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Azure Data Engineer Jobs in Redmond, WA (NOW HIRING)

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 ...

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

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 ...

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 ...

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 ...

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 ...

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 ...

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 • ...

Lead Data Engineer - R01568940

Seattle, WA · On-site

$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 · 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 · 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 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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Azure Data Engineer information

See Redmond, WA salary details

$49.8K

$145.3K

$198.8K

How much do azure data engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for azure data engineer in Redmond, WA is $145,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,200.00 and $154,000.00 per year, depending on experience, location, and employer.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

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

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

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

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data infrastructure across industries.

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

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

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

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

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

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

Infographic showing various Azure Data Engineer job openings in Redmond, WA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $145,276 per year, or $69.8 per hour.

Azure Data Engineer

Redmond, WA • On-site

Georgia IT, Inc.
IT Services • 51 - 200 employees

$61.50 - $76.50/hr

Full-time

Re-posted 21 days ago


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

Sourced by ZipRecruiter

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

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