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Remote Azure Data Factory Jobs in Washington, DC

Sparibis

Azure Data Architect

Washington, DC · On-site +1

$72.25 - $92.75/hr

Location: 100% Remote. This is a United States based position, and candidates must reside in the ... Experience with cloud computing platforms (e.g., Azure, Data Lake, Synapse Analytics, Machine ...

Ex Parte, Inc

Senior Data Scientist

Bethesda, MD · On-site +1

Understanding of Cloud-centric data processing and visualization approaches including SQL and NoSQL databases with exposure to Azure SQL, Azure Cosmos DB, Data Factory, Synapse, Azure Data Lake, etc

Ex Parte, Inc

Data QA Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

Understanding of Cloud-centric data processing and visualization approaches including SQL and NoSQL databases with exposure to Azure SQL, Azure Cosmos DB, Data Factory, Synapse, Azure Data Lake, etc

Connsci

Sr. Data Engineer

Gaithersburg, MD · Remote

$135K - $175K/yr

Key ResponsibilitiesDesign and maintain secure data ingestion pipelines using Azure Data Factory, API Management, and SFTPDevelopment and implementation of the data anomaly detection system, which ...

New

Civica

Senior Implementation Consultant

Washington, DC · Remote

$100K - $120K/yr

This role is fully remote within the United States, with occasional domestic and international ... as Azure Data Factory and SSIS Lead architectural design and contribute to solution strategy for ...

Connsci

Sr. Data Engineer

Gaithersburg, MD · Remote

$123K - $148K/yr

Design and maintain secure data ingestion pipelines using Azure Data Factory, API Management, and SFTP * Development and implementation of the data anomaly detection system, which will be hosted on ...

New

Civica

Senior Implementation Consultant

Washington, DC · Remote

$100K - $120K/yr

This role is fully remote within the United States, with occasional domestic and international ... Deliver high-quality, tested integrations using tools such as Azure Data Factory and SSIS * Lead ...

A-TEK Inc.

Health IT Data Engineer

Alexandria, VA · Remote

$125K - $135K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Azure Data Factory, Synapse, Databricks, or Microsoft Fabric experience. * Power BI and Tableau ...

Actif.ai

Senior Data Engineer

Washington, DC · Remote

$108K - $147K/yr

Apache Airflow, Azure Data Factory * Storage: Google Cloud Storage, Azure Blob Storage * OLTP: Postgres, Microsoft SQL Server * Warehouses: BigQuery, Microsoft Fabric * Proven ability in writing ...

Actifai

Senior Data Engineer

Washington, DC · On-site +1

$120K - $163K/yr

Apache Airflow, Azure Data Factory * Storage: Google Cloud Storage, Azure Blob Storage * OLTP: Postgres, Microsoft SQL Server * Warehouses: BigQuery, Microsoft Fabric * Proven ability in writing ...

Fairfax County

Data Analyst III

Fairfax, VA · On-site +1

$88K - $155K/yr

Facilitates data sharing with remote systems and agency transactional systems. Plans, evaluates ... Azure Data Factory, FME Form) and big data frameworks (e.g., Spark, Hadoop) to transport raw data ...

System One

Technical Data Steward

Merrifield, VA · Remote

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 ...

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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 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 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 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 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 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:

Remote Azure Data Factory jobs near you

SR Azure Data Factory- Remote

Cognizant Technology Solutions

Washington, DC • On-site, Remote

$72 - $93.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants

Job description

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.
This role does not support visa-dependent candidates, either now or in the foreseeable future.
Full time
Hybrid
Washington, DC
Azure Data Engineer / Azure Data Architect
Job Description
Location: Hybrid / Remote
Experience: 8+ Years
Employment Type: Full-Time
Position Overview
We are seeking an experienced Azure Data Engineer / Data Architect with strong expertise in designing, building, and optimizing enterprise-scale data platforms within the Microsoft Azure ecosystem. The ideal candidate will have extensive hands-on experience with Azure Databricks, Azure Data Factory, Azure Data Lake, SQL, Data Warehousing, and Modern Data Architecture patterns.
This role requires a combination of deep technical expertise, architectural leadership, and hands-on development capabilities to design scalable, governed, and high-performing data solutions supporting analytics, reporting, AI/ML, and business operations.
Key Responsibilities
Data Architecture & Platform Design
  • Design and develop scalable, secure, and reusable enterprise data architectures using Azure cloud technologies.
  • Define technical architecture standards, design patterns, and best practices for enterprise data platforms.
  • Build scalable Lakehouse architectures utilizing Azure Data Lake Storage and Azure Databricks.
  • Design and implement Medallion Architecture (Bronze, Silver, Gold Layers) for modern analytics platforms.
  • Create high-level solution designs, data models, architecture diagrams, and technical documentation.
  • Lead architecture reviews and provide technical governance across multiple projects.

Azure Databricks Development (Must Have)
Architecture & Administration
  • Design and manage Azure Databricks environments, clusters, compute resources, and workspaces.
  • Develop and maintain enterprise-scale Lakehouse solutions.
  • Implement Delta Lake architecture and optimize Delta Table performance.
  • Utilize Databricks Unity Catalog for enterprise-wide data governance and metadata management.
  • Configure and manage security, access controls, and data lineage capabilities.

Data Engineering
  • Develop PySpark-based ETL/ELT pipelines for large-scale structured and semi-structured datasets.
  • Read, transform, validate, and write data using Spark DataFrames and Delta Tables.
  • Implement data quality, audit, and reconciliation frameworks using SQL and PySpark.
  • Apply Databricks performance tuning and optimization techniques including:
    • Partitioning
    • Z-Ordering
    • Data Skipping
    • Caching
    • Auto Optimize
    • VACUUM & OPTIMIZE commands

Emerging Technologies
  • Stay current with Databricks innovations including:
    • Lakehouse Architecture
    • Lakeflow
    • Delta Live Tables
    • Unity Catalog
    • Databricks Genie
  • Exposure to AI/ML workloads and LLM-based implementations within Databricks environments is highly desirable.

Azure Data Factory (ADF)
  • Design and implement enterprise-grade ADF pipelines and orchestration frameworks.
  • Develop dynamic and metadata-driven data ingestion pipelines.
  • Build solutions to migrate data from on-premise applications and databases to Azure platforms.
  • Implement failure handling, monitoring, alerting, and notification frameworks.
  • Create parameterized reusable pipeline templates.
  • Develop scheduling, dependency management, and workflow orchestration mechanisms.
  • Implement Slowly Changing Dimension (SCD) Type 2 solutions using ADF, SQL, and Azure Databricks.

SQL & Data Processing
  • Design and optimize complex SQL solutions supporting enterprise reporting and analytics.
  • Utilize advanced SQL analytical functions and windowing functions.
  • Implement and optimize joins, aggregations, subqueries, Common Table Expressions (CTEs), and Self Joins.
  • Perform SQL performance tuning, indexing, query optimization, and execution plan analysis.
  • Develop reusable stored procedures, views, and database objects supporting enterprise applications.

Data Warehousing & Modeling
  • Design enterprise data warehouse solutions using industry-standard modeling techniques.
  • Develop:
    • Fact Tables
    • Dimension Tables
    • Slowly Changing Dimensions (Type 1, 2, and 3)
    • Aggregate Structures
  • Implement and maintain:
    • Star Schema
    • Snowflake Schema
    • Data Vault Models
    • Dimensional Models
  • Understand and apply normalization and denormalization strategies for OLTP and OLAP environments.

Governance & Best Practices
  • Establish and enforce enterprise data engineering standards and best practices.
  • Define governance models for data quality, metadata, lineage, and security.
  • Implement monitoring, auditing, and operational controls across the data platform.
  • Collaborate with security and governance teams to ensure compliance with enterprise standards.
  • Drive adoption of automated testing, CI/CD pipelines, and release automation for data platforms.

Stakeholder Engagement
  • Collaborate with business stakeholders, enterprise architects, project managers, and development teams.
  • Provide architecture guidance, technical leadership, and solution recommendations.
  • Evaluate emerging technologies and provide strategic recommendations for platform modernization.
  • Lead technical workshops, architecture reviews, and design discussions.

Required Qualifications
Education
  • Bachelor's or Master's Degree in:
    • Computer Science
    • Information Systems
    • Engineering
    • Related Technical Discipline

Experience
  • 8+ years of experience in Data Engineering, Data Architecture, or Enterprise Data Warehousing.
  • Proven experience designing and implementing Azure-based enterprise data platforms.
  • Strong understanding of large-scale data processing and cloud-native architectures.

Required Technical Skills
Azure Technologies
  • Azure Databricks
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage Gen2 (ADLS)
  • Azure Synapse Analytics
  • Azure SQL Database
  • Azure Functions
  • Azure Logic Apps

Data Engineering
  • PySpark
  • Spark SQL
  • Delta Lake
  • Unity Catalog
  • Delta Live Tables
  • ETL/ELT Design Patterns
  • Data Quality Frameworks

Database Technologies
  • SQL Server
  • Oracle
  • PostgreSQL

Programming
  • Python
  • SQL
  • PySpark

Data Warehousing
  • Dimensional Modeling
  • Star Schema
  • Snowflake Schema
  • Data Vault
  • Medallion Architecture
  • SCD Type 1/2/3

DevOps & Automation
  • Azure DevOps
  • CI/CD Pipelines
  • ARM Templates
  • PowerShell
  • Azure Automation
  • AZ Copy

Application Accepted: 8/20/2026
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable la
Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.
If you are content with ambiguity, excited by change, and excel through autonomy, we'd love to hear from you!
#LI-AV1#CB#Ind123
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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