1

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

Data Solutions Engineer

Washington, DC

$129K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

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) • ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory) * Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake) * Experience with Python, SQL, Spark, and ...

Lead Data Test Engineer

Chantilly, VA · On-site

$118K - $142K/yr

... Azure Data Factory, or AWS Glue. • Collaborate with data engineers, developers, and BI/reporting teams to resolve data discrepancies and ensure end-to-end accuracy. • Design and execute data ...

Data Assurance & Validation Manager

Chantilly, VA · On-site

$118K - $142K/yr

... Azure Data Factory, or AWS Glue. • Collaborate with data engineers, developers, and BI/reporting teams to resolve data discrepancies and ensure end-to-end accuracy. • Design and execute data ...

Senior Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Design, build, and operate Azure Lakehouse architectures using Azure Databricks, Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, and Azure Data Factory to support analytical and ...

Senior Data Engineer

Mclean, VA

$107K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Design, build, and operate Azure Lakehouse architectures using Azure Databricks, Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, and Azure Data Factory to support analytical and ...

Senior Data Engineer

Mclean, VA · On-site

$108K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Design, build, and operate Azure Lakehouse architectures using Azure Databricks, Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, and Azure Data Factory to support analytical and ...

Showing results 21-40

Azure Data Factory information

See Washington, DC salary details

$12

$66

$90

How much do azure data factory jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for azure data factory in Washington, DC is $66.12, according to ZipRecruiter salary data. Most workers in this role earn between $59.86 and $74.28 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 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 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 Azure Data Factory being phased out?

Azure Data Factory remains a core cloud data integration service within Microsoft Azure and is actively supported and developed. There are no indications that it will be phased out in the near future, and it continues to be widely used by data engineers and analysts for building data pipelines and workflows. Staying updated with Azure's product roadmap and certifications can help ensure skills remain relevant.

Is Azure Data Factory in demand?

Azure Data Factory is a widely used cloud-based data integration service, and professionals skilled in it are in high demand due to the increasing adoption of cloud data solutions. Knowledge of data pipelines, ETL processes, and related tools like Azure Synapse Analytics can enhance job prospects in data engineering and analytics roles.

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, often integrating with other Azure services. Proficiency in data pipeline design, ETL processes, and familiarity with Azure environments are essential for roles involving Azure Data Factory.

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:

Infographic showing various Azure Data Factory job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $137,533 per year, or $66.1 per hour.

Data Solutions Engineer

BakerHostetler

Washington, DC

$129K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 20 days ago


Job description

Join our team as a Data Solutions Engineer, where you will play a key role in designing and developing enterprise data solutions. This role works across the data lifecycle, including data analysis, data modeling, data architecture, data engineering, and data integration.


You will work closely with cross-functional teams to understand data needs and develop practical, scalable data solutions. Your work will support and enhance our enterprise data strategy, including master data management, by centralizing transformations and creating consistent, trusted data across the organization.


RESPONSIBILITIES:
• Develop and implement data processing workflows and pipelines to support solutions development and business intelligence needs.
• Design and develop scalable and effective data solutions to support the flow and integration of data across systems.
• Use big data technologies like Azure Data Lake, Synapse Analytics, and Data Factory to handle and analyze large volumes of data.
• Develop and maintain data storage solutions, including Azure SQL Database, PostgreSQL, Azure Data Lake, and Azure Blob Storage.
• Support the Enterprise Data Model by managing the medallion architecture layers in the data lake.
• Support master data management, data modeling, and architecture by centralizing transformations and business rules to create consistent, trusted enterprise data.
• Implement data validation and cleansing procedures to ensure the highest level of data quality and integrity.
• Use Microsoft Fabric to support data engineering, analytics, and business intelligence solutions.
• Use Microsoft Power Platform and Logic Apps to support data integration, automation, and application development needs.


REQUIRED TECHNICAL SKILLS:
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, Azure Databricks, Apache Spark, Apache Airflow
• Azure Logic Apps, Azure DevOps, Power Automate, REST API
• Familiarity with Azure OpenAI and Document Intelligence for turning unstructured content into usable data.
• Data analysis, data modeling, data architecture, and master data management
• Medallion architecture design patterns using Delta Lake (bronze, silver, gold layers)
• Microsoft Fabric, including Lakehouse, Data Engineering, and Real-Time Analytics
• Microsoft Power Platform (Power Apps, Power Automate, Power BI) for low-code data integration and automation
• Version control and CI/CD practices for data workflows using Azure DevOps and Git

REQUIRED EDUCATION AND EXPERIENCE:
1. Bachelor’s degree in Computer Science, Information Technology, or a related field.
2. 5 years of hands-on experience developing data and software solutions.


REQUIRED INTERPERSONAL AND COMMUNICATION SKILLS:
1. Maintain effective relationships with clients and internal customers (Attorneys, Litigation Support, IP Services, and other support staff).
2. Ability to lead and build consensus among peers and staff.
3. Understanding and ability to follow project management methodologies.
4. Accurately manage and report time worked on projects.
5. Ability to prioritize and manage tasks effectively.
6. Ability to work in a fast-paced, flexible environment.
7. Ability to effectively communicate technical concepts with an audience.
8. Must be able to perform essential duties of the position with time constraints, interruptions, and under stress.


OTHER DESIRED TRAITS:
1. Demonstrates attention to detail with a professional, efficient, and business-like manner. Proactive and showing initiative, flexible, and willing to take on new and challenging tasks.


TRAVEL REQUIREMENT:
Minimal

How to Apply:

Interested individuals should apply directly via our job posting.

About Us:

BakerHostetler is recognized as one of the leading law firms in the country. With more than 1,000 attorneys located in 18 offices from coast to coast, BakerHostetler is a great place to work for those who seek professional and personal growth in a collaborative environment. We deliver the highest quality counsel to our clients, who include many of the nation’s largest and most well-known companies. BakerHostetler’s values have remained unchanged since our founding more than 100 years ago: dedication to the law, commitment to the highest standard of client service, continuous development of our people and active participation in the communities in which we work and live.

BakerHostetler offers a comprehensive and competitive benefit program.  Specific information is provided during the interview process.

  • Competitive Salaries
  • Performance Bonus Program
  • Generous Time Off
  • Generous Retirement Program including 401(k) Plan
  • Group Health, Dental and Vision Insurance
  • BHealthy Wellness Program
  • Life Insurance
  • Voluntary Accident Insurance – Self and Family
  • Short and Long-Term Disability
  • Pre-Tax Benefit Programs

Please visit www.bakerlaw.com for more information about our Firm.

Baker & Hostetler LLP is an Equal Opportunity Employer.

The expected annual salary for this position ranges from the below. The salary offered will be determined by a wide range of factors including but not limited to experience level, education/training, and relevant skills.

Ohio, Georgia, Texas, Florida, Colorado - $120,000-155,000/year

California, Pennsylvania, Illinois, Washington D.C., Washington- $130,000-165,000/year

#LI-JH1