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Databricks Developer Jobs in Fairfax, VA (NOW HIRING)

Deloitte

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 ...

Steampunk

Data Engineer - Databricks

Mclean, VA · On-site

$115K - $139K/yr

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 ...

Databricks

Sr Software Engineer -Public Sector

Mclean, VA · On-site

$155K - $214K/yr

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 ...

PamTen Inc

Databricks Architect

Washington, DC · On-site

$73 - $96/hr

... engineers, analysts, and architects on Databricks technologies and platform adoption. • Lead migration initiatives from legacy data warehouses and analytics platforms to Databricks. • Build and ...

ECS

Senior Databricks Migration Engineer

Arlington, VA · On-site

$130K - $158K/yr

ECS is seeking a Senior Databricks Migration Engineer to work onsite for the US Postal Services' Inspector General's Office (OIG) at our Arlington, VA office. This role leads technical data migration ...

Steampunk

Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $160K/yr

Contributions 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 ...

Steampunk

Data Engineer - Databricks

Mclean, VA

$125K - $160K/yr

Contributions 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 ...

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All JobsDatabricks Developer JobsDatabricks Developer Jobs in Fairfax, VA

Databricks Developer information

See Fairfax, VA salary details

$21

$62

$81

How much do databricks developer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for databricks developer in Fairfax, VA is $62.85, according to ZipRecruiter salary data. Most workers in this role earn between $56.49 and $69.52 per hour, depending on experience, location, and employer.

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.

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 do you need to be a Databricks developer?

To become a Databricks developer, you typically need proficiency in Apache Spark, programming skills in languages like Python, Scala, or SQL, and experience with cloud platforms such as AWS or Azure. Knowledge of data engineering, ETL processes, and familiarity with Databricks' environment and tools are also important, along with relevant certifications or training.

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 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 roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation.

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 are the most commonly searched types of Databricks Developer jobs in Fairfax, VA? The most popular types of Databricks Developer jobs in Fairfax, VA are:
What are popular job titles related to Databricks Developer jobs in Fairfax, VA? For Databricks Developer jobs in Fairfax, VA, the most frequently searched job titles are:
Databricks Developer jobs near you
Infographic showing various Databricks Developer job openings in Fairfax, VA as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $130,736 per year, or $62.9 per hour.

Azure/Databricks Infrastructure Engineer

Deloitte

Mclean, VA • On-site

$56.25 - $75.25/hr

Other

Re-posted 16 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services

Job description

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. 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 transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance.

This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives.

Recruiting for this role ends on 08/7/2026.

Work You'll Do

As an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for...

  • Designing, building, and supporting Azure cloud infrastructure and Databricks platform environments for enterprise clients
  • Implementing Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments
  • Configuring and administering Databricks workspaces, clusters, Unity Catalog, governance capabilities, and platform security controls
  • Developing infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automating deployments through Azure DevOps or GitHub Actions
  • Supporting cloud modernization, analytics, AI, and enterprise data transformation initiatives through architecture reviews, technical workshops, and delivery collaboration
  • Participate in architecture reviews, technical workshops, client discussions, and operational planning sessions
The Team

Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value.
In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation.

Qualifications

Required:
Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field
4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery
Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment
Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management
Experience implementing Infrastructure as Code (Terraform, Bicep, ARM)
Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions
Strong understanding of cloud security, networking, governance, and enterprise platform operations
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Preferred:
Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems
Experience supporting AI/ML or advanced analytics infrastructure environments
Azure and/or Databricks certifications preferred
Experience working across hybrid cloud or enterprise modernization initiatives
Consulting experience supporting large-scale transformation programs

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. 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 transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance.

This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives.

Recruiting for this role ends on 08/7/2026.

Work You'll Do

As an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for...

  • Designing, building, and supporting Azure cloud infrastructure and Databricks platform environments for enterprise clients
  • Implementing Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments
  • Configuring and administering Databricks workspaces, clusters, Unity Catalog, governance capabilities, and platform security controls
  • Developing infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automating deployments through Azure DevOps or GitHub Actions
  • Supporting cloud modernization, analytics, AI, and enterprise data transformation initiatives through architecture reviews, technical workshops, and delivery collaboration
  • Participate in architecture reviews, technical workshops, client discussions, and operational planning sessions
The Team

Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value.
In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation.

Qualifications

Required:
Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field
4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery
Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment
Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management
Experience implementing Infrastructure as Code (Terraform, Bicep, ARM)
Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions
Strong understanding of cloud security, networking, governance, and enterprise platform operations
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Preferred:
Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems
Experience supporting AI/ML or advanced analytics infrastructure environments
Azure and/or Databricks certifications preferred
Experience working across hybrid cloud or enterprise modernization initiatives
Consulting experience supporting large-scale transformation programs

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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