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Remote Azure Data Factory Jobs in Washington, DC

Remote Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract The Technical ... R Data Warehouse (Azure) and its platforms. This role ensures that data is properly defined ...

Remote Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract The Technical ... R Data Warehouse (Azure) and its platforms. This role ensures that data is properly defined ...

Remote Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract The Technical ... R Data Warehouse (Azure) and its platforms. This role ensures that data is properly defined ...

Remote Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract The Technical ... R Data Warehouse (Azure) and its platforms. This role ensures that data is properly defined ...

Microsoft Azure Engineer

Ashburn, VA · Remote

$85K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote work authorized, with occasional travel to customer facilities/company meetings as required ... Exposure to data platforms in Azure (SQL Database, Cosmos DB, Data Factory) and analytics solutions

Cleared Hybrid Data Engineer (5418)

Hanover, MD · On-site +1

$103K - $171K/yr

  • Medical

  • Retirement

  • PTO

Experience with Azure Data Factory, AWS Glue, or similar data integration platforms. * Experience with workflow management tools like Apache Airflow. * Hands-on experience with AWS, GCP, or Azure ...

Azure Architect

Reston, VA · Remote

$66 - $86/hr

This position is remote within the United States. Please note that ICF monitors employee work ... Create a factory model for modernizing cloud applications that development teams will use * In ...

Remote Pay Rate: Open to both W2 and established 1099 options Position Type: Multiyear Contract ... Azure data platforms, and expertise in metadata management, data quality, lineage, security ...

Microsoft Azure Engineer

Ashburn, VA · Remote

$57 - $76.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Exposure to data platforms in Azure (SQL Database, Cosmos DB, Data Factory) and analytics solutions * Understanding of cloud security frameworks, compliance requirements, and risk management

Data Engineer (Databricks)

Reston, VA · Remote

$119K - $143K/yr

Hands-on experience with Azure services such as Synapse, Data Factory, or Databricks. * Familiarity ... Remote Office (US99)

Senior Data Engineer

Washington, DC · Remote

$120K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES Provide ... Migrate source data identified by SBA OIG into Azure Data Lake Storage. Normalize entity attributes ...

Senior Data Engineer

Washington, DC · On-site +1

$120K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES • Provide ... Synapse and Azure Machine Learning, using both SDK V1 and SDK V2. • Migrate source data ...

Senior Data Engineer

Washington, DC · Remote

$120K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES • Provide ... Synapse and Azure Machine Learning, using both SDK V1 and SDK V2. • Migrate source data ...

Senior Data Engineer

Washington, DC · Remote

$108K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES * Provide ... Migrate source data identified by SBA OIG into Azure Data Lake Storage. * Normalize entity ...

Showing results 21-40

Remote Azure Data Factory information

See Washington, DC salary details

$12

$66

$90

How much do remote azure data factory jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote 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 a remote Azure Data Factory professional?

A Remote Azure Data Factory professional is an IT specialist who designs, builds, and manages data integration solutions using Microsoft Azure Data Factory while working from a remote location. They create and manage data pipelines to move and transform data between various sources and destinations in the cloud. These professionals often collaborate with data engineers, analysts, and business stakeholders to ensure data is accessible, secure, and reliable for analytics and reporting needs.

What are some common challenges faced by remote Azure Data Factory professionals, and how can they be addressed?

Remote Azure Data Factory professionals often encounter challenges related to communication and collaboration, especially when integrating data from multiple sources across different teams. To address this, it's essential to establish clear documentation practices, utilize collaboration tools such as Microsoft Teams, and schedule regular check-ins with stakeholders. Additionally, proactively managing data pipeline failures and ensuring security compliance in a remote setting requires strict adherence to best practices and close coordination with IT and security teams. Building a strong support network and maintaining open lines of communication are key to overcoming these challenges and succeeding in the role.

What are the key skills and qualifications needed to thrive as a remote Azure Data Factory engineer, and why are they important?

To thrive as a Remote Azure Data Factory Engineer, you need strong expertise in data integration, ETL processes, and cloud-based data solutions, typically supported by experience in Microsoft Azure and a relevant technical degree. Proficiency in Azure Data Factory, SQL, Power BI, and familiarity with other Azure services or certifications (such as Azure Data Engineer Associate) is highly beneficial. Excellent problem-solving, communication, and time management skills are crucial for effective remote collaboration and troubleshooting. These competencies ensure efficient data pipeline development, seamless data flow, and the ability to deliver robust analytics solutions in distributed environments.

What is the difference between Remote Azure Data Factory vs Remote Data Engineer?

AspectRemote Azure Data FactoryRemote Data Engineer
CredentialsAzure certifications, data integration skillsData engineering certifications, cloud platform knowledge
Work EnvironmentCloud-based, primarily using Azure platformCloud and on-premises environments, broader tech stack
Industry UsageData integration, ETL workflows in AzureData pipeline development, database management
Search & Comparison IntentFocus on specific tool (Azure Data Factory)Broader data engineering roles

Remote Azure Data Factory specialists focus on designing and managing data workflows within the Azure platform, often requiring specific certifications. Remote Data Engineers have a broader scope, building and maintaining data pipelines across various environments. While both roles involve data integration, Azure Data Factory roles are more tool-specific, whereas Data Engineers encompass a wider range of technologies and responsibilities.

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 Remote Azure Data Factory jobs in Washington, DC?

For Remote Azure Data Factory jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Remote Azure Data Factory jobs in Washington, DC look for?

The top searched job categories for Remote Azure Data Factory jobs in Washington, DC are:

Technical Data Steward

System One

Merrifield, VA • Remote

Contractor

Posted 20 days ago


Job description

Job Title: Technical Data Steward Location: Remote Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract The Technical Data Steward is responsible for the technical data management, governance, integrity and quality of Human Resources data assets for the HR Data Warehouse (Azure) and its platforms. This role ensures that data is properly defined, secured, governed, and usable across systems by partnering with HR business stewards, HR Data Analytics team, engineering teams, and stakeholders. Basic Description Provide technical data stewardship support to the HR Data Analytics team in managing, governing, and optimizing HR data assets. This role ensures data is accurate, secure, and aligned with enterprise data governance standards to support analytics, reporting, and strategic initiatives. Responsibilities 1. Data Governance & Standards • Implement and enforce enterprise data governance policies, standards, and procedures • Ensure execution of governance workstreams, including: o Metadata management o Enterprise quality controls o AI ready metadata o Data quality o Data lifecycle management o Policies and standards compliance • Monitor adherence to technical data standards and drive compliance across the business area 2. Data Management & Technical Oversight • Own technical data decisions on behalf of the Business Data Owner • Provide subject matter expertise on: o Source systems o Data stores and warehouses o ETL processes and pipelines o Business intelligence tools • Ensure proper implementation of data across systems and platforms 3. Metadata, Lineage & Cataloging • Build and maintain a data catalog, including metadata and business glossary • Ensure data definitions, rules, and standards are clearly documented and consistently applied • Capture and maintain data lineage (end-to-end technical flows) 4. Data Quality & Issue Resolution • Drive root cause analysis of data quality issues and coordinate resolution with Enterprise data and HR Analytics teams • Assist in design and implementation data quality audits, controls, and monitoring tools • Plan and lead data cleansing and remediation initiatives 5. Security & Risk Management • Partner with Information Security, HR Data Governance and HR Data teams to implement controls such as: o Role-based access (RBAC) o Persona based access o Row level access o Encryption and data protection standards • Ensure data confidentiality, integrity, and availability across platforms 6. Stakeholder Collaboration • Partner with: o Business Data Stewards o Data Owners o Data Engineering / IT teams • Translate business requirements into technical data solutions • Communicate impacts of data decisions across stakeholder groups Qualifications and Skill Requirements • Ability to work seamlessly and professionally across multiple business units and with all levels of the organization • Oracle HCM / PeopleSoft data experience • Cloud data platforms (Azure Data Lake, Power BI) • Data warehousing concepts (Azure) • Data integration / ETL processes (SQL Server, DataBricks, Azure) • Data quality and data lifecycle management • Enterprise platforms (e.g., data catalogs, BI tools, integration tools) • Data governance frameworks and best practices • Metadata management, lineage, and cataloging • Master data management (MDM) • Experience implementing data governance capabilities across an organization Desired Skills • Strong analytical and problem-solving skills • Ability to translate complex technical concepts for non-technical stakeholders • Attention to detail and commitment to data accuracy • Effective cross-functional communication and collaboration • Oracle HCM / PeopleSoft data experience • Cloud data platforms (Azure Data Lake, Power BI) • Regulatory and HR reporting alignment Ref: #851-Rockville-S1