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Azure Databricks Jobs in Washington, DC (NOW HIRING)

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 ...

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 ...

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

Washington, DC

$129K - $155K/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 ...

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 ...

ICF International, Inc.

Data Engineer (Databricks)

Reston, VA · On-site

$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 ...

Steampunk

Data Engineer - Databricks

Mclean, VA

$115K - $139K/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 ...

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How much do azure databricks jobs pay per hour?

As of Aug 15, 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, leading to strong demand for professionals skilled in its use. Roles often require knowledge of Spark, cloud computing, and data pipeline development, making Azure Databricks expertise valuable in the data industry.

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 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?

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.

Does Azure Databricks allow remote work?

Azure Databricks is a cloud-based data analytics platform used by data engineers and data scientists, and remote work is common for roles involving this technology. Many organizations enable remote work for Azure Databricks professionals, especially those with skills in cloud computing, data engineering, and collaboration tools. However, specific remote work policies depend on the employer and job role.

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.

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Azure Databricks jobs near you
Infographic showing various Azure Databricks job openings in Washington, DC as of August 2026, with employment types broken down into 86% Full Time, 3% Part Time, and 11% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $137,584 per year, or $66.1 per hour.

Medicaid Data Systems Analyst

MDAEdge

Washington, DC • On-site

Full-time

Re-posted yesterday

Job description

Job Summary:
MDAEdge is seeking a Medicaid Data Systems Analyst to support data modernization efforts. The role involves leading the implementation of an Enterprise Data Catalog and ensuring data quality while collaborating on cost optimization initiatives.
Responsibilities:
• Lead Enterprise Data Catalog implementation (e.g., Microsoft Purview or Unity Catalog), including business glossary ownership for Medicaid data.
• Document and verify end-to-end data lineage from raw MMIS sources through Databricks transformations to PowerBI reports.
• Organize catalog for easy discovery by policy analysts, highlighting dataset sensitivity (PHI/PII) and update frequency.
• Monitor Data Quality dashboards, alert on MMIS schema changes causing data drift or pipeline failures.
• Collaborate on FinOps to analyze Azure consumption and purge unused datasets for cost optimization.
• Validate Infrastructure as Code deployments for Row-Level Security and masking rules.
• Audit and translate legacy SSIS logic from TFS into business requirements 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
• 5+ years of experience in Expert T-SQL for data auditing and parity testing between SQL Server and Azure Synapse
• 5+ years of hands-on experience with SSIS, SSAS, SSRS, Azure Databricks, and Azure Synapse
• 5+ years of MMIS data experience, including claims (837), eligibility (270/271), and T-MSIS reporting
• 5+ years of familiarity with TFS for legacy logic review and Azure DevOps for project tracking
• 5+ years of industry certification or training in relevant IT products/platforms/services
• Strong consulting leadership and full project lifecycle delivery
• Metadata architecture and governance expertise
• Collaboration with engineers, architects, and stakeholders on reliability, FinOps, and validation
• Native or bilingual English proficiency
Preferred:
• DMV-area resident preferred
• Certification in Data Governance (e.g., CDMP) or Cloud Fundamentals (e.g., Azure AZ-900)
• Experience with Power BI or Tableau for data validation
• Hands-on with Microsoft Purview, Collibra, Informatica, or Alation
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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