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Azure Data Engineer Jobs in Reston, VA (NOW HIRING)

Cognizant

Azure Data Architect

Washington, DC · On-site

$71.75 - $93.25/hr

They are seeking an experienced Data Architect with expertise in Azure Data Platform and Databricks to design and deliver scalable data solutions, guide engineering teams, and ensure high-quality ...

eSolutionsFirst, LLC

Data Engineer

Mclean, VA · On-site

$117K - $141K/yr

We are seeking a skilled Data Engineer with 5 7 years of experience to design, build, and maintain ... The ideal candidate will have strong expertise in SQL, Azure Data Services, and Databricks, with ...

Accenture Federal Services

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory) * Experience with Cloud data warehousing ... Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi

Cloudforce

Cloud Engineer - Data

National Harbor, MD · On-site

$100K - $140K/yr

Job Title: Cloud Solutions Engineer - Data (Azure/Fabric) Location: National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 Annually, subject to experience - plus a ...

Cloudforce

Cloud Engineer - Data

National Harbor, MD

$100K - $140K/yr

Job Title: Cloud Solutions Engineer - Data (Azure/Fabric) Location: National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 Annually, subject to experience - plus a ...

Cloudforce

Cloud Engineer - Data

National Harbor, MD · On-site

$100K - $140K/yr

Job Title: Cloud Solutions Engineer - Data (Azure/Fabric) Location: National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 Annually, subject to experience - plus a ...

DLA Piper

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Dlapiper

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Dlapiper

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

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All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Reston, VA

Azure Data Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

How much do azure data engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for azure data engineer in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

What is the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer, and why are they important?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What are Azure Data Engineers?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.
What are the most commonly searched types of Azure Data Engineer jobs in Reston, VA? The most popular types of Azure Data Engineer jobs in Reston, VA are:
What are popular job titles related to Azure Data Engineer jobs in Reston, VA? For Azure Data Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Azure Data Engineer jobs in Reston, VA look for? The top searched job categories for Azure Data Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Azure Data Engineer jobs? Cities near Reston, VA with the most Azure Data Engineer job openings:
Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Reston, VA as of July 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $134,951 per year, or $64.9 per hour.
Azure Data Architect

Azure Data Architect

Cognizant

Washington, DC • On-site

$71.75 - $93.25/hr

Full-time

Posted 26 days ago

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

40th of 58 rated business consultants

Job description

Job Summary:
Cognizant is a company that helps organizations modernize technology and transform experiences. They are seeking an experienced Data Architect with expertise in Azure Data Platform and Databricks to design and deliver scalable data solutions, guide engineering teams, and ensure high-quality data platforms.
Responsibilities:
• Design, develop, and maintain core data architecture frameworks leveraging Azure Data Factory, Azure Data Lake, and Databricks
• Define and communicate technical architecture decisions, including constraints, trade-offs, and design standards
• Design scalable, flexible, and reusable data solutions aligned with enterprise strategy
• Provide guidance on deployment strategies, ensuring solutions are safe, incremental, and reversible
• Lead the development of standard methodologies, frameworks, and reusable components
• Collaborate with technical leads, project managers, and data engineers to review and validate solution designs
• Establish and enforce data engineering best practices, governance, and coding standards
• Evaluate and recommend emerging technologies to improve data platform efficiency and scalability
• Proactively identify and mitigate technical risks and challenges, ensuring timely resolution
• Stay current with evolving trends in data platforms, cloud technologies, and data engineering practices
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Engineering, or Information Systems
• 8+ years of experience designing and implementing enterprise data solutions
• Proven experience as a Data Architect within the Microsoft Azure ecosystem
• Strong hands-on experience with Azure Data Factory (ADF)
• Strong hands-on experience with Azure Synapse Analytics
• Strong hands-on experience with Azure Databricks
• Strong hands-on experience with Azure SQL Database
• Strong hands-on experience with Azure Functions & Logic Apps
• Expertise in data warehousing and modeling techniques: Dimensional modeling, Star schema, Data Vault, Medallion architecture
• Experience with modern data platforms and tools: Databricks, Spark, Snowflake, Kafka, Hadoop, or Dremio
• Advanced proficiency in SQL and relational databases (SQL Server, Oracle, PostgreSQL)
• Advanced proficiency in Python and Spark-based data processing
• Deep knowledge of ETL/ELT frameworks, including batch and real-time data processing
• Experience designing data solutions for API, .NET, and analytics consumption (e.g., Power BI)
• Familiarity with Azure DevOps
• Familiarity with ARM templates
• Familiarity with Automation tools (PowerShell, Azure Automation, AZ Copy)
Preferred:
• Strong experience creating architecture artifacts and high-level data models
• Ability to lead technical discussions and influence stakeholders across varying perspectives
• Demonstrated ability to drive alignment and deliver results in complex environments
• Excellent organizational, communication, and stakeholder management skills
Company:
Cognizant is a professional services company that helps clients alter their business, operating, and technology models for the digital era. Founded in 1994, the company is headquartered in Teaneck, USA, with a team of 10001+ employees. The company is currently Late Stage.

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