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Databricks Engineer Jobs in Washington, DC (NOW HIRING)

Sr Databricks Data Engineer

Arlington, VA · On-site

$120K - $165K/yr

Share this job: Share: Share Sr Databricks Data Engineer with Facebook Share Sr Databricks Data Engineer with LinkedIn Share Sr Databricks Data Engineer with Twitter Caution against fraudulent job ...

Azure/Databricks Infrastructure Engineer

Mclean, VA · On-site

$56.25 - $75.25/hr

As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data ...

Databricks Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Databricks Data Engineer

Rosslyn, VA · On-site

$130K - $156K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Databricks Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

We are seeking a highly skilled Senior Databricks Platform Engineer to design, implement, and maintain our enterprise-level Databricks platform supporting a federal customer organization's unified ...

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Senior Databricks Platform Engineer

Quantico, VA · On-site

$112K - $154K/yr

We are seeking a highly skilled Senior Databricks Platform Engineer to design, implement, and maintain our enterprise-level Databricks platform supporting a federal customer organization's unified ...

Senior Databricks Platform Engineer

Arlington, VA · On-site

$120K - $165K/yr

Overview/ Job Responsibilities We are seeking a highly skilled Senior Databricks Platform Engineer to design, implement, and maintain our enterprise-level Databricks platform supporting a federal ...

Data Engineer - Databricks

Mclean, VA · On-site

$110K - $160K/yr

Overview We are looking for seasoned a Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks. We are looking for more ...

Data Engineer - Databricks

Mclean, VA · On-site

$110K - $160K/yr

We are looking for seasoned a Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks.We are looking for more than just a ...

Overview We are looking for seasoned a Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks.We are looking for more ...

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Showing results 1-20

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:
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.
Sr Databricks Data Engineer

Sr Databricks Data Engineer

Deloitte

Arlington, VA • On-site

$120K - $165K/yr

Full-time

Posted 26 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

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