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Day Azure Databricks Jobs in Washington, DC (NOW HIRING)

Data Engineer

Mclean, VA

$115K - $139K/yr

... day. The Company has experienced rapid growth over the past 3 years and recently received a ... Build, optimize, and maintain data processing solutions using Azure Databricks and lakehouse ...

Data Engineer - Databricks

Washington, DC · On-site

$129K - $155K/yr

You join Revature as a full-time W-2 employee with full benefits on day one. We invest in ten weeks ... Experience with Git and CI/CD (Jenkins, GitHub Actions, Azure DevOps, GitLab, or similar) * Working ...

Integrate Databricks solutions with AWS, Azure, and Google Cloud Platform cloud environments ... 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a ...

Align the Lakehouse security architecture with existing enterprise Azure Active Directory ... This position requires working onsite 4 days a week at out USPS customer site in Arlington, VA.

Data Engineer (Databricks)

Washington, DC · On-site

$129K - $155K/yr

Competitive pay from day one of training. Compensation is discussed early in the process. * Medical ... At least one Associate-level or higher AWS, Azure, or Google Cloud Platform certification * Able to ...

... to-day monitoring of Azure Data Lake pipelines and operational support activities • Ensure ... Databricks, Azure Data Lake Storage Gen2, and Generative and Agentic AI concepts • High school ...

Data Engineer

Hanover, MD · On-site

$113K - $136K/yr

Hanover, MD 21076 (Onsite with Hybrid - 2 Days Remote & 3- Days Onsite) Duration: Long Term ... Experience with Azure Synapse, Azure Data Factory, Azure Databricks, and Azure Stream Analytics.

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Day Azure Databricks information

See Washington, DC salary details

$12

$66

$90

How much do day azure databricks jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for day 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 the difference between Day Azure Databricks vs Data Engineer?

AspectDay Azure DatabricksData Engineer
Primary FocusDeveloping and managing data workflows using Azure Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsAzure certifications, Spark, SQL, Python, data analyticsSQL, ETL tools, cloud platforms, programming languages like Python or Java
Work EnvironmentCloud-based, collaborative data platform within Azure ecosystemVaries; cloud, on-premises, or hybrid environments

Day Azure Databricks specialists focus on leveraging the Azure platform for data processing, while Data Engineers build and maintain the data infrastructure across various environments. Both roles require strong technical skills, but their scope and tools differ, with Day Azure Databricks centered on the Databricks platform and Data Engineers on broader data pipeline development.

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 Day Azure Databricks jobs in Washington, DC?

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

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

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

Infographic showing various Day Azure Databricks job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 24% Part Time, and 5% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $137,584 per year, or $66.1 per hour.

Data Engineer / Databricks Engineer-Senior

Nationwide IT Services

MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Data Engineer / Databricks Engineer-Senior  LocationHybrid - Air National Guard Readiness Center (ANGRC), Joint Base Andrews, MD; up to 3 telework days per week. Remote work may be authorized by the Government on an exception basis. Occasional travel may be required.Security Clearance RequirementActive SECRET security clearance Position SummaryNationwide IT Services, NIS, is seeking a  Senior Data Engineer / Databricks Engineer to design, build, test, deploy, optimize, and sustain enterprise data pipelines supporting the ANG CDAO data ecosystem for a potential opportunity. The engineer will work primarily with Azure Databricks, SQL, Python, Git-based CI/CD, and integrated DoD/DAF/ANG source systems to provide reliable ingestion, transformation, orchestration, data quality, monitoring, and technical documentation.
 Key Responsibilities
  • Design, build, test, deploy, and maintain automated and manual ETL/ELT pipelines supporting approximately 15–20 DAF, ANG, and DoD source systems.
  • Implement ingestion patterns for structured, unstructured, API, batch, and streaming data; support near-real-time data currency requirements where applicable.
  • Develop SQL and Python transformation logic to cleanse, standardize, deduplicate, validate, and enrich enterprise data in accordance with CDAO data standards and business rules.
  • Build and operate Azure Databricks jobs, orchestration sequences, triggers, and workload schedules while optimizing execution performance and cloud-compute utilization.
  • Implement automated data-quality checks, reconciliation controls, invalid-record quarantine, monitoring, logging, alerting, and recoverable error-handling patterns.
  • Triage critical pipeline failures, perform root-cause analysis, and restore service within required response windows.
  • Maintain pipeline code, configuration, infrastructure/deployment scripts, and test assets in the official Git repository and execute automated CI/CD build and security testing before release.
  • Create and maintain data lineage, source-to-target mappings, architecture documentation, operational runbooks, and quarterly technical-documentation updates.
  • Support data warehouse/lake administration, query optimization, Power BI dataflows, and secure cross-platform data movement as needed.
Required Qualifications
  • Demonstrated hands-on experience developing production-grade ETL/ELT pipelines using Azure Databricks or comparable Spark-based data platforms.
  • Advanced SQL and Python skills for data transformation, validation, automation, troubleshooting, and performance optimization.
  • Experience with batch and streaming ingestion, APIs, schema management, orchestration, monitoring, data quality, and failure recovery.
  • Experience with Git-based version control and CI/CD practices for data-engineering solutions.
  • Knowledge of data warehousing/lakehouse patterns, indexing/query optimization, access control, encryption, and secure handling of sensitive/CUI data.
  • Must satisfy applicable DoD/DAF security, cybersecurity-awareness, CUI, OPSEC, and access-training requirements.
Preferred Qualifications
  • Experience extracting and transforming data from DAF/DoD systems such as MILPDS, DCPDS, AFRISS, CHRIS, CMS, CRIS, GFEBS, DEAMS, REMIS, AROWS, M4S, iEMS, or Lockheed Martin Tableau.
  • Experience integrating Databricks workloads with Palantir Foundry, Microsoft Azure, Advana/WDP, Power BI, or AskSage.
Why Join Nationwide IT Services?Nationwide IT Services is a trusted government contractor supporting Department of Defense customers. This role supports the Air National Guard Chief Data and Artificial Intelligence Office (CDAO), helping sustain and advance enterprise data, business intelligence, application, and AI capabilities that enable faster, data-driven mission decisions.
Our benefits package includes medical, dental, and vision insurance, life and disability insurance, a 401(k) plan with employer match, paid holidays, PTO (sick/vacation), commuter benefits, employee assistance program (EAP), educational reimbursement, and pet insurance.
Salary range $125,000 to $178,000 annually 
The salary range is a general guideline. We consider several factors when determining base salary offers, including the position's scope and responsibilities, the candidate's experience, education, and skills, and current market conditions.
 

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