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Databricks Engineer Jobs in Washington, DC (NOW HIRING)

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 ...

Deloitte

Databricks Engineering Consultant

Rosslyn, VA · On-site

Work you'll do As a Data Engineer II on the AI & Data team, you will be responsible for: * Designing, developing, testing, and maintaining scalable data pipelines and data products on the Databricks ...

Berkley

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production grade data pipelines in modern cloud environments, enabling analytics, AI, ML, and decision ...

Berkley

Databricks Data Engineer

Manassas, VA

$114K - $137K/yr

The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production grade data pipelines in modern cloud environments, enabling analytics, AI, ML, and decision ...

Berkley

Databricks Data Engineer

Manassas, VA

$114K - $137K/yr

The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production grade data pipelines in modern cloud environments, enabling analytics, AI, ML, and decision ...

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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 Jul 15, 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 engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

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 job market for qualified candidates.

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 $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 industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

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
Databricks Engineer with Security Clearance

Databricks Engineer with Security Clearance

Razor

Washington, DC • On-site

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Overview Razor is supporting a rapidly growing Databricks practice with dozens of funded openings supporting both commercial and federal programs for our client. Demand is significantly outpacing available talent, and we are actively seeking hands-on Databricks Engineers / Developers who are ready to contribute immediately. This role is ideal for professionals with strong real-world Databricks platform experience who enjoy building scalable data and analytics solutions in cloud environments. Education & Certification Requirements * Bachelor's degree preferred * Databricks Professional Certification strongly preferred Clearance Requirements Ability to obtain and maintain a Public Trust clearance TS candidates are strongly encouraged to apply Remote Requirements Primarily remote Occasional client travel may be required Responsibilities * Develop and maintain data pipelines, analytics workflows, and reporting solutions within Databricks * Build scalable data processing solutions using Apache Spark and Databricks tools * Support ingestion, transformation, and optimization of structured and unstructured data * Create dashboards, analytics models, and reporting capabilities for business and mission users * Collaborate with engineering, cloud, and client teams to deliver modern data solutions * Participate in troubleshooting, tuning, and performance optimization efforts * Support Agile delivery teams in fast-paced environments Qualifications * 2-3 years of hands-on Databricks experience * Direct experience working within the Databricks platform in production environments * Strong experience with Apache Spark and at least one of the following: Python, SQL, or Scala * Experience building analytics, reporting, or data engineering solutions * Ability to work independently in client-facing environments * Eligible to obtain and maintain a Public Trust clearance Desired Skills * Experience supporting government or highly regulated environments * Experience with cloud platforms such as AWS, Azure, or Google Cloud * Strong communication skills and ability to work across technical and non-technical teams * Comfort working in fast-moving delivery environments with immediate project demand Razor is an EEO Employer Razor is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected status under federal, state, or local law. Razor Benefits Overview Razor offers a competitive benefits package which may include medical, dental, vision, life insurance, short- and long-term disability, paid time off, paid holidays, and a 401(k) retirement plan. Benefits may vary based on position and contract requirements.

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