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Azure Data Engineer Jobs in Washington, DC (NOW HIRING)

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 ...

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 ...

Cloud Engineer - Data

National Harbor, MD · On-site

$100K - $140K/yr

Job Title: Cloud Solutions Engineer - Data (Azure/Fabric) Location: National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 Annually, subject to experience - plus a ...

Job Title: Cloud Solutions Engineer - Data (Azure/Fabric) Location: National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 Annually, subject to experience - plus a ...

Cloud Engineer - Data

National Harbor, MD · On-site

$100K - $140K/yr

Job Title: Cloud Solutions Engineer - Data (Azure/Fabric) Location: National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 Annually, subject to experience - plus a ...

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

... claims processing and leveraging Azure technologies for data management and reporting ... Azure Data Engineer Associate or Databricks Certified Professional Data Engineer • Government or ...

Data Engineer

Washington, DC · On-site

$129K - $155K/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 ...

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 ...

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 ...

Cloud Solutions Engineer - Data (Azure/Fabric) Location: National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 annually, subject to experience, plus a performance bonus up ...

Senior Data Engineer 5489

Reston, VA · On-site

$110K - $149K/yr

Senior Data Engineer 5489 Location: Reston, VA (Onsite 3 Days Per Week) Compensation: Target ... Develop cloud-based data solutions using Azure technologies. * Standardize, cleanse, transform, and ...

Showing results 21-40

Azure Data Engineer information

See Washington, DC salary details

$50.3K

$146.5K

$200.4K

How much do azure data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for azure data engineer in Washington, DC is $146,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,300.00 and $155,300.00 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 Washington, DC?

The most popular types of Azure Data Engineer jobs in Washington, DC are:

What are popular job titles related to Azure Data Engineer jobs in Washington, DC?

For Azure Data Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Azure Data Engineer jobs in Washington, DC look for?

The top searched job categories for Azure Data Engineer jobs in Washington, DC are:

Infographic showing various Azure Data Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 79% In-person, 6% Hybrid, and 15% Remote job distribution, with an average salary of $146,477 per year, or $70.4 per hour.

Cleared Data Engineer

Accenture Federal Services

Washington, DC • On-site

$129K - $155K/yr

Full-time

Re-posted 2 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

51st of 500 rated business services


Job description

Job Summary:
Accenture Federal Services is dedicated to enhancing the capabilities of the US federal government through technology and innovation. The Cleared Data Engineer will design and maintain data pipelines, integrate diverse data sources, and ensure data accuracy and reliability to support analytics and reporting needs.
Responsibilities:
• Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies.
• Develop efficient data processing and transformation workflows to support analytics and reporting needs.
• Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets.
• Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals.
• Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability.
• Contribute to data governance, security, and automation initiatives within the data ecosystem.
• Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment.
Qualifications:
Required:
• Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory)
• Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake)
• Experience with Python, SQL, Spark, and PySpark
• Experience with data platforms like Databricks, Palantir, and Snowflake
• Familiarity with data orchestration and data quality processes
• Active Top Secret or TS/SCI or TS/SCI with polygraph clearance
Preferred:
• Experience working with federal clients
• Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack
• Experience with Agile / Scrum
• Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi
• Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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