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Databricks Developer Jobs in Washington (NOW HIRING)

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 ...

As a databricks engineer, you will help design, build, and support data management solutions that enable reliable, scalable, and secure use of data across business and technology functions. In this ...

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 ...

Databricks SME

Washington, DC · On-site

$63.25 - $84.50/hr

Databricks SME 18 months Washington, D.C. 20224 Key Responsibilities * Serve as the Databricks SME ... Mentor mid-level engineers and contribute to team knowledge sharing. * Participate in code reviews ...

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Databricks Developer information

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How much do databricks developer jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for databricks developer in Washington is $69.64, according to ZipRecruiter salary data. Most workers in this role earn between $62.60 and $77.07 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.

Is Databricks a high paying company?

As a Databricks Developer, salary levels are generally competitive within the tech industry, often reflecting expertise in cloud platforms, big data tools, and programming skills. Compensation can vary based on experience, location, and certifications, but many roles in this field offer above-average salaries for data and cloud professionals.

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.

Is Databricks an in demand skill?

Databricks skills are highly in demand for data engineering and data science roles, as many organizations adopt the platform for big data processing and analytics. Proficiency in Spark, SQL, and cloud environments enhances job prospects for Databricks developers, with many companies seeking professionals with certification and experience in the platform.

What is a Databricks Developer job?

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.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Developer can be competitive, requiring strong skills in Apache Spark, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering and analytics tools to improve their chances.

Is Databricks need coding?

As a Databricks Developer, coding skills are essential because the role involves writing and optimizing code in languages such as Python, Scala, or SQL to develop data pipelines and analytics solutions within the Databricks platform. Familiarity with Spark and data engineering concepts is also important for effective performance.
What are the most commonly searched types of Databricks Developer jobs in Washington? The most popular types of Databricks Developer jobs in Washington are:
What are popular job titles related to Databricks Developer jobs in Washington? For Databricks Developer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Databricks Developer jobs in Washington look for? The top searched job categories for Databricks Developer jobs in Washington are:
Infographic showing various Databricks Developer job openings in Washington as of June 2026, with employment types broken down into 90% Full Time, 4% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $144,860 per year, or $69.6 per hour.
Databricks Engineering Consultant

Databricks Engineering Consultant

Deloitte

Rosslyn, VA

Other

Posted 8 days ago


Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

55th of 139 rated financial services


Job description

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

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 platform using tools such as Auto Loader, Declarative Pipelines, and Structured Streaming
  • Building and optimizing Databricks SQL endpoints, data models, and integrations with business intelligence tools to support analytics and reporting
  • Supporting the development and deployment of machine learning solutions using Databricks, Unity Catalog, and MLflow
  • Advising clients on implementation approaches and operational practices across Databricks data, analytics, and machine learning capabilities
  • Implementing end-to-end Databricks solutions across data ingestion, transformation, governance, and deployment on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Must be able to obtain and maintain a US government security clearance
  • 2+ years of experience developing and deploying solutions on the Databricks platform
  • 2+ years of experience with SQL, Python, and Apache Spark
  • 2+ years of experience with at least one major cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Databricks Data Engineer Associate, Databricks Data Engineer Professional, or Databricks Data Analyst Associate certification
  • Experience supporting government, public sector, or higher education clients
  • Active US government security clearance

For individuals assigned and/or hired to work in California, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to California and 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. 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 $97,700 to $162,800.

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:

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

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 platform using tools such as Auto Loader, Declarative Pipelines, and Structured Streaming
  • Building and optimizing Databricks SQL endpoints, data models, and integrations with business intelligence tools to support analytics and reporting
  • Supporting the development and deployment of machine learning solutions using Databricks, Unity Catalog, and MLflow
  • Advising clients on implementation approaches and operational practices across Databricks data, analytics, and machine learning capabilities
  • Implementing end-to-end Databricks solutions across data ingestion, transformation, governance, and deployment on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Must be able to obtain and maintain a US government security clearance
  • 2+ years of experience developing and deploying solutions on the Databricks platform
  • 2+ years of experience with SQL, Python, and Apache Spark
  • 2+ years of experience with at least one major cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Databricks Data Engineer Associate, Databricks Data Engineer Professional, or Databricks Data Analyst Associate certification
  • Experience supporting government, public sector, or higher education clients
  • Active US government security clearance

For individuals assigned and/or hired to work in California, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to California and 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. 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 $97,700 to $162,800.

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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