ZipRecruiter

Log In

1

Azure Data Factory Jobs in Washington (NOW HIRING)

Cognizant

Azure Data Architect

Washington, DC · On-site

$71.75 - $93.25/hr

Responsibilities : • Design, develop, and maintain core data architecture frameworks leveraging Azure Data Factory, Azure Data Lake, and Databricks • Define and communicate technical architecture ...

Cognizant

Azure Data Architect

Washington, DC · On-site

$71.75 - $93.25/hr

Responsibilities : • Design, develop, and maintain core data architecture frameworks leveraging Azure Data Factory, Azure Data Lake, and Databricks • Define and communicate technical architecture ...

CACI International, Inc.

Sr. Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Develop and maintain data pipelines using Azure Data Factory and other relevant Azure technologies. * Manage and optimize databases, ensuring data quality, integrity, and security. * Automate manual ...

TALENT ANYTIME

Data Scientist

Arlington, VA · On-site

Experience with Azure infrastructure especially Azure Data Lake and Azure Data Factory. * Experience using Databricks for machine learning algorithm development * Experience in coding languages ...

New

Plateau Software Inc

Azure Databricks Engineer

Fairfax, VA · On-site

$96K - $132K/yr

Integrate data from multiple sources using Azure Data Factory, Azure Data Lake Storage, and Azure Synapse Analytics. Data Architecture & Optimization * Architect and optimize data lakehouse solutions ...

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 ...

Plateau Software Inc

Azure Data Engineer

Fairfax, VA · On-site

$113K - $136K/yr

Azure Data Factory, Synapse Analytics, Databricks, Data Lake, and Power BI * SQL and NoSQL database technologies * Serverless, container-based, and event-driven architectures * Big Data and Advanced ...

Venture Global LNG

Data Engineer

Arlington, VA

$131K - $158K/yr

Perform data integration at scale with Azure Data Factory. * Utilize Databricks to transform, curate, and organize data for use with business intelligence reporting and data analytics. * Work with BI ...

NuAxis Innovations LLC

Senior Data Architect

Washington, DC · On-site

$76.25 - $102/hr

Experience with Azure Data Factory, dbt, or Python. * Familiarity with CI/CD and DevOps practices. * Relevant cloud or BI certifications are a plus. Technologies * Snowflake * Azure Data Services

Group Nine LLC

Data Scientist

Arlington, VA · On-site

... Azure Data Factory. • Experience using Databricks for machine learning algorithm development. • Experience in coding languages primarily PySpark, Python, and SQL. Company : Group Nine LLC ...

next page

Showing results 1-20

All JobsAzure Data Factory JobsAzure Data Factory Jobs in Washington

Azure Data Factory information

See Washington salary details

$12

$66

$90

How much do azure data factory jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for azure data factory in Washington 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 job?

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.

Is ADF better than SSIS?

Azure Data Factory (ADF) and SQL Server Integration Services (SSIS) are both data integration tools, but ADF is a cloud-based service optimized for large-scale, cloud-native data workflows, while SSIS is an on-premises tool suited for traditional ETL processes. For jobs involving cloud data movement, ADF offers better scalability and integration with Azure services, whereas SSIS is preferred for on-premises environments and complex transformations requiring local resources.

Is Azure Data Factory in demand?

Azure Data Factory is a widely used cloud-based data integration service, and professionals with skills in this tool are in high demand due to the increasing adoption of cloud data solutions. Knowledge of data pipelines, ETL processes, and related Azure services enhances job prospects in data engineering and analytics roles.

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.

Is ADF difficult to learn?

Azure Data Factory (ADF) is a data integration service that requires understanding of data workflows, pipelines, and cloud-based tools. While it has a learning curve for beginners, familiarity with SQL, data transformation concepts, and cloud environments can help accelerate the learning process. Many users find that hands-on practice and official documentation make mastering ADF achievable within a reasonable timeframe.

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 can you do with Azure Data Factory?

Azure Data Factory is a cloud-based data integration service that allows data engineers and analysts to create, schedule, and manage data pipelines for moving and transforming data across various sources and destinations. It supports data ingestion, data transformation using mapping and data flow activities, and orchestration of complex workflows, enabling efficient data processing and analytics. Knowledge of data integration, ETL processes, and familiarity with Azure environment are important for working with Azure Data Factory.
What are popular job titles related to Azure Data Factory jobs in Washington? For Azure Data Factory jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Azure Data Factory jobs in Washington look for? The top searched job categories for Azure Data Factory jobs in Washington are:
Azure Data Factory jobs near you
Azure Data Architect

Azure Data Architect

Cognizant

Washington, DC • On-site

$71.75 - $93.25/hr

Full-time

Posted 3 days ago

Cognizant rating

7.5

Company rating: 7.5 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants

Job description

Job Summary:
Cognizant is seeking an experienced Data Architect with expertise in Azure Data Platform and Databricks to design and deliver scalable data solutions. The role involves defining enterprise-grade data architectures, guiding engineering teams, and supporting business-critical data initiatives.
Responsibilities:
• Design, develop, and maintain core data architecture frameworks leveraging Azure Data Factory, Azure Data Lake, and Databricks
• Define and communicate technical architecture decisions, including constraints, trade-offs, and design standards
• Design scalable, flexible, and reusable data solutions aligned with enterprise strategy
• Provide guidance on deployment strategies, ensuring solutions are safe, incremental, and reversible
• Lead the development of standard methodologies, frameworks, and reusable components
• Collaborate with technical leads, project managers, and data engineers to review and validate solution designs
• Establish and enforce data engineering best practices, governance, and coding standards
• Evaluate and recommend emerging technologies to improve data platform efficiency and scalability
• Proactively identify and mitigate technical risks and challenges, ensuring timely resolution
• Stay current with evolving trends in data platforms, cloud technologies, and data engineering practices
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Engineering, or Information Systems
• 8+ years of experience designing and implementing enterprise data solutions
• Proven experience as a Data Architect within the Microsoft Azure ecosystem
• Strong hands-on experience with Azure Data Factory (ADF)
• Strong hands-on experience with Azure Synapse Analytics
• Strong hands-on experience with Azure Databricks
• Strong hands-on experience with Azure SQL Database
• Strong hands-on experience with Azure Functions & Logic Apps
• Expertise in data warehousing and modeling techniques: Dimensional modeling, Star schema, Data Vault, Medallion architecture
• Experience with modern data platforms and tools: Databricks, Spark, Snowflake, Kafka, Hadoop, or Dremio
• Advanced proficiency in SQL and relational databases (SQL Server, Oracle, PostgreSQL)
• Advanced proficiency in Python and Spark-based data processing
• Deep knowledge of ETL/ELT frameworks, including batch and real-time data processing
• Experience designing data solutions for API, .NET, and analytics consumption (e.g., Power BI)
• Familiarity with Azure DevOps
• Familiarity with ARM templates
• Familiarity with Automation tools (PowerShell, Azure Automation, AZ Copy)
Preferred:
• Strong experience creating architecture artifacts and high-level data models
• Ability to lead technical discussions and influence stakeholders across varying perspectives
• Demonstrated ability to drive alignment and deliver results in complex environments
• Excellent organizational, communication, and stakeholder management skills
Company:
Cognizant is a professional services company that helps clients alter their business, operating, and technology models for the digital era. Founded in 1994, the company is headquartered in Teaneck, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Cognizant employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply