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Azure Data Factory Jobs in Washington, DC (NOW HIRING)

S Linx LLC

Azure Data Consultant

Reston, VA · On-site

Azure Data Warehouse, Azure Logic Apps, Azure Functions, Azure Data Factory, SQL Server Minimum Requirements: · Bachelor's degree in a quantitative or scientific field such as computer science ...

InstantServe LLC

Azure Data Solutions Architect

Washington, DC · On-site

$72 - $92.50/hr

... Azure Data Factory, Databricks, Python, and DAX; and senior level understanding of health care management systems; and working with senior executives. * Technical Expertise: Deep expertise in one or ...

CTC

Azure Database Engineer- 3637535

Rosslyn, VA · Hybrid

Experience with Azure Data Factory and SHIR. * Experience automating database deployments and operational processes. * Experience with Infrastructure as Code (Bicep or Terraform). * Experience with ...

eSolutionsFirst, LLC

Data Engineer

Mclean, VA · On-site

$117K - $141K/yr

Hands-on experience with Azure Data Services including Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure SQL Database, and Azure Synapse Analytics. * Strong experience with Databricks ...

BakerHostetler

Data Solutions Engineer

Washington, DC

$129K - $155K/yr

Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure SQL Database, PostgreSQL, Azure Blob Storage, Azure Data Lake Storage • Azure Synapse Analytics ...

Pipe Recruit

Senior Engineer

Rockville, MD · On-site

$106K - $146K/yr

Responsibilities : • Design, develop, and deploy robust data solutions using: • + Azure Data Lake (Gen1/Gen2) • + Azure Data Factory • + Azure Databricks (including Spark clusters) • ...

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Azure Data Factory information

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$66

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How much do azure data factory jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for azure data factory in Washington, DC is $66.15, according to ZipRecruiter salary data. Most workers in this role earn between $59.90 and $74.33 per hour, depending on experience, location, and employer.

What is an Azure Data Factory?

An Azure Data Factory job refers to a data processing task executed within Azure Data Factory (ADF), a cloud-based data integration service. ADF enables the creation, scheduling, and orchestration of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows. These jobs help in moving and transforming data between various data stores, such as Azure Blob Storage, SQL databases, and on-premises systems. By using pipelines, activities, and triggers, ADF automates data workflows efficiently.

What are the key skills and qualifications needed to thrive in the Azure Data Factory position, and why are they important?

To thrive in an Azure Data Factory role, you need expertise in data integration, ETL processes, and cloud data solutions, typically supported by a background in computer science or information technology. Familiarity with Microsoft Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, effective communication, and problem-solving skills help professionals excel in cross-functional teams. These skills are essential for designing, deploying, and maintaining efficient data workflows that support business analytics and decision-making.

What are some typical challenges faced by professionals working with Azure Data Factory, and how can they be addressed?

One of the main challenges in an Azure Data Factory role is managing complex data pipelines that span multiple data sources and destinations, which requires careful orchestration and monitoring. Troubleshooting data integration issues and ensuring data accuracy can also be demanding, especially when dealing with large volumes of data or evolving business requirements. Successful professionals often address these challenges by staying updated with Azure’s latest features, implementing robust error-handling, and collaborating closely with data architects and business analysts. Joining a supportive team environment and accessing ongoing training can further assist in overcoming common hurdles and advancing in your career.

What are the most commonly searched types of Azure Data Factory jobs in Washington, DC? The most popular types of Azure Data Factory jobs in Washington, DC are:
What are popular job titles related to Azure Data Factory jobs in Washington, DC? For Azure Data Factory jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Azure Data Factory jobs in Washington, DC look for? The top searched job categories for Azure Data Factory jobs in Washington, DC are:
Azure Data Factory jobs near you
Infographic showing various Azure Data Factory job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $137,584 per year, or $66.1 per hour.

Senior Engineer/Senior Azure Data Engineer - Azure Synapse, Databricks & Power BI

MDAEdge

Rockville, MD • On-site

$106K - $146K/yr

Full-time

Re-posted 12 days ago

Job description

Job Summary:
MDAEdge is looking for a highly skilled Azure Data Engineer to design and implement modern data solutions using the Azure cloud ecosystem. The ideal candidate will have deep expertise in Azure Data Lake, Data Factory, Databricks, Synapse Analytics, and Power BI, and will build scalable, secure, and high-performing data platforms that drive analytics and business insights.
Responsibilities:
• Design and develop robust data pipelines using Azure Data Factory and Azure Databricks.
• Work with streaming data processing using Spark clusters in Azure Databricks.
• Manage and utilize Azure Data Lake Gen1/Gen2, Blob containers, and Azure SQL Server for data storage and processing.
• Build and maintain Azure Data Warehouses and deliver scalable solutions using Azure Synapse Analytics.
• Implement secure data access and management using Azure Key Vault and Azure Active Directory.
• Integrate event-driven architecture using ESB, Event Grid, and Azure Functions.
• Work with Cosmos DB for NoSQL database solutions within cloud-native applications.
• Develop and publish interactive dashboards and analytics reports using Power BI.
• Ensure security, compliance, and performance of data infrastructure.
Qualifications:
Required:
• Strong experience with Azure Data Lake Gen1/Gen2
• Strong experience with Azure Data Factory
• Strong experience with Azure Databricks (including Spark clusters)
• Strong experience with Azure Synapse Analytics
• Strong experience with Azure SQL Server, Cosmos DB, Blob Storage
• Strong experience with Azure Key Vault, Azure Active Directory
• Strong experience with Azure Functions, Event Grid, ESB
• Mandatory experience with Power BI for analytics and dashboard creation
Preferred:
• Experience in building end-to-end data pipelines for big data and analytics
• Knowledge of data governance and data security best practices in Azure
• Familiarity with DevOps for Data Engineering and automation of deployments
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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