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Azure Databricks Jobs in Washington (NOW HIRING)

eSolutionsFirst, LLC

Databricks Architect

Mclean, VA · On-site

$66.50 - $87.25/hr

Experience with Azure Databricks, AWS Databricks, or Databricks on Google Cloud Platform. * Strong understanding of Spark performance tuning and distributed processing. * Experience with CI/CD, MLOps ...

eSolutionsFirst, LLC

Databricks Architect

Mclean, VA · On-site

$66.50 - $87.25/hr

Experience with Azure Databricks, AWS Databricks, or Databricks on Google Cloud Platform. * Strong understanding of Spark performance tuning and distributed processing. * Experience with CI/CD, MLOps ...

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 ...

Five Guys

Data Platform Engineer (Azure)

Alexandria, VA · On-site

$56.50 - $77.25/hr

Databricks Notebooks * Data Pipelines * Infrastructure Components * Platform Services * Establish deployment standards and environment promotion processes across Development, QA, and Production ...

Five Guys

Data Platform Engineer (Azure)

Alexandria, VA · On-site

$56.50 - $77.25/hr

Databricks Notebooks * Data Pipelines * Infrastructure Components * Platform Services * Establish deployment standards and environment promotion processes across Development, QA, and Production ...

Five Guys

Data Platform Engineer (Azure)

Alexandria, VA · Remote

$120K - $125K/hr

Databricks Notebooks * Data Pipelines * Infrastructure Components * Platform Services * Establish deployment standards and environment promotion processes across Development, QA, and Production ...

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:

MDAEdge

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

Azure Data Engineer Associate or Databricks Certified Professional Data Engineer • Government or highly regulated environment experience (7+ years) Company : The world doesn't have a talent ...

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) • ...

Guidehouse

Senior Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

Design, build, and operate Azure Lakehouse architectures using Azure Databricks, Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, and Azure Data Factory to support analytical and ...

Guidehouse

Senior Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

Design, build, and operate Azure Lakehouse architectures using Azure Databricks, Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, and Azure Data Factory to support analytical and ...

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 degradation ...

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Azure Databricks information

What is an Azure Databricks?

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 does an Azure Databricks do?

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.

What are the key skills and qualifications needed for an Azure Databricks?

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.

Are Azure Databricks in high demand?

Azure Databricks professionals are in high demand due to the increasing adoption of cloud-based data analytics and machine learning solutions. Skills in Spark, Python, and cloud environments enhance job prospects, with many organizations seeking expertise in managing large-scale data workflows on Azure. The role often requires familiarity with data engineering, data science, and cloud certifications.

Is Azure Databricks difficult to learn?

Azure Databricks is a cloud-based data analytics platform that combines Apache Spark with Azure services, and learning it involves understanding Spark concepts, data engineering, and cloud environment management. While it has a learning curve for beginners, familiarity with programming languages like Python or Scala and basic data processing skills can facilitate the learning process.

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 the salary of an Azure Databricks engineer?

The salary of an Azure Databricks engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications. Professionals with strong skills in Spark, cloud computing, and data engineering can expect higher compensation. Salaries may also vary based on company size and industry demand.

What are the most commonly searched types of Azure Databricks jobs in Washington?

The most popular types of Azure Databricks jobs in Washington are:

What are popular job titles related to Azure Databricks jobs in Washington?

For Azure Databricks jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Azure Databricks jobs in Washington look for?

The top searched job categories for Azure Databricks jobs in Washington are:

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Cities in Washington with the most Azure Databricks job openings:

Azure Databricks jobs near you
Infographic showing various Azure Databricks job openings in Washington as of August 2026, with employment types broken down into 53% Full Time, and 47% Contract. Highlights an 100% In-person job distribution.

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

Rockville, MD • On-site

MDAEdge
Custom Software Development Services • 51 - 200 employees
Learn more about MDAEdgeexternal

$106K - $146K/yr

Full-time

Re-posted 20 days ago

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.

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