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Databricks Engineer Jobs in Washington (NOW HIRING)

GDIT

Databricks Engineer

Gaithersburg, MD · On-site

$140K - $189K/yr

No GDIT is seeking a Databricks Engineer to help build and operate modern data solutions supporting the NIA Data Enclave. In this role, you will design, develop, and optimize scalable data pipelines ...

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CMT Services Inc

Databricks Engineer

Adelphi, MD · On-site

Databricks Engineer Location: University of Maryland Global Campus 3501 University Blvd. East Adelphi, MD 20783 Period of Performance: 1 year 40 hours per week (no overtime). Position Summary: The ...

CMT Services Inc.

Databricks Engineer

Adelphi, MD · On-site

Databricks Engineer Location: University of Maryland Global Campus 3501 University Blvd. East Adelphi, MD 20783 Period of Performance: 1 year 40 hours per week (no overtime). Position Summary: The ...

CMT Services, Inc.

Databricks Engineer

Adelphi, MD · On-site

Databricks Engineer Location: University of Maryland Global Campus 3501 University Blvd. East Adelphi, MD 20783 Period of Performance: 1 year 40 hours per week (no overtime). Position Summary: The ...

Booz Allen Hamilton, Inc.

Databricks Engineer

Bethesda, MD · On-site

$62K - $141K/yr

We are seeking a hands-on Databricks Engineer to design, build, and operate scalable data and analytics solutions supporting government mission needs. This role requires strong practical experience ...

Booz Allen Hamilton

Databricks Engineer

Bethesda, MD · On-site

$62K - $141K/yr

Databricks Engineer The Opportunity: We are seeking a hands-on Databricks Engineer to design, build, and operate scalable data and analytics solutions supporting government mission needs. This role ...

Booz Allen Hamilton, Inc.

Databricks Engineer

Bethesda, MD · On-site

$62K - $141K/yr

Databricks Engineer The Opportunity: We are seeking a hands-on Databricks Engineer to design, build, and operate scalable data and analytics solutions supporting government mission needs. This role ...

Booz Allen Hamilton

Databricks Engineer

Washington, DC · On-site

$62K - $141K/yr

Databricks Engineer The Opportunity: We are seeking a hands-on Databricks Engineer to design, build, and operate scalable data and analytics solutions supporting government mission needs. This role ...

Deloitte

Sr Databricks Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Deloitte

Sr Databricks Data Engineer

Rosslyn, VA · On-site

$130K - $156K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Resource Point LLC

Databricks Developer

Bethesda, MD · On-site

Databricks Developer Location: Bethesda, MD Duration: 12 Months We are seeking a highly experienced Data Integration and Business Intelligence (BI) Developer with deep expertise in Databricks, AWS ...

KeyLogic, LLC

Data Engineer, Databricks

Washington, DC · On-site

$90K - $140K/yr

KeyLogic is seeking Databricks Engineers to join our growing team supporting the Department of Energy (DOE). The position requires U.S. Citizenship Position Requirements: * U.S. Citizenship * 2+ ...

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Databricks Engineer information

See Washington salary details

$67.4K

$126.4K

$229.9K

How much do databricks engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for databricks engineer in Washington is $126,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,200.00 and $150,100.00 per year, depending on experience, location, and employer.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

What are popular job titles related to Databricks Engineer jobs in Washington?

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

What job categories do people searching Databricks Engineer jobs in Washington look for?

The top searched job categories for Databricks Engineer jobs in Washington are:

What cities in Washington are hiring for Databricks Engineer jobs?

Cities in Washington with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Washington as of September 2026, with employment types broken down into 1% Internship, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,434 per year, or $60.8 per hour.

Databricks Engineer

Adelphi, MD • Remote

Noblesoft Technologies
Software Development • 51 - 200 employees
Learn more about Noblesoft Technologiesexternal

Contractor

Re-posted 21 days ago

Job description

Role: Databricks Engineer (with Validation/Testing experience)

Location: 100% remote (east coast hours)

Duration: 3-year project

 

Notes/Job Description:

The team is seeing many resumes that mention Databricks superficially, but they are specifically looking for a true Databricks expert—someone who knows the platform end‑to‑end, not just an analyst or light user.

This is a hands‑on engineering role, not an analytics position. The ideal candidate should be comfortable building custom utilities, writing Python and PySpark code, and troubleshooting complex data movement and validation issues independently.

Key Requirements

  • Deep Databricks expertise (developer‑level), not just exposure
  • Strong hands‑on experience with Databricks Medallion Architecture
    • Bronze / Silver / Gold (also referred to as Raw / Silver / Mark layers internally)
    • Experience validating and testing data as it moves across layers
  • Experience ingesting data from 10+ source systems into data lakes
  • Very strong with Databricks notebooks, Unity Catalog, Python, and PySpark
  • Ability to test and report on curated data layers and clearly explain QA/testing approaches
  • Experience with CI/CD in Databricks, including promotion of code vs. developer workflows
  • Familiarity with Playwright and TypeScript for testing is nice to have
  • Certifications are a plus, but not mandatory

Team & Process

  • Role is embedded within the Enterprise Data & Analytics Platform team
  • Must align with established QA and governance processes

Overall Takeaway They want a Databricks‑first engineer who has designed, built, tested, and operatedDatabricks pipelines in complex, multi‑source enterprise environments—not someone with Databricks listed as a secondary skill.