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Azure Databricks Jobs in Washington, DC (NOW HIRING)

RapidIT, Inc

Data Scientist

Vienna, VA · On-site

... Azure, Databricks, AWS, or Hadoop Familiarity with project management tools such as Azure Dev Ops (ADO), or JIRA is a plus Technical writing skills Strong communication and data storytelling ...

Quantum Vision

Data Architect

Vienna, VA · On-site

$64 - $82.25/hr

Databricks: 5 Years * Python Scripting: 5 Years * Azure DevOps: 3 Years * SharePoint: 3 Years * Strong interpersonal skills and the ability to work effectively with diverse teams * Experience in ...

ECS

Sr. Databricks Consultant

Fairfax, VA · On-site +1

$175K - $250K/yr

Integrate Databricks with cloud platforms (AWS, Azure, or GCP). * Implement data governance, security, and compliance standards. * Collaborate with data scientists, analysts, and business ...

Dlapiper

Data Engineer

Washington, DC · On-site

$129K - $155K/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 ...

Dlapiper

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 ...

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 ...

CMT Services, Inc.

Databricks Engineer

Adelphi, MD · On-site

$100 - $125/hr

Databricks Engineer Location: University of Maryland Global Campus, 3501 University Blvd. East ... Architect and manage data lakes on Azure Data Lake Storage (ADLS) or Amazon S3, and design ...

ECS

Sr. Databricks Consultant - Public Trust

Fairfax, VA · On-site +1

$175K - $250K/yr

Integrate Databricks with cloud platforms (AWS, Azure, or GCP). * Implement data governance, security, and compliance standards. * Collaborate with data scientists, analysts, and business ...

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 ...

Steampunk

Data Engineer - Databricks

Mclean, VA

$125K - $160K/yr

Alternatively Azure, GCP). * Key must have skill sets - Databricks, SQL, PySpark/Python, AWS * Support an Agile software development lifecycle * You will contribute to the growth of our AI & Data ...

Revature

Data Engineer - Databricks

Washington, DC · On-site

$129K - $155K/yr

Revature is hiring experienced data engineers to join a large-scale Databricks platform build ... Experience with Git and CI/CD (Jenkins, GitHub Actions, Azure DevOps, GitLab, or similar) * Working ...

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All JobsAzure Databricks JobsAzure Databricks Jobs in Washington, DC

Azure Databricks information

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$66

$90

How much do azure databricks jobs pay per hour?

As of Sep 8, 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.

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, 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 September 2026, with employment types broken down into 87% Full Time, 6% Part Time, 1% Temporary, and 6% Contract. Highlights an 74% Physical, 8% Hybrid, and 18% Remote job distribution, with an average salary of $137,584 per year, or $66.1 per hour.

Data Scientist

RapidIT, Inc

Vienna, VA • On-site

Other

Posted 5 days ago

Job description

Mid-Level Data Scientist
Location: Vienna, VA (hybrid)
Position Type: Contract

Qualifications
3-7 years of experience (mid-level) in data science, statistics, and data analytics
Ability to work with moderate to minimal supervision
Strong programming abilities in SQL, Python, PySpark, R, or similar languages in data exploration, data preparation, modeling, prediction, simulation, and statistical analysis
Experience with machine learning techniques and tools to build a variety of models, including logistic regression, XGBoost, neural networks, NLP, and clustering
Ability to use data and cloud environments such as Azure, Databricks, AWS, or Hadoop
Familiarity with project management tools such as Azure Dev Ops (ADO), or JIRA is a plus
Technical writing skills
Strong communication and data storytelling presentation skills of technical material
Ability to collaborate and build relationships
Required: Bachelor’s degree in data science, statistics, economics, mathematics, computer science, engineering, or degrees in similar quantitative fields
Desired: Master’s degree in data science, statistics, mathematics, or degrees in similar quantitative fields

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