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Azure Data Factory Jobs in Washington (NOW HIRING)

Venture Global, Inc.

Data Engineer

Arlington, VA · On-site

$150K - $155K/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 ...

CTC

Azure Database Engineer- 3637535

Rosslyn, VA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 · On-site

$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 ...

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) • ...

DLA Piper

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 ...

Dlapiper

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 ...

Accenture Federal Services

Data Engineer

Washington, DC

$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 ...

Dlapiper

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 ...

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Showing results 21-40

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 Aug 13, 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?

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 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
Infographic showing various Azure Data Factory job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $137,584 per year, or $66.1 per hour.

Data Engineer

Venture Global, Inc.

Arlington, VA • On-site

$150K - $155K/yr

Full-time

Posted 7 days ago

Job description

Venture Global LNG ("Venture Global") is a long-term, low-cost provider of American-produced liquefied natural gas. The company's Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global's modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost.
We are seeking qualified applicants for the position:
Data Engineer
Located:
Arlington
Summary
The Data Engineer is responsible for developing, designing, and maintaining data platform solutions. The measures of an ideal candidate include communication skills, technical proficiency, collaboration, and willingness to learn new things. This new position will be based in our Arlington, VA headquarters and report to the Director of Business Intelligence. This position is structured within IT under the Vice President of Applications.
The position will be located in Arlington, VA.
General Description Duties & Responsibilities
  • Build complex data solutions in an Azure Cloud environment.
  • Maintain the Azure components and services.
  • Develop architecture changes using infrastructure as code.
  • Create data architectures diagrams for complex data modeling solutions.
  • Create and maintain data dictionaries for contextualizing data from disparate sources.
  • Enable end-to-end automation for deployment using continuous integration and continuous delivery.
  • Implement data pipelines to ingest data to the platform, standardize the data, and transform the data into business facing datasets.
  • Perform unit and integration testing of data pipelines.
  • 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 developers and business SMEs to translate business requirements into curated datasets suitable for analytics solutions.
  • Document data pipelines for maintainability.
  • Work with source system owners and business owners to incorporate business changes into data pipelines.
  • Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization.
  • Assist in testing, governance, data quality, training, and documentation efforts.
  • Actively engage in business stakeholder requirement workshops to understand, interpret, and translate requirements into effective technical solutions.

Qualifications
Required experience
  • Bachelor's degree in Computer Science, Data Analytics, Engineering, Mathematics, Business, or related field of study.
  • 2+ years in cloud architecture and data engineering
  • Extensive experience in implementing data storage solutions, managing, and developing data processing, and optimizing data solutions (Azure)
  • Expertise in integrating, transforming, and consolidating data from structured and unstructured data systems suitable for analytics solutions.
  • Understanding of parallel processing and data architecture patterns.
  • Knowledgeable in data processing languages such as SQL, Python, or Spark.
  • Experience in building secure data processing pipelines using Azure data services.
  • Ability to self-manage and make your own decisions.
  • Excellent interpersonal and communications skills, with strong critical thinking and attention to detail.
  • Strong work ethic with ability to effectively prioritize, meet deadlines, adapt to changing priorities and business needs, and succeed in a fast-paced environment.
  • Excellent attention to detail and the ability to efficiently summarize and prioritize information.

Preferred Experience
  • Proficient in Microsoft Azure Storage Explorer, Azure DevOps, Azure Data Factory, Azure Databricks, Azure Data Lake Gen 2, Azure DevOps, Unity Catalog and Git
  • Experience in coding languages primarily Python and Spark. Experience in agile development and sprint planning. Strong technical writing skills.

Salary Range
$150,000 - $155,000
Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.

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