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Azure Data Engineer Jobs in Virginia (NOW HIRING)

Data Engineer

Herndon, VA ยท On-site

$117K - $141K/yr

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 ...

Data Engineer

Herndon, VA ยท On-site +1

$117K - $141K/yr

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 ...

Data Engineer

Sterling, VA ยท On-site

$113K - $136K/yr

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 ...

Data Engineer - Senior

Herndon, VA ยท On-site +1

$110K - $170K/yr

Azure DevOps or GitHub Actions * Experience with machine learning pipelines * Knowledge of data governance frameworks * Familiarity with real-time streaming systems * Certifications in cloud ...

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

Data Scientist

Fredericksburg, VA ยท On-site

$60 - $70/hr

Data Engineering: ETL tools, APIs, REST services, and cloud data storage (AWS S3, Azure Data Lake, GCP BigQuery). * Statistics & Modeling: Regression, time-series forecasting, clustering, and anomaly ...

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Showing results 1-20

Azure Data Engineer information

See Virginia salary details

$44.1K

$128.6K

$176K

How much do azure data engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for 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 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 Virginia? The most popular types of Azure Data Engineer jobs in Virginia are:
What are popular job titles related to Azure Data Engineer jobs in Virginia? For Azure Data Engineer jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Azure Data Engineer jobs? Cities in Virginia with the most Azure Data Engineer job openings:
Infographic showing various Azure Data Engineer job openings in Virginia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $128,604 per year, or $61.8 per hour.
Data Engineer (AWS, Azure, GCP)

Data Engineer (AWS, Azure, GCP)

CapTech Consulting

Richmond, VA โ€ข On-site

$113K - $136K/yr

Full-time

Medical, Retirement, PTO

Re-posted 7 days ago


Job description

Company Description

CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.

Job Description

CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sourcesย in order to enableย decision-makers.ย We build pipelines and prepare data for use by data scientists, data analysts, and other data systems.ย We love solving problems and providing creative solutions for our clients.ย Cloud Data Engineers leverage the client's cloud infrastructure to deliver this value today and to scale for the future.ย We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients.ย 

Specific responsibilities for theย Data Engineer - Cloudย position include:ย 

  • Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)ย 
  • Advising clients on specific technologies and methodologies for utilizing cloud resources to efficientlyย ingest and process dataย quicklyย 
  • Utilizing your skills in engineering best practices to solve complex dataย problemsย 
  • Collaboratingย with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization.ย 
  • Articulatingย architectural differences between solution methods and the advantages/disadvantages of eachย 
Qualifications

Typical experience forย successful candidates includes:ย ย 

  • Experienceย delivering solutionsย on a major cloudย platformย 
  • Abilityto think strategically and relate architectural decisions/recommendations to business needs and clientย cultureย 
  • Experience in the design and implementation of data architecture solutionsย 
  • A wideย rangeย ofย production database experience, usually including substantial SQL expertise, database administration, and scripting dataย pipelinesย 
  • Abilityto assessย and utilizeย traditional and modern architectural componentsrequiredbased on business needs.ย 
  • A demonstrable ability to deliver production data pipelines and other data products. This could be hands on experience, degree, certification, bootcamp, or other learning.ย 

Skills:ย 

Successful candidates usually have demonstrable experience with technologies inย some ofย these categories:ย ย 

  • Languages: SQL, Python, Java, R, C# / C++ / Cย 
  • Database: SQL Server, PostgreSQL,ย Snowflake,ย Redshift, Aurora,ย Presto,ย BigQuery,ย Oracleย 
  • DevOps: git, docker, subversion, Kubernetes, Jenkinsย 
  • Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMRย 
  • Popularย Certifications: AWS Cloud Practitioner,ย Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer
Additional Information

We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions.ย  You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way.ย ย Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs.ย 

  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.ย 
  • Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs
  • Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay forย care
  • Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups -ย Employee-ledย committeesย thatย embrace and incorporate diversity and inclusion into ourย day-to-dayย operations
  • Philanthropic Partnerships -ย Opportunities to engage in partnerships and pro-bono projects that support our communities.ย 
  • 401(k)ย Matching - Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values.ย  We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace.ย For more information about our Diversity, Inclusion and Belonging efforts,ย clickย HERE.ย  As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email [emailย protected].

CapTech supports Equal Pay for all.ย In addition, in the State of Virginia, we are committed to Equal Pay for ALL in accordance with the Virginia Transparency Law.ย Compensation for this role will be commensurate with the candidate's skills, total relevant experience, job level, and geographic location. The base pay range for this role is: $90,000 - $200,000.

At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.ย ย