1

Databricks Engineer Jobs in Virginia (NOW HIRING)

Databricks Data Engineer

Manassas, VA Ā· 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 ...

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 ...

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 ...

Sr Databricks Data Engineer

Arlington, VA Ā· 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 ...

Databricks Data Engineer

Mclean, VA Ā· 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

$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 ...

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 ...

Databricks Data Engineer

Arlington, VA Ā· 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 ...

Data Engineer - Databricks

Mclean, VA Ā· 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 ...

P-1366 About Databricks At Databricks, we are passionate about enabling data teams to solve the ... Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical ...

next page

Showing results 1-20

Databricks Engineer information

See Virginia salary details

$59K

$110.7K

$201.3K

How much do databricks engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for databricks engineer in Virginia is $110,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,800.00 and $131,400.00 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 cities in Virginia are hiring for Databricks Engineer jobs? Cities in Virginia with the most Databricks Engineer job openings:
Sr. Manager - Production Engineering

Sr. Manager - Production Engineering

Databricks

Mclean, VA

Other

Posted 5 days ago


Job description

RDQ427R268

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and driven by customer obsession, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Customers trust Databricks with their most sensitive data and workloads, and Security Infrastructure Operations (SIO) is the team that sustains and improves Databricks' cloud security posture across every cloud service provider we operate in. We are looking for a Senior Engineering Manager to lead this team and drive the strategy for how cloud identity, access, and environment changes are reviewed, executed, and automated at scale. You will own the operational backbone of Databricks' cloud security, spanning IAM policy enforcement, CSP account provisioning, compliance evidence collection, and security data pipelines. Your goal is to ensure that Databricks engineers can move fast without compromising security. This is a high-visibility, cross-functional leadership role that partners with Security, Security Engineering, IT and engineering teams across the company.

The impact you will have:

  • Build, lead, and grow a high-performing team of engineers responsible for cloud IAM operations, CSP environment management, security data pipelines, and compliance operations across AWS, Azure, and GCP.
  • Define and execute the strategy and roadmap for automating cloud access assignment, approval workflows, and IAM policy enforcement to reduce manual toil while strengthening security controls.
  • Own the end-to-end lifecycle of CSP account, subscription, and project provisioning, including secure onboarding of acquired companies' cloud environments into Databricks' organizations with minimal disruption.
  • Drive compliance programs including Cloud User Access Reviews, audit evidence collection, and IAM policy alignment to meet SOC2, FedRAMP, and other regulatory requirements.
  • Ensure the reliability and timeliness of security data pipelines that ingest CSP audit logging, enabling downstream detection and response capabilities.
  • Partner closely with Security, Security Engineering, and IT to interpret and operationalize security policies, ensuring consistent enforcement with high transparency and minimal friction for engineering teams.
  • Lead complex, multi-quarter initiatives spanning multiple teams and external partners, demonstrating leverage by executing through technical leads and developing future leaders on the team.
  • Lead GovCloud escort operations, including staffing a 24x7 on-call rotation for SEV0 incidents, and continuously improving operational resilience.

What we look for:

  • 8+ years of experience in security engineering, cloud infrastructure, or production/site reliability engineering, with deep hands-on expertise in at least one major cloud provider (AWS, Azure, or GCP).
  • 5+ years of engineering management experience, including building teams, developing senior engineers and managers, and navigating complex people situations such as promotions and performance management.
  • Strong technical understanding of cloud IAM (policies, principals, roles, federation), CSP organizational structures, and identity governance frameworks.
  • Demonstrated success leading operational teams that balance high-throughput request execution with automation and process improvement.
  • Experience with compliance and audit workflows (SOC2, FedRAMP, ISO, or similar), including evidence collection and access review programs.
  • Track record of driving cross-functional initiatives that require influencing without direct authority across security, infrastructure, and engineering organizations.
  • Strong communication and stakeholder management skills, with the ability to translate security policy into practical operational processes that engineering teams can follow.
  • BS (or higher) in Computer Science, Information Security, or a related technical field.