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Azure Databricks Jobs in Washington, DC (NOW HIRING)

Berkley

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

As a hands-on Databricks Data Engineer with deep expertise in Azure Databricks and MLOps, this role will have the opportunity to migrate and translate legacy SSIS ETL logic into scalable, cloud ...

Berkley

Databricks Data Engineer

Manassas, VA

$114K - $137K/yr

As a hands-on Databricks Data Engineer with deep expertise in Azure Databricks and MLOps, this role will have the opportunity to migrate and translate legacy SSIS ETL logic into scalable, cloud ...

Berkley

Databricks Data Engineer

Manassas, VA

$114K - $137K/yr

As a hands-on Databricks Data Engineer with deep expertise in Azure Databricks and MLOps, this role will have the opportunity to migrate and translate legacy SSIS ETL logic into scalable, cloud ...

PamTen Inc

Databricks Architect

Washington, DC · On-site

$73 - $96/hr

... Azure environments. • Define architecture standards, best practices, and reusable design patterns. • Mentor data engineers, analysts, and architects on Databricks technologies and platform ...

CyberMedia Technologies

Data Engineer

Mclean, VA

$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:

Pipe Recruit

Senior Engineer

Rockville, MD · On-site

$106K - $146K/yr

Responsibilities : • Design, develop, and deploy robust data solutions using: • + Azure Data Lake (Gen1/Gen2) • + Azure Data Factory • + Azure Databricks (including Spark clusters) • ...

SiloSmashers

Testing not a real job

Alexandria, VA · On-site

Deploy and maintain models on Azure (Azure ML, Azure Databricks, and/or AKS), ensuring reliability and cost efficiency at scale. * Monitor model performance in production, diagnose drift and ...

New

MDAEdge

Medicaid Data Systems Analyst

Washington, DC · On-site

... for Azure Data Factory and Databricks. • Map raw MMIS schemas to target Data Warehouse formats for BI tools. Qualifications : Required : • bachelor's degree • 5+ years of relevant experience ...

Saim Technologies

Azure data lead

Washington, DC · On-site

$72 - $93.75/hr

Data Lead with Azure Data Factory (ADF), DataBricks Job Summary The Technical Lead will be responsible for leading and managing the implementation, maintenance, and support of Snowflake, Azure Data ...

New

DLA Piper

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Quantum Vision

Data Architect

Vienna, VA · On-site

$64 - $82.25/hr

Required Qualifications • Power BI: 8 years • Databricks: 5 Years • Python Scripting: 5 Years • Azure DevOps: 3 Years • SharePoint: 3 Years • Strong interpersonal skills and the ability ...

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All JobsAzure Databricks JobsAzure Databricks Jobs in Washington, DC

Azure Databricks information

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$12

$66

$90

How much do azure databricks jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for azure databricks in Washington, DC 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.

Is Azure Databricks in demand?

Azure Databricks is a popular platform for data engineering, analytics, and machine learning, and professionals with skills in Spark, Python, and cloud environments are increasingly sought after. As organizations adopt cloud-based data solutions, demand for roles involving Azure Databricks continues to grow across industries.

What does a typical day look like for someone working in an Azure Databricks role?

A typical day for an Azure Databricks professional involves designing, developing, and maintaining data pipelines, collaborating with data scientists and business analysts to transform raw data into actionable insights. You may spend time configuring Spark clusters, optimizing query performance, ensuring data security, and troubleshooting data workflow issues. Regular meetings with stakeholders and team members are common to align on project requirements and report progress. This role often offers a mix of independent technical work and team collaboration, making it both dynamic and engaging.

Is Databricks a high paying job?

Azure Databricks professionals, such as data engineers and data scientists, typically earn above-average salaries due to their specialized skills in cloud platforms, big data processing, and machine learning. Compensation varies based on experience, location, and certifications, but these roles are generally well-paid within the tech industry.

What is a job in Azure Databricks?

A job in Azure Databricks refers to an automated task or set of tasks that run on the platform, such as data processing, machine learning model training, or data pipeline execution. These jobs are scheduled and managed through the Azure Databricks workspace, often requiring knowledge of Spark, Python, Scala, or SQL. They enable users to automate workflows and handle large-scale data analytics efficiently.

What is an Azure Databricks job?

An Azure Databricks job is a way to run a notebook, JAR, Python script, or other workload in an automated or scheduled manner on an Azure Databricks cluster. Jobs allow users to orchestrate data processing, machine learning tasks, or ETL workflows efficiently. They can be triggered manually, on a schedule, or in response to events, enabling streamlined data pipeline management. Jobs also support multi-task workflows, allowing dependencies between different tasks.

What is the salary of Azure Databricks developer?

The salary of an Azure Databricks developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and certifications. Skilled professionals with expertise in Spark, Python, and cloud environments tend to earn higher salaries.

What are the key skills and qualifications needed to thrive in the Azure Databricks position, and why are they important?

To thrive as an Azure Databricks professional, you need expertise in big data analytics, data engineering, and proficiency with SQL, Python, and Apache Spark, typically supported by a degree in computer science or a related field. Familiarity with the Azure cloud ecosystem, Databricks platform tools, and advantageous certifications like Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate technical concepts clearly help set you apart in this role. These abilities are crucial for designing and optimizing scalable data solutions and effectively working within cross-functional data teams.

What are the most commonly searched types of Azure Databricks jobs in Washington, DC? The most popular types of Azure Databricks jobs in Washington, DC are:
What are popular job titles related to Azure Databricks jobs in Washington, DC? For Azure Databricks jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Azure Databricks jobs in Washington, DC look for? The top searched job categories for Azure Databricks jobs in Washington, DC are:
Azure Databricks jobs near you
Infographic showing various Azure Databricks job openings in Washington, DC as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $137,584 per year, or $66.1 per hour.

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

MDAEdge

Rockville, MD • On-site

$106K - $146K/yr

Full-time

Re-posted 14 days ago

Job description

Job Summary:
MDAEdge is seeking a highly skilled Azure Data Engineer to design and implement modern data solutions using the Azure cloud ecosystem. The role involves building scalable and secure data platforms that drive analytics and business insights, utilizing technologies such as Azure Data Lake, Data Factory, Databricks, and Power BI.
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.

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