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

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 ...

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 ...

Data Engineer

Washington, DC

$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

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 ...

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 ...

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 ...

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Contract Azure Data Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

How much do contract azure data engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for contract 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 Contract Azure Data Engineer vs Contract Data Engineer?

AspectContract Azure Data EngineerContract Data Engineer
CertificationsAzure Data Engineer Associate, cloud certificationsGeneral data engineering certifications, such as Google Cloud or AWS certifications
Work EnvironmentPrimarily cloud-based, Azure platformCloud or on-premises, varies by employer
Industry UsageOrganizations using Microsoft AzureOrganizations using various cloud providers or on-premises data solutions
Search IntentComparing roles focused on Azure cloud data solutionsBroader data engineering roles across platforms

The Contract Azure Data Engineer specializes in building and managing data solutions within the Azure cloud platform, often requiring specific Azure certifications. In contrast, the Contract Data Engineer has a broader scope, working across multiple cloud providers or on-premises environments. The Azure-focused role is ideal for those targeting Azure-centric projects, while the general Data Engineer role offers flexibility across different platforms.

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

To thrive as a Contract Azure Data Engineer, you need strong expertise in data engineering concepts, SQL, ETL processes, and a solid understanding of Azure cloud services, typically supported by a relevant degree or certifications like Microsoft Certified: Azure Data Engineer Associate. Familiarity with tools such as Azure Data Factory, Azure Synapse Analytics, Databricks, and Power BI is commonly required. Excellent problem-solving skills, effective communication, and the ability to work independently are standout soft skills in this role. These skills ensure efficient data pipeline development, seamless integration with cloud systems, and successful project delivery in dynamic contract environments.

What types of projects and team structures can a Contract Azure Data Engineer expect to work with?

As a Contract Azure Data Engineer, you will typically work on projects centered around data migration, data warehousing, or the implementation of cloud-based analytics solutions using Microsoft Azure. You may be embedded within cross-functional teams that include data architects, analysts, and software engineers, often collaborating closely to deliver solutions under tight deadlines. The contract nature of the role means you might be brought in to address specific technical challenges or to accelerate ongoing projects, so adaptability and strong communication skills are highly valued. This role often provides exposure to diverse industries and the opportunity to quickly expand your professional network.

What are Contract Azure Data Engineers?

Contract Azure Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data solutions using Microsoft Azure's cloud services. They specialize in creating data pipelines, integrating various data sources, and ensuring data is stored, processed, and made available efficiently in the Azure environment. These engineers often work with tools like Azure Data Factory, Azure Synapse Analytics, and Azure Databricks. Their role is critical for organizations needing scalable, secure, and reliable data infrastructure in the cloud.
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 Contract Azure Data Engineer jobs in Reston, VA? For Contract Azure Data Engineer jobs in Reston, VA, the most frequently searched job titles are:
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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