.20K - $155.20K/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 ...

Azure Data Engineer

Bellevue, WA · On-site

$129.20K - $155.20K/yr

Hands-on data pipeline development, ingest patterns in Azure * Orchestration tools, ADF or Airflow * SQL * Denormalized Data modeling for big data systems MUST HAVE competencies: * Collaborative ...

Data Engineer

Redmond, WA · On-site

$128.20K - $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 (Azure Data Platform)

Bellevue, WA · On-site

$129.20K - $155.20K/yr

Experience implementing CI/CD and release automation using Azure DevOps, including Azure Pipelines ... data lineage, and compliance controls. * Strong scripting and engineering skills in Python, SQL ...

Data engineer - Seattle WA

Seattle, WA · On-site

$130.40K - $156.60K/yr

Data Engineer Data engineer who has experience with Databricks and Unity Catalog ... Seattle WA 10 months Core Skills - Experience - 10+ years Azure Data bricks Azure data piplelines ...

ADF Data Engineer

Bellevue, WA · Remote

$129.20K - $155.20K/yr

We are seeking a skilled and proactive Azure ADF Data Engineer. This senior-level role is fully remote and ideal for a Data Engineer passionate about scalable cloud data solutions within Azure ...

Data Engineer

Seattle, WA · Remote

$117.20K - $140.70K/yr

Senior Data Engineer Location: Remote JD: Key Responsibilities • Design and implement ETL ... and Azure Data Factory. • Build and maintain a metadata-driven Lakehouse architecture with ...

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Azure Data Engineer Intern information

See Seattle, WA salary details

$15

$28

$44

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

As of May 28, 2026, the average hourly pay for azure data engineer intern in Seattle, WA is $28.93, according to ZipRecruiter salary data. Most workers in this role earn between $23.51 and $32.84 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer Intern, and why are they important?

To thrive as an Azure Data Engineer Intern, you need a solid understanding of data modeling, SQL, and basic cloud computing concepts, typically supported by coursework in computer science or data engineering. Familiarity with Azure services like Azure Data Factory, Azure SQL Database, and tools such as Power BI or Python is highly beneficial. Strong analytical thinking, attention to detail, and effective communication enhance your ability to manage data pipelines and collaborate with team members. These skills and qualities are vital for building efficient data solutions and contributing to real-world business insights using cloud-based technologies.

What types of projects and responsibilities can I expect as an Azure Data Engineer Intern?

As an Azure Data Engineer Intern, you can expect to work on projects involving data integration, transformation, and storage using Microsoft Azure services such as Azure Data Factory, Azure SQL Database, and Azure Databricks. Your daily tasks may include assisting with data pipeline development, supporting data migration initiatives, and collaborating with senior engineers to optimize data workflows. You'll likely participate in team meetings, work closely with data analysts and software developers, and contribute to troubleshooting and improving data solutions. This role offers hands-on experience with cloud-based data engineering tools and an opportunity to learn best practices in a collaborative, fast-paced environment.

What does an Azure Data Engineer Intern do?

An Azure Data Engineer Intern assists in designing, building, and maintaining data solutions using Microsoft Azure services. Their responsibilities typically include helping with data integration, transformation, and storage tasks, as well as supporting data pipelines and analytics platforms in the cloud. Interns often work alongside experienced data engineers to learn best practices in data modeling, ETL processes, and use of Azure tools such as Azure Data Factory, Azure Databricks, and Azure SQL Database. They may also contribute to troubleshooting data issues and optimizing performance to ensure reliable data delivery.

What is the difference between Azure Data Engineer Intern vs Data Engineer?

AspectAzure Data Engineer InternData Engineer
Required CredentialsBasic knowledge of Azure, SQL, and data fundamentals; often pursuing related degreesAdvanced certifications like Azure Data Engineer Associate, relevant experience
Work EnvironmentInternship setting, learning-focused, Azure cloud platformFull-time professional role, managing data pipelines and architecture
Employer & Industry UsageTech companies, startups, or enterprises using Azure cloudOrganizations across industries with data infrastructure needs
Search & Comparison IntentEntry-level, learning about Azure data rolesProfessional data management and engineering tasks

The Azure Data Engineer Intern role is an entry-level position focused on learning Azure data tools and gaining practical experience. In contrast, a Data Engineer is a full-time professional responsible for designing, building, and maintaining data pipelines and infrastructure. The internship provides foundational knowledge, while the Data Engineer role requires more advanced skills and certifications.

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 job categories do people searching Azure Data Engineer Intern jobs in Seattle, WA look for? The top searched job categories for Azure Data Engineer Intern jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Azure Data Engineer Intern jobs? Cities near Seattle, WA with the most Azure Data Engineer Intern job openings:

$62.50 - $77.75/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: Azure Data Engineer
Location: Seattle, WA (Remote - Local Candidates Preferred)
Duration: 6-12 Months Plus
Must have :
  • Strong in Object Oriented Analysis & Design concepts.
  • Strong understanding of the Microsoft Fabric environment setup
  • Strong in programming languages such as C#, Python, Scala etc. with hands-on in data interchangeable formats like JSON, YMAL.
  • Strong knowledge on PowerShell
  • Good understanding of data integration techniques, ETL processes, task/data orchestration with hands-on in AT LEAST one of the tools: Azure Data Factory, Azure Logic App.
  • Familiar with the Azure ecosystem, with a good understanding of areas like Azure Event Grid/Hubs, Azure Apps/Functions, Azure Stream Analytics, etc.
  • Problem solving and troubleshooting with good comm and continuous learning attribute.

Good to have-
  • Understanding of data modeling & designing principles.
  • Understanding of cloud-native architecture patterns, including microservices, serverless computing, and containerization. Understanding how to design scalable solutions on Azure.
  • Understanding of data governance principles, data privacy regulations, and security best practices. Knowledge of Azure security features, data encryption, and access control mechanisms.
  • Knowledge of DevOps practices and tools such as Azure DevOps, Git, and continuous integration/continuous deployment (CI/CD) pipelines.
  • Knowledge of database management systems, both traditional and cloud-based, like Azure Cosmos DB, Azure SQL Database, etc.