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Azure Databricks Jobs in Virginia (NOW HIRING)

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 1

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 ...

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 ...

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 ...

Navy Federal Credit Union

Principal Data Engineer

Vienna, VA · On-site

$114K - $138K/yr

Design, develop, and optimize scalable batch, near real-time, and real-time data pipelines using Spark, Python, SQL, Databricks, Microsoft Fabric, Azure Data Factory, and related Azure cloud services.

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 ...

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 ...

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 ...

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All JobsAzure Databricks JobsAzure Databricks Jobs in Virginia

Azure Databricks information

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How much do azure databricks jobs pay per hour?

As of Sep 11, 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 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 52% Full Time, and 48% Contract. Highlights an 100% In-person job distribution, with an average salary of $120,434 per year, or $57.9 per hour.

Senior Data Engineer

Mclean, VA • On-site

Guidehouse
Business Management Consulting • 10K+ employees
Learn more about Guidehouseexternal

$107K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 10 days ago

Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

Job description

Job Family:
Data Science & Analysis
Travel Required:
Up to 10%
Clearance Required:
Ability to Obtain Public Trust
What You Will Do:
  • 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 operational workloads.
  • Develop, maintain, and optimize scalable ETL/ELT pipelines using Databricks Workflows, Spark jobs, and Delta Lake to ensure reliability, performance, and enterprise-grade data quality.
  • Process large-scale structured and unstructured datasets using optimized batch and streaming pipelines leveraging Apache Spark, Delta Lake, Python, SQL, and Scala.
  • Collaborate with cross-functional teams to deliver enterprise solutions on Azure and support production deployments, monitoring, and operational excellence.
  • Implement data quality, performance tuning, and cost-optimization practices for data platforms and pipelines.

What You Will Need:
  • Must be able to OBTAIN and MAINTAIN a Federal or DoD "Public Trust" security clearance; candidates must obtain approved adjudication of clearance prior to onboarding with Guidehouse. Candidates with an ACTIVE "Public Trust" or higher-level clearance are preferred.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or equivalent experience.
  • FIVE (5) or more years of experience as a Data Engineer, including THREE (3) years delivering enterprise solutions on Azure, specifically using Azure Databricks and Azure-native data services.
  • Hands-on experience designing, building, and operating Azure Lakehouse architectures using Azure Databricks, ADLS Gen2, Azure Synapse Analytics, and Azure Data Factory.
  • Experience in Apache Spark, Delta Lake, Python, SQL, and Scala, with demonstrated ability to process large-scale structured and unstructured datasets using optimized batch and streaming pipelines.
  • Experience designing, developing, and maintaining scalable ETL/ELT pipelines using Databricks Workflows, Spark jobs, and Delta Lake, ensuring reliability, performance, and data quality at enterprise scale.
  • Experience with real-time and batch data processing.

What Would Be Nice To Have:
  • Azure certifications (for example, Azure Data Engineer) or equivalent cloud/data platform certifications.
  • Experience implementing CI/CD for data engineering, MLOps pipelines, or data platform automation.
  • Familiarity with data governance, observability, and cost-optimization practices at scale.

What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Parental Leave
  • 401(k) Retirement Plan
  • Group Term Life and Travel Assistance
  • Voluntary Life and AD&D Insurance
  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
  • Transit and Parking Commuter Benefits
  • Short-Term & Long-Term Disability
  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Care.com annual membership
  • Employee Assistance Program
  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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