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Azure Databricks Engineer Jobs (NOW HIRING)

$150 - $200/hr

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 ...

Lead Data Engineer

Cincinnati, OH · On-site

$98K - $129K/yr

Azure Databricks PySpark Delta Lake Unity Catalog CI/CD (Data Engineering) Enterprise Data Architecture Interview Process: Face-to-Face interview required Travel expenses will be covered This role ...

Databricks Engineer

Minneapolis, MN · On-site

$60K - $135K/yr

The Azure Databricks Engineer will design and deliver scalable Lakehouse solutions on Azure using Databricks, Delta Lake, PySpark, Spark SQL, ADLS Gen2, ADF, Synapse, and modern data governance ...

Databricks Engineer

Minneapolis, MN · On-site

$60K - $135K/yr

The Azure Databricks Engineer will design and deliver scalable Lakehouse solutions on Azure using Databricks, Delta Lake, PySpark, Spark SQL, ADLS Gen2, ADF, Synapse, and modern data governance ...

Azure Databricks Architect / SME

Bellevue, WA · On-site

$71.75 - $93.50/hr

Integrate Azure Databricks with other Azure services eg Azure Data Lake Azure Synapse Azure Data ... Provide technical leadership and mentorship to the data engineering team fostering a culture of ...

Azure Databricks Architect

Jersey City, NJ · On-site

$66.25 - $86.25/hr

Azure Databricks Architect Location : Iselin, NJ (Hybrid /Local candidates only ) The Databricks ... Engineering & Implementation * Build robust ETL/ELT pipelines with Databricks notebooks, jobs, and ...

Azure Databricks Admin Type/Duration: Full time//Permanent Location: Plano, TX/Richardson, TX (5 ... DevOps, and CI/CD pipelines • Knowledge of cloud security, networking, and identity management ...

Showing results 41-60

Azure Databricks Engineer information

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$39K

$101.8K

$137.5K

How much do azure databricks engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for azure databricks engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

How much does an Azure Databricks engineer make?

An Azure Databricks engineer's salary typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in big data and cloud environments may earn higher compensation.

What cities are hiring for Azure Databricks Engineer jobs?

Cities with the most Azure Databricks Engineer job openings:

What states have the most Azure Databricks Engineer jobs?

States with the most job openings for Azure Databricks Engineer jobs include:

What are popular job titles related to Azure Databricks Engineer jobs?

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

Infographic showing various Azure Databricks Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

Data Engineer / Databricks Engineer-Senior

On-site

Nationwide IT Services, Inc.
IT Services • 51 - 200 employees

$150 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

Data Engineer / Databricks Engineer-Senior

Location: Hybrid - 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 Requirement: Active SECRET security clearance

Position Summary

Nationwide 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.

Benefits
  • 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
  • $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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