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Microsoft Azure Data Engineer Jobs in Virginia (NOW HIRING)

Data Engineer

Falls Church, VA · On-site

$95 - $135/hr

Technical Scope The engineer will leverage Azure Data Factory, Databricks, Oracle, SQL Server, and Azure Database services to build and sustain enterprise data pipelines, partnering with program and ...

New

Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time ...

... computer engineering, or data analytics; Or equivalent combination of education, skills, and ... Microsoft Office suite with special emphasis on MS Excel and MS Access. · Ability to work ...

Cloud Data Architect

Herndon, VA · On-site +1

$66.75 - $85/hr

Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, or equivalent Azure certification. * Direct experience with VA or other federal health-data environments (e.g ...

Lead Azure /Dot Net Developer

Richmond, VA · On-site

$53.75 - $66.75/hr

Echo IT Solutions is seeking a Lead Azure /Dot Net Developer to design, implement, and optimize data solutions within the Microsoft Azure cloud ecosystem. The role involves planning cloud ...

Data Engineer

Fairfax, VA · On-site +1

$130K - $155K/yr

The ideal candidate brings a deep expertise in SQL, Spark, Databricks, Azure cloud analytics, and ... The Data Engineer will collaborate with developers, data scientists, and program stakeholders to ...

Data Engineer

Fairfax, VA · On-site +1

$130K - $155K/yr

The ideal candidate brings a deep expertise in SQL, Spark, Databricks, Azure cloud analytics, and ... The Data Engineer will collaborate with developers, data scientists, and program stakeholders to ...

Data Engineer

Fairfax, VA · On-site

$130 - $155/hr

The ideal candidate brings a deep expertise in SQL, Spark, Databricks, Azure cloud analytics, and ... The Data Engineer will collaborate with developers, data scientists, and program stakeholders to ...

Senior Data Engineer (Secret Cleared)

Arlington, VA · On-site

$121K - $165K/yr

Senior Data Engineer (Secret Cleared) Category: Database Administration Main location: United ... Microsoft Azure Data Factory * Microsoft Azure Synapse * Python (Anaconda) AI/ML What you can ...

Senior Data Engineer 5489

Reston, VA

$110K - $149K/yr

Azure Data Lake Storage * Microsoft Purview Programming & Data Engineering * Python (Pandas, PySpark) * SQL * Apache Spark Data Management * Data Modeling * Data Warehousing * Data Governance * Data ...

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Senior Data Engineer

Herndon, VA · On-site

$120 - $160/hr

DP-203, Microsoft Certified Azure Data Engineer Associate, or an equivalent current certification. * Implementing pipelines and infrastructure using code first approaches: Python SDK, CLI, REST APIs ...

New

Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud * Understanding of data models, large datasets, business/technical ...

Data Engineer (763232)

Richmond, VA · On-site

$112K - $134K/yr

... implementing Azure machine learning services. Responsibilities : • Strong Data engineering ... fundamentals. • Utilize Big data frameworks like Spark/Databricks. • Training LLMs with ...

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 ...

Showing results 41-60

Microsoft Azure Data Engineer information

See Virginia salary details

$44.1K

$128.6K

$176K

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

As of Sep 3, 2026, the average yearly pay for microsoft azure data engineer in Virginia is $128,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

What is a Microsoft Azure Data Engineer?

A Microsoft Azure Data Engineer is responsible for designing, implementing, and managing data solutions on the Azure cloud platform. They work with structured and unstructured data, building data pipelines, optimizing storage, and ensuring efficient data processing. Their role includes using Azure services like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to support business intelligence and analytics. They also ensure data security, compliance, and performance optimization.

What are the typical daily responsibilities of a Microsoft Azure Data Engineer?

A Microsoft Azure Data Engineer usually spends their day designing, implementing, and maintaining data pipelines using Azure services to ensure the reliable flow and transformation of data. They collaborate closely with data scientists, analysts, and business stakeholders to understand requirements and deliver scalable solutions. Regular tasks might include optimizing database performance, troubleshooting data integration issues, writing code for data ingestion, and maintaining data security and compliance within the cloud environment. This multifaceted work environment offers varied challenges and opportunities for continuous learning and professional development.

What are the key skills and qualifications needed to thrive in the Microsoft Azure Data Engineer position, and why are they important?

To excel as a Microsoft Azure Data Engineer, you need expertise in data modeling, ETL processes, SQL, and cloud data services, usually validated by a computer science degree or similar field. Familiarity with Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving abilities, attention to detail, and excellent communication skills help in collaborating with both technical and non-technical teams. These capabilities ensure efficient, secure, and scalable data solutions that meet business needs in dynamic enterprise environments.

Is a Microsoft Azure Data Engineer in demand?

Microsoft Azure Data Engineers are in high demand due to the increasing adoption of cloud data solutions and the need for managing large-scale data platforms. Skills in Azure data services, data modeling, and certifications like Azure Data Engineer Associate enhance job prospects in this field.

What are the most commonly searched types of Microsoft Azure Data Engineer jobs in Virginia?

The most popular types of Microsoft Azure Data Engineer jobs in Virginia are:

What are popular job titles related to Microsoft Azure Data Engineer jobs in Virginia?

For Microsoft Azure Data Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Microsoft Azure Data Engineer jobs in Virginia look for?

The top searched job categories for Microsoft Azure Data Engineer jobs in Virginia are:

Infographic showing various Microsoft Azure Data Engineer job openings in Virginia as of August 2026, with employment types broken down into 65% Full Time, and 35% Contract. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution, with an average salary of $128,604 per year, or $61.8 per hour.

$95 - $135/hr

Other

Posted 2 days ago

New


Job description

Role Summary

Karthik Consulting is seeking a talented and driven Data Engineer to join its enterprise data and cloud engineering team

Role Overview

The Data Engineer will configure and administer enterprise-level data stores, design and maintain ETL/ELT pipelines, and support batch and streaming data transport across the organization's data platforms. This role focuses on building reliable, secure data infrastructure and integrations that support enterprise reporting and analytics needs.

Technical Scope

The engineer will leverage Azure Data Factory, Databricks, Oracle, SQL Server, and Azure Database services to build and sustain enterprise data pipelines, partnering with program and project teams using Azure DevOps and GitHub within an agile delivery model to support Azure Cloud migration efforts.

Key ResponsibilitiesRequired Skills
  • Minimum of five (5) years of professional experience configuring and administering enterprise-level data stores,
  • ETL/ELT methods, and batch and streaming data transport, including API development.
  • Hands-on understanding of data technologies to include, but not limited to, Azure Data Factory, Databricks, Oracle,
    SQL Server, and Azure Database services.
  • Proficiency working within an enterprise data management infrastructure, including Azure Cloud and cloud migration
    efforts.
  • Experience utilizing program and project management tools, such as Azure DevOps and GitHub, to plan, execute, and
    measure projects.
  • Proficiency in agile development methodologies with demonstrated experience working on agile projects.
Preferred Skills & Experience
  • Experience working with CI/CD pipelines and GitHub.
  • Experience developing and executing action plans to ensure security compliance and to respond to findings if they
    occur.
  • Certifications for Azure (AZ-900, DP-900, DP-203)
  • Certifications for Databricks (Data Engineer Associate)
Key Responsibilities
  • Configure and administer enterprise-level data stores supporting ETL/ELT methods and batch and streaming data
    transport.
  • Design, develop, and maintain APIs to support enterprise data integration needs.
  • Leverage Azure Data Factory, Databricks, Oracle, SQL Server, and Azure Database services to build and manage
    enterprise data pipelines.
  • Support enterprise data management infrastructure, including Azure Cloud environments and cloud migration
    initiatives.
  • Utilize Azure DevOps and GitHub to plan, execute, and measure project deliverables.
  • Participate in agile development processes, contributing to sprint planning, execution, and delivery.
  • Develop and execute action plans to maintain security compliance and respond promptly to findings.
QualificationsEducation

Minimum Requirement: Bachelor's degree from an accredited college or university in Computer Science, Engineering, or an applicable technical field.

Core Competencies & Traits
  • Strong analytical and problem-solving skills applied to enterprise data infrastructure and cloud environments.
  • Clear, proactive communication and cross-functional collaboration within agile project teams.
  • Commitment to continuous improvement, security compliance, and staying current with evolving data engineering
    and cloud practices.
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