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

Accenture Federal Services

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

Venture Global, Inc.

Data Engineer

Arlington, VA · On-site

$150K - $155K/yr

Maintain the Azure components and services. * Develop architecture changes using infrastructure as code. * Create data architectures diagrams for complex data modeling solutions. * Create and ...

Venturegloballng

Data Engineer

Arlington, VA

$150K - $155K/yr

Maintain the Azure components and services. * Develop architecture changes using infrastructure as code. * Create data architectures diagrams for complex data modeling solutions. * Create and ...

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

Azure Data Engineer information

See Reston, VA salary details

$46.4K

$135.2K

$185K

How much do azure data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for azure data engineer in Reston, VA is $135,200.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,300.00 and $143,300.00 per year, depending on experience, location, and employer.

What is an Azure Data Engineer?

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 key skills and qualifications needed to thrive as an Azure Data Engineer?

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 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.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data infrastructure across industries.

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:

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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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $135,200 per year, or $65 per hour.

Sr. Azure Data Engineer-Hybrid

Cognizant Technology Solutions

Washington, DC • On-site

$92K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Cognizant rating

7.2

Company rating: 7.2 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

53rd of 72 rated business consultants

Job description

Job Responsibilities
  • Build and support Azure-centric integration components using Azure Event Grid, Azure Functions, Azure Logic Apps, Azure Data Lake Store, Azure Key Vault, and Azure Data Factory as part of event-driven workflows for banking applications
  • Develop data processing pipelines that ingest, transform, and store investment banking and brokerage data in Azure Data Lake Store, following established design patterns
  • Work with product owners, business analysts, and engineering teams to implement technical requirements based on defined architecture and enterprise standards
  • Support and maintain Azure Data Factory pipelines, including mapping data flows, to help improve latency, throughput, and data quality
  • Configure Azure Key Vault for applications to manage secrets, certificates, and encryption keys per established security guidelines
  • Implement event-driven components using Azure Event Grid and Azure Functions to process trade events, settlements, and reconciliations, including basic error handling and monitoring
  • Build integrations with Azure Logic Apps to support workflow automation across trading platforms, market data feeds, and back-office systems
  • Follow logging, monitoring, and alerting standards across Azure services to support observability of pipelines and functions
  • Assist in identifying opportunities to modernize legacy data and integration workloads, and help implement migration tasks under senior guidance
  • Document technical implementation details, interface contracts, and configurations to support team knowledge sharing
  • Coordinate with security and risk teams to implement encryption, access control, and secret management configurations per internal policy
  • Participate in hybrid work model ceremonies, including design reviews, sprint planning, and team syncs, during day shifts

Qualifications
  • Hands-on experience with Azure Event Grid, Azure Functions, Azure Logic Apps, Azure Data Lake Store, Azure Key Vault, and Azure Data Factory in production environments
  • Working knowledge of cloud security, data protection, and identity management as applied to sensitive financial data
  • Exposure to investment banking operations or brokerage domains (trade lifecycles, settlements, reconciliations, reporting) is a plus
  • Solid skills in data modeling, integration patterns, and pipeline performance tuning
  • Good communication skills to collaborate with cross-functional teams
  • Comfortable working in hybrid/distributed team settings with clear documentation practices

About Cognizant's IoT Practice:
Intelligent, IoT-enabled products will soon result in the proliferation of data and disrupt virtually all industries. To be successful, both large and small companies must leverage IoT capabilities by designing modern products that fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products will revolutionize experiences and result in exciting, transformative outcomes. Without human-centered thinking, connected products are just standalone things-but with it, our modern connected products facilitate a unified way of life enjoyed by all.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
  • Applications will be accepted until September 4th , 2026
  • LI#- #LI-SC6

Compensation & Benefits
$92,000 - $110,000 per year
Bonus + Comprehensive Benefits
Additional Information
  • Onsite role
  • ⚠️ Visa sponsorship is not available now or in the future. Candidates requiring sponsorship will not be considered.

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
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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