ZipRecruiter

Log In

1

Microsoft Azure Data Engineer Jobs in Virginia (NOW HIRING)

NAVA Software Solutions

Data Scientist

Merrifield, VA · On-site

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 ...

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 ...

AMERICAN SYSTEMS

Data Architect

Quantico, VA · On-site

$133K - $222K/yr

... Engineering & Analysis, and Training. The Data Architect will provide enterprise-level data ... Flank Speed Microsoft Azure, while ensuring compliance with Department of Defense (DoD)

ASM Research

Data Engineer Journeyman

Fairfax, VA · On-site

$116K - $140K/yr

Experience with one or more major cloud platforms (AWS, Azure, or Google Cloud) and their native data engineering services (e.g., AWS Glue, Azure Data Factory, BigQuery, or similar). * Familiarity ...

Capital One

Lead Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Capital One

Lead Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Capital One

Lead Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Capital One

Lead Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Capital One

Lead Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Capital One

Lead Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

previous page

Showing results 41-60

All JobsMicrosoft Azure Data Engineer JobsMicrosoft Azure Data Engineer Jobs in Virginia

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 Aug 8, 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 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.

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.

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 expertise in data integration, storage, and processing using tools like Azure Data Factory and Azure Synapse. Organizations seek professionals with skills in cloud platforms, data modeling, and certifications such as Azure Data Engineer Associate to support their data infrastructure needs.
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:
Microsoft Azure Data Engineer jobs near you
Infographic showing various Microsoft Azure Data Engineer job openings in Virginia as of July 2026, with employment types broken down into 88% Full Time, 5% Part Time, 2% Temporary, and 5% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $128,604 per year, or $61.8 per hour.

Data Engineer

Cornerstone Defense

Herndon, VA • On-site

$117K - $141K/yr

Contractor

Re-posted 2 days ago

Job description

  • Location: Herndon, Virginia
  • Type: Contract
  • Job #4009

Title: Data Engineer
Location: Herndon, Virginia
*Clearance: *Active TS/SCI w/ Polygraph needed to apply *
Company Overview:
Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space communities of the U.S. Government. Realizing early on that our most prized assets are our employees, we continually focus our attention on improving the overall work/life experience they have supporting the mission. Our Team is pushed every day to use their industry leading knowledge to provide end-to-end solutions to combat our nation's toughest and most secure problems. If you are looking for a place to not only be professionally challenged, but encouraged and supported by a company that cares, don't look any further than Cornerstone Defense.
The Data Engineer will lead the data architecture and engineering delivery that enables AI/ML/GenAI solutions, ensuring data is trusted, secure, observable, and scalable from ingestion through consumption. You will design and operationalize modern data and retrieval foundations to support LLM-powered applications including patterns such as RAG, embeddings, vector search, and governed access to structured and unstructured data. You will be partnering with a team working with data science, ML engineering, and product stakeholders to translate use cases into production-ready pipelines and platforms with strong data governance, lineage, quality controls, and monitoring. This role blends hands-on technical ability with delivery management and team development, driving consistent engineering standards and measurable outcomes in client environments.
Bachelor's degree in Computer Science, Statistics, Data Science, Information Systems or related field.
6+ years of consulting experience leading delivery teams, including onshore and offshore team members
6+ years of experience gathering non-functional requirements and defining application architecture frameworks, including validation and testing deliverables
5+ years of experience working in an AI environment
5+ years of experience translating requirements into client ready design documents
5+ years of experience in software application architecture analysis, design, and delivery
5+ years of experience executing full system development life cycle implementations
Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect
5 + years of experience in Data Science, Statistics, and Machine Learning
5+ years of experience in Generative AI/LLMs, preferably experienced in delivering and productionizing
5+ years of experience in machine learning model development, natural language processing, and data analysis; Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment
5+ year of experience in implementing cloud-based AI/ML workloads on any of AWS, Microsoft and Azure.

Apply