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

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Requirement - AI Data Engineer Location- Redmond WA 98052-Hybrid Contract W2 Top 3 Must-Have Hard ... Develop and optimize Azure Data Explorer (Kusto/ADX) queries, functions, data models, scheduled ...

Lead Data Architect

Bellevue, WA · On-site

$173K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Company Description Founded by experienced entrepreneurs and engineers in 2016, Pismo is a ... Design and govern real-time and event-driven data architectures leveraging Apache Kafka and Azure ...

C# ETL Azure Developer---NEED

Seattle, WA

$62.50 - $77.75/hr

C# ETL Azure Developer Location - Seattle, WA Duration - 6 months Developer will be expected to ... Basic Qualifications * 7+ years of experience in developing data management code in C# * ETL ...

Lead Data Architect

Bellevue, WA

$173K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Data Engineer, operating in complex enterprise environments. Deep expertise in Streaming architectures, including managed or commercial distributions (e.g., Kafkacompatible Azure Event Hubs or ...

Azure Developer

Redmond, WA · On-site

$61.50 - $76.50/hr

... and data analytics. Since its inception, Halo Group has been recognized for numerous awards ... Net/SQL with abilities to ramp up on USQL (programming language for Azure) 4. Strong technical ...

Lead Data Architect

Bellevue, WA

$173K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Data Engineer, operating in complex enterprise environments. Deep expertise in Streaming architectures, including managed or commercial distributions (e.g., Kafkacompatible Azure Event Hubs or ...

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Strong programming skills in Python, C#, and PowerShell. * Experience with AI-assisted engineering ... Develop and optimize Azure Data Explorer (Kusto/ADX) queries, functions, data models, scheduled ...

Jr. Azure Developer

Redmond, WA · On-site

$61.50 - $76.50/hr

... and data analytics. Since its inception, Halo Group has been recognized for numerous awards ... Net/SQL with abilities to ramp up on USQL (programming language for Azure) - Strong technical ...

.NET Developer (Azure)

Redmond, WA

$61.50 - $76.50/hr

At least 2 year of experience with below skills * C#, data structures, and basic algorithms. * Implied: .Net and Visual Studio * Production coding experience. * Experience with Azure * Portal

Lead Data Engineer

Lynnwood, WA · On-site

$45 - $55/hr

Training & development Lead Data Engineer - Azure Databricks Location: Charlotte, North Carolina 28273 Work Arrangement: Onsite, 5 days per week Let's Create Our Future Together at The AES Group The ...

Senior Data Engineer

Redmond, WA · On-site

$118K - $161K/yr

The Azure Data and AI Solutions (ADAS) Team within SCHIE develops advanced analytical and tooling ... This high-impact role combines data engineering with data science, and will have direct ...

Azure With ADL/ADW/ADF

Redmond, WA

$61.50 - $76.50/hr

Experience building Data warehouses using SQL Server 2012/2016 * Working experience on .Net/SQL with abilities to ramp up on USQL (programming language for Azure) * Strong technical background with ...

Azure With ADL/ADW/ADF

Redmond, WA

$61.50 - $76.50/hr

Experience building Data warehouses using SQL Server 2012/2016 * Working experience on .Net/SQL with abilities to ramp up on USQL (programming language for Azure) * Strong technical background with ...

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... Azure certifications (Azure Fundamentals, Data Engineer Associate) or working toward them. • Familiarity with data privacy concepts (GDPR, CCPA) and HR data handling considerations. Company

Showing results 41-60

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 Aug 13, 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 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 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 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 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 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 Azure Data Engineer Intern jobs in Seattle, WA?

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

AI Data Engineer

1 point system

Redmond, WA • On-site

$128K - $154K/yr

Contractor

Re-posted 11 days ago


Job description

Requirement - AI Data Engineer

Location- Redmond WA 98052-Hybrid

Contract W2

Top 3 Must-Have Hard Skills

 

1. Reporting & Analytics – 5+ Years

  • Minimum 5 years of experience designing and developing reporting and analytics solutions.
  • Hands-on expertise with Power BI, Data Modeling, and DAX.
  • Experience with Grafana or similar reporting/dashboard platforms.
  • Ability to develop and maintain HTML/web-based reports.

2. Automation, AI & Agentic Solutions – 3+ Years

  • Minimum 3 years of experience in automation and AI-driven engineering solutions.
  • Strong programming skills in Python, C#, and PowerShell.
  • Experience with AI-assisted engineering tools, Copilot/Agentic platforms, and automated report generation.

3. Data Engineering – 5+ Years

  • Minimum 5 years of experience in data engineering and data integration.
  • Strong proficiency in SQL, ETL processes, and data pipeline development.

Typical Day in the Role

  • Purpose of the Team: The purpose of this team is to provide telemetry reporting, analytics, automation, and AI-driven insights that improve visibility into service health, availability, and operational performance through dashboards, reporting solutions, and data engineering capabilities.
  • Key projects: This role will contribute to telemetry and service health initiatives by developing reporting, analytics, and automation solutions. Responsibilities include building Power BI reports and Grafana dashboards, creating Kusto-based analytics, supporting telemetry monitoring, and improving data-driven insights related to availability and operational health.

Candidate Requirements

  • Disqualifiers: Candidates with limited or no experience in reporting and analytics, automation, AI-assisted solutions, data engineering, Power BI, Grafana, or Kusto-based data analysis will not be eligible for the role.
  • Best vs. Average: The ideal resume will contain hands-on experience with telemetry and analytics platforms, including Power BI, Grafana, SQL/Kusto, Python, PowerShell, or C#, along with expertise in data engineering, ETL/data pipelines, automation, and AI-assisted reporting solutions. Experience supporting telemetry health, availability monitoring, operational dashboards, and enterprise-scale reporting environments is highly preferred.

Description

The main function of an AI Data Engineer is to design, develop, enhance, validate, maintain, and support telemetry reporting, data solutions, automation, and AI-assisted solutions. The role develops reports, dashboards, data models, automation, reporting & analytics agent components, and supporting data solutions to improve telemetry coverage, telemetry availability, clean telemetry, and telemetry data quality.

 

Job Responsibilities

  • Design, develop, and maintain telemetry reporting, data solutions, automation, and AI-assisted solutions.
  • Design, develop, and enhance Power BI reports, Grafana dashboards, semantic models, and analytics solutions to deliver actionable business insights.
  • Develop and optimize Azure Data Explorer (Kusto/ADX) queries, functions, data models, scheduled tables, materialized tables, snapshot tables, and supporting datasets.
  • Integrate enterprise data sources and develop supporting SQL queries, ETL processes, and data pipelines required for analytics and reporting solutions.
  • Develop automation solutions using Python, PowerShell, C#, or similar scripting/programming languages to automate operational tasks and support business requirements.
  • Develop AI-enabled reporting and analytics agent components, including Copilot Agents, Agency CLI skills, prompt assets, and supporting knowledge files.
  • Validate data quality, business logic, report accuracy, dashboards, and scheduled refreshes to ensure reliable production solutions.
  • Monitor, troubleshoot, and resolve data pipeline, query, reporting, and production issues to maintain solution reliability and performance.
  • Create and maintain technical documentation, reusable components, and engineering best practices to support long-term solution maintainability.
  • Collaborate with cross-functional engineering teams to deliver scalable, high-quality analytics and reporting solutions.