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Full Time Azure Data Factory Developer Jobs in Seattle, WA

Azure Data Engineer

Seattle, WA ยท On-site

$62.50 - $77.75/hr

Azure Data Factory, Azure Logic App. * Familiar with the Azure ecosystem, with a good understanding ... Knowledge of DevOps practices and tools such as Azure DevOps, Git, and continuous integration ...

Azure Data Engineer

Bellevue, WA ยท On-site

$128K - $154K/yr

They are seeking an Azure Data Engineer to design and implement data loading patterns, Lakehouse ... COSMSO, Kusto, Data Factory (ETL), Synapse Data Engineering (Spark/SQL), Synapse Data Warehousing ...

Azure Data Engineer

Bellevue, WA ยท On-site

$128K - $154K/yr

COSMSO, Kusto, Data Factory (ETL), Synapse Data Engineering (Spark/SQL), Synapse Data Warehousing ... Required : โ€ข 8 - 10 Years of experience โ€ข Strong in Azure Data Services ADF, Azure SQL database ...

Azure

Redmond, WA

$61.50 - $76.50/hr

... Azure Datawarehouse, Azure Data Factory, PowerBI, b) Microsoft SQL Server Ecosystem ... Net/SQL with abilities to ramp up on USQL (programming language for Azure) Strong technical ...

Azure

Redmond, WA

$61.50 - $76.50/hr

Microsoft Cortana Analytics Suite - Azure Data Lake, Azure Datawarehouse, Azure Data Factory ... Net/SQL with abilities to ramp up on USQL (programming language for Azure) * Strong technical ...

Data Engineer

Bellevue, WA ยท On-site

$129K - $155K/yr

Need a Data engineer who has the following skills Its a Individual contributor role ... Design and develop scalable data pipelines using Azure Data Factory ADF to automate the extraction ...

.NET Developer (Azure)

Redmond, WA

$61.50 - $76.50/hr

Azure Data Warehouse, Azure Data Factory * Analytical skills * Experience and desire to work in a ... Note:- * This is a Full-Time Permanent job opportunity for you. * Only US Citizen, Green Card ...

Azure With ADL/ADW/ADF

Redmond, WA

$61.50 - $76.50/hr

Microsoft Cortana Analytics Suite - Azure Data Lake, Azure Datawarehouse, Azure Data Factory ... Net/SQL with abilities to ramp up on USQL (programming language for Azure) * Strong technical ...

Azure With ADL/ADW/ADF

Redmond, WA

$61.50 - $76.50/hr

Microsoft Cortana Analytics Suite - Azure Data Lake, Azure Datawarehouse, Azure Data Factory ... Net/SQL with abilities to ramp up on USQL (programming language for Azure) * Strong technical ...

Azure Developer

Redmond, WA

$61.50 - $76.50/hr

... Azure Data Factory, PowerBI, b) Microsoft SQL Server Ecosystem - Multidimensional cubes, MDX, T-SQL c) Hadoop Ecosystem - HDFS, Spark, MapReduce, Pig, Hive 2. Experience building Data warehouses ...

Jr. Azure Developer

Redmond, WA ยท On-site

$61.50 - $76.50/hr

... Azure Data Factory, PowerBI, b) Microsoft SQL Server Ecosystem - Multidimensional cubes, MDX, T-SQL c) Hadoop Ecosystem - HDFS, Spark, MapReduce, Pig, Hive 2. Experience building Data warehouses ...

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Full Time Azure Data Factory Developer information

See Seattle, WA salary details

$12

$66

$90

How much do full time azure data factory developer jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for full time azure data factory developer in Seattle, WA is $66.46, according to ZipRecruiter salary data. Most workers in this role earn between $60.19 and $74.66 per hour, depending on experience, location, and employer.

What does a Full Time Azure Data Factory Developer do?

A Full Time Azure Data Factory Developer is responsible for designing, developing, and maintaining data integration solutions using Microsoft Azure Data Factory. They build and manage data pipelines to extract, transform, and load (ETL) data from various sources into cloud-based data storage or analytics platforms. Their role involves collaborating with data engineers, analysts, and other stakeholders to ensure efficient and reliable data workflows. They also optimize data processes to enhance performance, troubleshoot issues, and ensure security and compliance standards are met.

What are the key skills and qualifications needed to thrive as a Full Time Azure Data Factory Developer, and why are they important?

To thrive as a Full Time Azure Data Factory Developer, you need expertise in data integration, ETL processes, SQL, and a strong understanding of Azure cloud services, typically supported by a degree in computer science or a related field. Experience with Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with stakeholders and troubleshooting complex data workflows. These competencies ensure secure, efficient, and scalable data solutions that drive business intelligence and analytics initiatives.

What are some common challenges Full Time Azure Data Factory Developers face when integrating data from multiple sources?

Full Time Azure Data Factory Developers often encounter challenges such as handling varying data formats, ensuring data consistency, and managing real-time versus batch data loads when integrating information from multiple sources. Additionally, troubleshooting pipeline failures and optimizing data flows for performance can require strong problem-solving skills. Collaboration with data architects, database administrators, and business analysts is crucial to address these challenges and ensure that data integration processes align with organizational goals.

What is the difference between Full Time Azure Data Factory Developer vs Data Engineer?

AspectFull Time Azure Data Factory DeveloperData Engineer
Primary FocusDesigning, developing, and maintaining data pipelines using Azure Data FactoryBuilding, optimizing, and managing data infrastructure and pipelines across various platforms
Required SkillsAzure Data Factory, SQL, ETL processes, cloud servicesSQL, Python, Spark, cloud platforms, data modeling
CertificationsAzure Data Engineer Associate, Azure certificationsGoogle Cloud, AWS, or Azure certifications, depending on platform
Work EnvironmentCloud-based data projects within organizations using AzureBroader data infrastructure projects across multiple platforms

While both roles involve data pipeline development, the Full Time Azure Data Factory Developer specializes in Azure Data Factory and cloud-based ETL processes, whereas the Data Engineer has a broader scope, working with various tools and platforms to build comprehensive data solutions.

What are the most commonly searched types of Azure Data Factory Developer jobs in Seattle, WA? The most popular types of Azure Data Factory Developer jobs in Seattle, WA are:
What are popular job titles related to Full Time Azure Data Factory Developer jobs in Seattle, WA? For Full Time Azure Data Factory Developer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Full Time Azure Data Factory Developer jobs in Seattle, WA look for? The top searched job categories for Full Time Azure Data Factory Developer jobs in Seattle, WA are:

$62.50 - $77.75/hr

Full-time

This job post hasย expired today.ย 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.