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Databricks Engineer Jobs in Washington, DC (NOW HIRING)

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

Hyattsville, 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 ...

Idexcel Inc.

Databricks Engineer

Washington, DC

Databricks Engineer Location: Wilmington, DE / Philadelphia, PA / Washington, DC (Local Candidates Only) Duration: 12+ Months Must have "Databricks Certified Data Engineer Professional certification ...

Guidehouse

Databricks Engineer

Arlington, VA · On-site

Guidehouse is seeking a Databricks Engineer to join our AI and Data Defense and Security team to support client projects involving large-scale data pipelines, troubleshooting production workloads ...

VIVA USA INC

Databricks Engineer

MD · On-site +1

Position Overview Databricks Engineer The Person You are a detail-oriented and analytical problem solver who enjoys tackling complex data challenges. You communicate clearly and collaborate ...

Guidehouse

Databricks Engineer

Arlington, VA

Guidehouse is seeking a Databricks Engineer to join our AI and Data Defense and Security team to support client projects involving large‑scale data pipelines, troubleshooting production workloads ...

Guidehouse

Databricks Engineer

Arlington, VA

Guidehouse is seeking a Databricks Engineer to join our AI and Data Defense and Security team to support client projects involving largescale data pipelines, troubleshooting production workloads, and ...

Booz Allen Hamilton

Mid Databricks Engineer

Mclean, VA

$62K - $141K/yr

R0232557 Databricks Engineer, Mid The Opportunity: As a Data Engineer on the Databricks platform at Booz Allen, you'll support mission-critical data initiatives for defense, intelligence, and civil ...

Booz Allen Hamilton

Databricks Engineer, Mid

Mclean, VA

$62K - $141K/yr

Databricks Engineer, Mid The Opportunity: As a Data Engineer on the Databricks platform at Booz Allen, you'll support mission-critical data initiatives for defense, intelligence, and civil clients.

Plateau Software Inc

Azure Databricks Engineer

Fairfax, VA · On-site

$96K - $132K/yr

Description Plateau GRP is seeking a highly skilled Azure Databricks Engineer to support a large-scale data modernization initiative for the Federal Deposit Insurance Corporation (FDIC). The selected ...

Deloitte

Sr Databricks Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

As a Senior Consultant - 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 ...

Deloitte

Sr Databricks Data Engineer

Rosslyn, VA · On-site

$130K - $156K/yr

As a Senior Consultant - 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 ...

Deloitte

Sr Databricks Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

As a Senior Consultant - 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 ...

Deloitte

Sr Databricks Data Engineer

Arlington, VA · On-site

$120K - $165K/yr

As a Senior Consultant - Databricks Engineer, you will design and optimize cloud-based data engineering solutions, working closely with business and technology leaders to drive measurable business ...

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Showing results 1-20

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Washington, DC

Databricks Engineer information

See Washington, DC salary details

$67.1K

$126K

$229.1K

How much do databricks engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for databricks engineer in Washington, DC is $125,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $149,500.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Databricks Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Engineer can be competitive, as the role requires strong skills in big data technologies, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering concepts to succeed in the hiring process.

What is the salary of engineer in Databricks?

The salary of a Databricks Engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on company size and industry demand.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong career choice with good job prospects.

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.

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, and why are they important?

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 popular job titles related to Databricks Engineer jobs in Washington, DC? For Databricks Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Washington, DC look for? The top searched job categories for Databricks Engineer jobs in Washington, DC are:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Washington, DC as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $125,959 per year, or $60.6 per hour.
Databricks Engineer

Databricks Engineer

Noblesoft Technologies

Adelphi, MD • Remote

Contractor

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.