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Azure Data Factory Jobs in Washington (NOW HIRING)

Data Architect

Laurel, MD · On-site

$65.25 - $84/hr

Strong experience with Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, and Power BI. * Experience designing enterprise conceptual, logical, and physical data models. * Strong knowledge ...

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 ...

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 ...

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

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

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

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

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Azure Data Factory information

See Washington salary details

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$66

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How much do azure data factory jobs pay per hour?

As of Jul 14, 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 highly in-demand data integration tool used by organizations to automate data workflows and manage data pipelines in cloud environments. Professionals with skills in Azure Data Factory, along with knowledge of cloud platforms and data engineering, are sought after as companies increasingly adopt cloud-based data solutions.

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 with hands-on practice and official documentation, mastering ADF is achievable.

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 is the salary in Azure Data Factory?

The salary for an Azure Data Factory professional varies based on experience, location, and role level, but typically ranges from $80,000 to $130,000 annually. Skilled professionals with certifications in Azure and data integration tools tend to earn higher salaries in this field.
Infographic showing various Azure Data Factory job openings in Washington as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $137,584 per year, or $66.1 per hour.

Senior Data Engineer (Azure/Dynamics 365)

AHU Technologies, Inc.

Washington, DC • On-site

$60 - $67/hr

Full-time

Posted yesterday


Job description

Short Description:
Client is look for a resource to provide high-level data engineering administration expertise to support Dynamics 365/Azure data services, including Dataverse management, Azure Data Factory management, Synapse Analytics/SQL management, Power BI workspace.
Complete Description:
Client is seeking a Senior Data Engineering for managing and optimizing data services across Azure/Dynamics 365 and legacy Oracle Database environments. This role oversees Microsoft Dataverse, Azure Data Factory, Synapse Analytics, Power BI workspaces, and Oracle databases to ensure secure, compliant, and high-performance data operations. This position requires deep expertise in advanced SQL, database management, and database replication, including Health and human services data model experience. The candidate is responsible for design, build, and maintenance of scalable data pipelines, enforces privacy standards, and supports analytics teams with reliable, integrated data sets. The position involves cross-functional collaboration, architectural knowledge, and supporting program staff through data requests.
Responsibilities:
  • Provide Dataverse data management support to include schema integrity, TDS Endpoint configuration, Data extraction, query development, and data backup/restore operations
  • Design, monitor, and troubleshoot scalable data pipelines in Azure Data Factory, with focus on secure ingestion, transformation, and orchestration, including monitoring and troubleshooting pipeline health and performance
  • Manage Synapse workspaces (including Dataverse Link) and dedicated SQL pools/Managed SQL /Serverless SQLs, implementing advanced query optimization to support high-volume analytics and reporting workloads
  • Setup and maintain Power BI workspaces, datasets, and gateways, enforcing data security permissions including row-level security
  • Develop Power BI Dashboards leveraging database datasets, including log files, to determine system usage
  • Develop and refine complex SQL queries to support operational and performance reporting, including audit system log analysis
  • Build and maintain reusable Python scripts for parsing datasets, data cleansing, enrichment, and automation, involving structured and un-structured data
  • Develop and maintain data security for datasets across Azure data services platform
  • Provide data model and schema/table relationship diagram to support integrations and data exchange
  • Develop and maintain data replication tools to sync Dynamics data to Synapse Analytics, including managed SQL/Dedicated SQL pool, Serverless pool destination, and API-enabled data endpoints
  • Manage Legacy Oracle database, including data integrity, backup, and availability management
  • Collaborate with business stakeholders to understand data requirements, mapping, and transformation needs, ensuring alignment with the client information system's objectives.
  • Lead and coordinate Data Analysts and Reports Engineering Team activities, working closely with the system to ensure timely and accurate execution of data-dependent tasks, including Daily, Monthly, Weekly, Fiscal Year and Compliance reporting
  • Perform data profiling and analysis to identify data quality issues, data gaps, and potential risks for mitigation
  • Define and enforce data migration standards, best practices, and governance policies to maintain data integrity and consistency.
  • Create and maintain technical artifacts for data services implementation, including replication plans, data, data architecture, rules, and error reports.
  • Conduct training sessions and provide guidance to business staff and Functional Quality Assurance staff on data services and provide data extraction support
  • Stay current with industry trends and advancements in data management methodologies and tools, recommending improvements to enhance the overall data governance.

Skills:
• Bachelor's degree in computer science, IT or related field or equivalent experience.
• Oracle Database management and administration experiences.
• Advanced SQL Query Development.
• Database security administration, including row-level security.
• Database Replication expertise, including replication schedule, rules for automatic detection of schema and table changes and validation rep results.
• Health and Human Services Data model experience.
• Project management skills with the ability to prioritize tasks and meet deadlines, including documentation of technical artifacts.
• Produce Data Model and Schema/Table link Diagram.
• Azure Data services management including Data factory, Synapse Analytics.
• Power BI Workspace Administration and Dashboard Development.
• Microsoft Azure Data Fundamentals certification.
• Microsoft Certified Azure Administrator certification.
• Python scripting knowledge.
Flexible work from home options available.
Compensation: $60.00 - $67.00 per hour
About Us
AHU Technologies INCis an IT consulting and permanent staffing firm that meets and exceeds the evolving IT service needs of leading corporations within the United States. We have been providing IT solutions to customers from different industry sectors, helping them control costs and release internal resources to focus on strategic issues.
AHU Technologies INC was co-founded by visionary young techno-commercial entrepreneurs who remain as our principal consultants. Maintaining working relationships with a cadre of other highly skilled independent consultants, we have a growing number of resources available for development projects. We are currently working on Various projects such as media entertainment, ERP Solutions, data warehousing, Web Applications, Telecommunications and medical to our clients all over the world.