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Databricks Engineer Jobs in Virginia (NOW HIRING)

Senior Data Engineer - Databricks

Mclean, VA ยท On-site

$140K - $180K/yr

Overview We are looking for a seasoned Senior 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 ...

Overview We are looking for a seasoned Senior 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 ...

We are looking for a seasoned Senior 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 ...

Senior Data Engineer - Databricks

Mclean, VA ยท On-site

$125K - $165K/yr

We are looking for seasoned Senior 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 ...

Senior Data Engineer - Databricks

Mclean, VA ยท On-site +1

$125K - $165K/yr

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

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

Data Engineer (Databricks) - Remote USA

Reston, VA ยท Remote

$119K - $143K/yr

Databricks on Azure for data engineering and ML pipeline support. * SQL, Python, Spark, Tableau. * Git, Jira, CI/CD tools (e.g., Jenkins, CodeBuild). * Jira, Confluence, SharePoint. * Mural, Miro, or ...

Databricks is looking for a Sr Technical Solution Engineer to join our Cleared Engineering team in McLean, VA. This team sits at the critical intersection of core infrastructure operations and active ...

Senior Data Engineer (Databricks)

Ashburn, VA ยท On-site

$108K - $147K/yr

Provide technical guidance and mentorship to data engineering teams. * Stay updated with the latest industry trends and best practices in data architecture, Databricks, cloud data warehouses, AWS and ...

Data Engineer - Databricks

Mclean, VA ยท On-site

$110K - $160K/yr

We are looking for more than just a "Data Engineer", but a technologist with excellent ... Key must have skill sets - Python, SQL, Databricks, AWS Data Services * Support an Agile software ...

Data Engineer - Databricks

Mclean, VA ยท On-site

$110K - $160K/yr

We are looking for seasoned Data Engineer to work with our team and our clients to develop ... Key must have skill sets - Python, SQL, Databricks, AWS Data Services * Support an Agile software ...

Senior Data Engineer (Databricks)

Ashburn, VA ยท On-site

$108K - $147K/yr

Provide technical guidance and mentorship to data engineering teams. * Stay updated with the latest industry trends and best practices in data architecture, Databricks, cloud data warehouses, AWS and ...

Data Engineer - Databricks

Mclean, VA ยท On-site

$110K - $160K/yr

We are looking for more than just a "Data Engineer", but a technologist with excellent ... Key must have skill sets - Python, SQL, Databricks, AWS Data Services * Support an Agile software ...

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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:

Senior Data Engineer - Databricks

Steampunk

Mclean, VA โ€ข On-site

$140K - $180K/yr

Other

Posted 27 days ago


Job description

Overview
We are looking for a seasoned Senior 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 "Senior Data Engineer", we are looking for a technologist with excellent communication and customer service skills and a passion for data and problem solving.
Contributions
  • Lead and architect migrations of data using Databricks with focus on performance, reliability, and scalability.
  • Assess and understand ETL jobs, workflows, data marts, BI tools, and reports
  • Address technical inquiries concerning customization, integration, enterprise architecture and general feature/functionality of data products
  • Experience working with database/data warehouse/data mart solutions in cloud (Preferably AWS. Alternatively Azure, GCP).
  • Key must have skill sets - Databricks, SQL, PySpark/Python, AWS
  • Support an Agile software development lifecycle
  • You will contribute to the growth of our AI & Data Exploitation Practice!

Qualifications
Required
  • Ability to hold a position of public trust with the US government.
  • 5-7 years industry experience coding commercial software and a passion for solving complex problems.
  • 5-7 years direct experience in Data Engineering with experience in tools such as:
    • Big data tools: Databricks, Apache Spark, Delta Lake, etc.
    • Relational SQL (Preferably T-SQL. Alternatively pgSQL, MySQL).
    • Data pipeline and workflow management tools: Databricks Workflows, Airflow, Step Functions, etc.
    • AWS cloud services: Databricks on AWS, S3, EC2, RDS (or Azure equivalents).
    • Object-oriented/object function scripting languages: PySpark/Python, Java, C++, Scala, etc.
    • Experience working with Data Lakehouse architecture and Delta Lake/Apache Iceberg
  • Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases.
  • Experience manipulating, processing, and extracting value from large, disconnected datasets.
  • Ability to inspect existing data pipelines, discern their purpose and functionality, and re-implement them efficiently in Databricks.
  • Experience manipulating structured and unstructured data.
  • Experience architecting data systems (transactional and warehouses).
  • Experience with the SDLC, CI/CD, and operating in dev/test/prod environments.
  • Experience with data cataloging tools such as Informatica EDC, Unity Catalog, Collibra, Alation, Purview, or DataZone is a plus.
  • Commitment to data governance.
  • Experience working in an Agile environment.
  • Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models

About steampunk
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $140,000 to $180,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.