1

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

Data Engineer

Washington, DC · On-site

$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

Data Engineer

Washington, DC · On-site

$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

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

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 ...

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

... computer engineering, or data analytics; Or equivalent combination of education, skills, and ... Azure Integrations tools such as Logic Apps, ADF, Function Apps · Experience with Azure data ...

next page

Showing results 1-20

Azure Data Engineer information

See Sterling, VA salary details

$44.1K

$128.5K

$175.8K

How much do azure data engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for azure data engineer in Sterling, VA is $128,465.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $136,200.00 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 popular job titles related to Azure Data Engineer jobs in Sterling, VA?

For Azure Data Engineer jobs in Sterling, VA, the most frequently searched job titles are:

What job categories do people searching Azure Data Engineer jobs in Sterling, VA look for?

The top searched job categories for Azure Data Engineer jobs in Sterling, VA are:

What cities near Sterling, VA are hiring for Azure Data Engineer jobs?

Cities near Sterling, VA with the most Azure Data Engineer job openings:

Infographic showing various Azure Data Engineer job openings in Sterling, VA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $128,465 per year, or $61.8 per hour.

Senior Engineer/Senior Azure Data Engineer - Azure Synapse, Databricks & Power BI

Rockville, MD • On-site

$106K - $146K/yr

Full-time

Re-posted yesterday


Job description

Job Summary:
MDAEdge is looking for a highly skilled Azure Data Engineer to design and implement modern data solutions using the Azure cloud ecosystem. The ideal candidate will have deep expertise in Azure Data Lake, Data Factory, Databricks, Synapse Analytics, and Power BI, and will build scalable, secure, and high-performing data platforms that drive analytics and business insights.
Responsibilities:
• Design and develop robust data pipelines using Azure Data Factory and Azure Databricks.
• Work with streaming data processing using Spark clusters in Azure Databricks.
• Manage and utilize Azure Data Lake Gen1/Gen2, Blob containers, and Azure SQL Server for data storage and processing.
• Build and maintain Azure Data Warehouses and deliver scalable solutions using Azure Synapse Analytics.
• Implement secure data access and management using Azure Key Vault and Azure Active Directory.
• Integrate event-driven architecture using ESB, Event Grid, and Azure Functions.
• Work with Cosmos DB for NoSQL database solutions within cloud-native applications.
• Develop and publish interactive dashboards and analytics reports using Power BI.
• Ensure security, compliance, and performance of data infrastructure.
Qualifications:
Required:
• Strong experience with Azure Data Lake Gen1/Gen2
• Strong experience with Azure Data Factory
• Strong experience with Azure Databricks (including Spark clusters)
• Strong experience with Azure Synapse Analytics
• Strong experience with Azure SQL Server, Cosmos DB, Blob Storage
• Strong experience with Azure Key Vault, Azure Active Directory
• Strong experience with Azure Functions, Event Grid, ESB
• Mandatory experience with Power BI for analytics and dashboard creation
Preferred:
• Experience in building end-to-end data pipelines for big data and analytics
• Knowledge of data governance and data security best practices in Azure
• Familiarity with DevOps for Data Engineering and automation of deployments
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.