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Azure Databricks Jobs in Virginia (NOW HIRING)

Beyond SOF

Agentic Engineer.

Richmond, VA · On-site

$106K - $127K/yr

Experience with Azure services including Blob Storage, Data Lakes, Databricks, Azure Machine Learning, Azure Computer Vision, Azure Video Indexer, Azure OpenAI, Azure Media Services, and Azure AI ...

Kareem Networks LLC

Be Seen First

Databricks Architect

Springfield, VA · On-site

$140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Databricks Architect plays a critical role in designing and implementing scalable data ... Integrate cloud platforms such as AWS, Azure, or GCP into data workflows * Develop and optimize ETL ...

Kareem Networks LLC

Be Seen First

Databricks Architect

Springfield, VA · On-site

$140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Databricks Architect plays a critical role in designing and implementing scalable data ... Integrate cloud platforms such as AWS, Azure, or GCP into data workflows * Develop and optimize ETL ...

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 ...

Zortech Solutions

Agentic Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Experience with Azure Blob Storage, Azure Data Lakes, Azure Databricks * Experience implementing Azure Machine Learning, Azure Computer Vision, Azure Video Indexer, Azure OpenAI models, Azure Media ...

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 ...

DLA Piper

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

ICF

Data Engineer (Databricks)

Reston, VA · Remote

$119K - $143K/yr

Databricks on Azure for data engineering and ML pipeline support. * SQL, Python, Spark, Tableau. * Git, Jira, CI/CD tools (e.g., Jenkins, CodeBuild). * Jira, Confluence, SharePoint. * Mural, Miro, or ...

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 ...

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All JobsAzure Databricks JobsAzure Databricks Jobs in Virginia

Azure Databricks information

See Virginia salary details

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How much do azure databricks jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for azure databricks in Virginia is $57.90, according to ZipRecruiter salary data. Most workers in this role earn between $52.45 and $65.05 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 Virginia?

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

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

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

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

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

Azure Databricks jobs near you
Infographic showing various Azure Databricks job openings in Virginia as of August 2026, with employment types broken down into 83% Full Time, 11% Part Time, and 6% Contract. Highlights an 73% Physical, 10% Hybrid, and 17% Remote job distribution, with an average salary of $120,434 per year, or $57.9 per hour.

Agentic Engineer.

Beyond SOF

Richmond, VA • On-site

$106K - $127K/yr

Full-time

Re-posted 15 days ago

Job description

Interview Mode: Either Phone or In Person
The client is seeking a highly skilled Agentic Engineer to design, develop that solve real-world problems. The ideal candidate will have experience in designing data process to support agentic systems. ensure data quality and facilitating interaction between agents and data.
Responsibilities
  • Design and develop data pipelines for agentic systems; develop robust data flows to handle complex interactions between AI agents and data sources.
  • Train and fine-tune large language models (LLMs).
  • Design and build data architecture, including databases and data lakes, to support various data engineering tasks.
  • Develop and manage Extract, Load, Transform (ELT) processes to ensure data is accurately and efficiently moved from source systems to analytical platforms used in data science.
  • Implement data pipelines that facilitate feedback loops, allowing human input to improve system performance in human-in-the-loop systems.
  • Work with vector databases to store and retrieve embeddings efficiently.
  • Collaborate with data scientists and engineers to preprocess data, train models, and integrate AI into applications.
  • Optimize data storage and retrieval for high performance.
  • Conduct statistical analysis to identify trends and patterns and create data formats from multiple sources.
Qualifications
  • Strong data engineering fundamentals.
  • Experience with big data frameworks such as Apache Spark and Azure Databricks.
  • Ability to train LLMs using structured and unstructured datasets.
  • Understanding of graph databases.
  • Experience with Azure services including Blob Storage, Data Lakes, Databricks, Azure Machine Learning, Azure Computer Vision, Azure Video Indexer, Azure OpenAI, Azure Media Services, and Azure AI Search.
  • Proficient in determining effective data partitioning criteria and implementing partition schemas using Spark.
  • Understanding of core machine learning concepts and algorithms.
  • Familiarity with cloud computing concepts and practices.
  • Strong programming skills in Python and experience with AI/ML frameworks.
  • Proficiency in working with vector databases and embedding models for retrieval tasks.
  • Expertise in integrating with AI agent frameworks.
  • Experience with cloud-based AI services, especially Azure AI.
  • Proficient with version control systems such as Git.
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Required / Desired Amount Experience Understanding the Big data technologies Required 5 Years Experience developing ETL and ELT pipelines Required 5 Years Experience with Spark, GraphDB, Azure Databricks Required 5 Years Experience training LLMs with structured and unstructured data sets Required 4 Years Experience in Data Partitioning and Data conflation Required 3 Years Experience with GIS spatial data Required 3 Years
Question 1 Commonwealth of Virginia security policies prohibit the use of offshore IT contractors. Do you attest to the fact that your candidate will physically reside within the US for the duration of the assignment? Question 2 Please list candidate's email address.

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