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Databricks Developer Jobs in Virginia (NOW HIRING)

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 ...

Guidehouse is seeking a Databricks Engineer to join our AI and Data Defense and Security team to ... Experience with CI/CD tools (Azure DevOps, Jenkins, GitHub Actions). * Experience with Unity ...

Guidehouse is seeking a Databricks Engineer to join our AI and Data Defense and Security team to ... Experience with CI/CD tools (Azure DevOps, Jenkins, GitHub Actions). * Experience with Unity ...

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production ... Build automated CI/CD workflows using GitHub Actions or Azure DevOps for notebook deployment ...

Databricks Data Engineer

Manassas, VA

$114K - $137K/yr

The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production ... Build automated CI/CD workflows using GitHub Actions or Azure DevOps for notebook deployment ...

Databricks Data Engineer

Manassas, VA

$114K - $137K/yr

The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production ... Build automated CI/CD workflows using GitHub Actions or Azure DevOps for notebook deployment ...

Azure/Databricks Infrastructure Engineer

Mclean, VA · On-site

$56.25 - $75.25/hr

... DevOps or GitHub Actions * Supporting cloud modernization, analytics, AI, and enterprise data ... As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure ...

Databricks Solutions Architect

Mclean, VA · On-site

$66.50 - $87.25/hr

Provide hands-on technical leadership for complex Databricks data engineering projects. * Optimize Spark and Databricks workloads for performance, scalability, reliability, and cost. * Design and ...

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 ...

We are looking for seasoned 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 ...

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Databricks Developer information

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How much do databricks developer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for databricks developer in Virginia is $60.96, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $67.45 per hour, depending on experience, location, and employer.

What is a Databricks developer?

A Databricks Developer is responsible for designing, developing, and optimizing data pipelines and workflows using Databricks, a cloud-based data analytics platform. They work with big data technologies, such as Apache Spark, to process, transform, and analyze large datasets efficiently. Their role includes writing scalable code, creating data models, and collaborating with data engineers and analysts to support business intelligence and machine learning initiatives.

What are the key skills and qualifications needed to thrive in the Databricks developer position, and why are they important?

To thrive as a Databricks Developer, you need strong skills in data engineering, Spark programming, SQL, and cloud platforms, typically with a background in computer science or a related field. Hands-on experience with Databricks, Apache Spark, Python/Scala, and knowledge of cloud services like AWS or Azure, as well as relevant certifications, are highly valued. Analytical thinking, problem-solving, effective communication, and the ability to collaborate across teams are essential soft skills for this role. These abilities are crucial to designing scalable data solutions, streamlining data pipelines, and supporting business analytics in modern data-driven organizations.

What are the typical daily responsibilities of a Databricks developer?

As a Databricks Developer, your typical day involves designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark. You’ll collaborate with data engineers, data scientists, and business analysts to ensure data is clean, accessible, and reliable for analytics and reporting. Tasks often include code reviews, optimizing data workflows, troubleshooting performance issues, and implementing best practices for data security and governance. This role offers a dynamic work environment that blends technical challenge with teamwork across multiple departments.

Is a Databricks developer an in demand skill?

Yes, Databricks developers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. Skills in Apache Spark, SQL, and cloud environments like AWS or Azure enhance employability in this role, which is often required in data-driven industries.

What is the salary of a Databricks developer?

The salary of a Databricks developer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior developers with expertise in Spark, cloud platforms, and data engineering can earn higher salaries, especially in competitive markets.

What are the most commonly searched types of Databricks Developer jobs in Virginia?

The most popular types of Databricks Developer jobs in Virginia are:

What are popular job titles related to Databricks Developer jobs in Virginia?

For Databricks Developer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Databricks Developer jobs in Virginia look for?

The top searched job categories for Databricks Developer jobs in Virginia are:

What cities in Virginia are hiring for Databricks Developer jobs?

Cities in Virginia with the most Databricks Developer job openings:

Infographic showing various Databricks Developer job openings in Virginia as of August 2026, with employment types broken down into 83% Full Time, 5% Part Time, and 12% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $126,804 per year, or $61 per hour.

Senior Consultant, Data Engineer (Databricks Experience)

Infinitive Inc

Mclean, VA • On-site

$107K - $145K/yr

Full-time

Re-posted yesterday


Job description

*Candidates must be local to the Washington D.C. metro area. 
About Infinitive:

Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment.

Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 8 times most recently in 2025. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.”


About the Role:
We are seeking a highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault). As a Senior Data Engineer, you will play a critical role in designing, implementing, and maintaining our client's data infrastructure while ensuring scalability, reliability, and efficiency.
 

Responsibilities:

  1. Data Engineering: Design, build, and maintain scalable data pipelines and ETL processes using Databricks and other relevant technologies.

  2. DevOps Integration: Implement continuous integration and continuous deployment (CI/CD) pipelines using Jenkins and Terraform to automate deployment, monitoring, and scaling of data infrastructure.

  3. Data Modeling: Develop and implement data models based on business requirements, including 3NF, Dimensional, and Data Vault models. Ensure data models adhere to best practices for efficiency, scalability, and maintainability.

  4. Performance Optimization: Identify and address performance bottlenecks in data pipelines and queries. Optimize data processing and storage to improve overall system performance.

  5. Data Quality Assurance: Implement data quality checks and monitoring processes to ensure data accuracy, completeness, and consistency.

  6. Collaboration: Work closely with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and deliver high-quality solutions.

  7. Documentation and Best Practices: Document data pipelines, infrastructure configurations, and data models. Define and enforce best practices for data engineering and DevOps processes.

  8. Training and Mentorship: Provide guidance and mentorship to junior team members. Conduct training sessions to promote knowledge sharing and skill development within the team.

Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or related field. Master’s degree preferred.
  • Proven experience as a Data Engineer, preferably in a cloud-based environment.
  • Strong proficiency in Databricks for data processing and analytics.
  • Hands-on experience with DevOps tools such as Jenkins and Terraform for infrastructure automation.
  • In-depth knowledge of data modeling concepts including 3NF, Dimensional, and Data Vault.
  • Proficiency in SQL and programming languages such as Python or Scala.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.


Infinitive is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $90,000.00 - $154,00.00.
Infinitive 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, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

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