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Azure Data Jobs in Washington (NOW HIRING)

Accenture Federal Services

Data Engineer

Washington, DC

$129K - $155K/yr

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 ...

TLA-LLC

Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

Evaluate and recommend new database technologies, cloud platforms (AWS, Azure, GCP), and tools to continuously enhance our data capabilities. • Collaboration and Leadership: Provide technical ...

TLA-LLC

Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

Evaluate and recommend new database technologies, cloud platforms (AWS, Azure, GCP), and tools to continuously enhance our data capabilities. Collaboration and Leadership: Provide technical ...

CyberMedia Technologies

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Build, optimize, and maintain data processing solutions using Azure Databricks and lakehouse architectures to support analytical, operational, and reporting use cases. * Data Migration Support:

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 ...

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All JobsAzure Data JobsAzure Data Jobs in Washington

Azure Data information

See Washington salary details

$12

$66

$90

How much do azure data jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for azure data in Washington is $66.15, according to ZipRecruiter salary data. Most workers in this role earn between $59.90 and $74.33 per hour, depending on experience, location, and employer.

What is the difference between Azure Data vs Data Engineer?

AspectAzure DataData Engineer
CertificationsAzure Data Engineer Associate, Azure FundamentalsGoogle Cloud Professional Data Engineer, AWS Certified Data Analytics
Work EnvironmentPrimarily cloud-based, using Azure platformCloud, on-premises, or hybrid environments
Industry UsageOrganizations leveraging Azure cloud servicesOrganizations managing large-scale data pipelines and storage
Common Search IntentAzure Data roles, Azure Data solutionsData pipeline development, data architecture

Azure Data professionals focus on managing data within the Azure cloud ecosystem, utilizing Azure-specific tools and services. Data Engineers have a broader scope, designing and building data pipelines across various platforms, including Azure, AWS, or on-premises systems. While Azure Data roles are specialized for Azure environments, Data Engineers work across multiple cloud providers and on-premises setups, making their roles more versatile in data infrastructure development.

How does an Azure Data professional typically collaborate with other teams within an organization?

Azure Data professionals frequently work alongside data engineers, business analysts, developers, and IT administrators to ensure that data solutions are robust, scalable, and meet business needs. They often participate in cross-functional meetings to understand requirements, troubleshoot issues, and optimize data pipelines. Effective communication is key, as they translate technical concepts for non-technical stakeholders and provide guidance on best practices for data storage, processing, and security within Azure environments.

What are the key skills and qualifications needed to thrive as an Azure Data professional, and why are they important?

To thrive as an Azure Data professional, you need expertise in data modeling, SQL, and cloud data architecture, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure SQL Database, Data Factory, Synapse Analytics), and certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving, analytical thinking, and effective communication skills help you excel in cross-functional teams and translate business requirements into technical solutions. These competencies ensure data solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving cloud environment.

What is an Azure Data job?

Azure Data jobs refer to roles that focus on managing, analyzing, and securing data using Microsoft's Azure cloud platform. These positions can include data engineers, data analysts, database administrators, and data architects who work with Azure services like Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics. Responsibilities often involve designing data solutions, building data pipelines, ensuring data quality, and implementing security best practices on Azure. Professionals in Azure Data roles help organizations leverage cloud-based data technologies to gain insights, optimize operations, and support business decision-making.
What are popular job titles related to Azure Data jobs in Washington? For Azure Data jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Azure Data jobs in Washington look for? The top searched job categories for Azure Data jobs in Washington are:
What cities in Washington are hiring for Azure Data jobs? Cities in Washington with the most Azure Data job openings:
Azure Data jobs near you
Infographic showing various Azure Data job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $137,584 per year, or $66.1 per hour.

Data Engineer

Accenture Federal Services

Washington, DC

$129K - $155K/yr

Full-time

Re-posted 4 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

44th of 485 rated business services

Job description

The work: 

  • Pipeline Architect: Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies. 
  • Transformation Titan: Develop efficient data processing and transformation workflows to support analytics and reporting needs. 
  • Integration Hero: Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets. 
  • Collaboration Champion: Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals. 
  • Quality Guardian: Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability. 
  • Automation Avenger: Contribute to data governance, security, and automation initiatives within the data ecosystem. 
  • Cloud Commander: Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment. 

Here's what you need: 

  • 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 
  • Must be a US Citizen

Bonus points if you have: 

  • Secret clearance or above 
  • Experience working with federal clients 

  • Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi 

  • Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack 

  • Experience with Agile / Scrum

  • Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar 

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