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Databricks Engineer Jobs in Capitol Heights, MD (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 ...

Data Engineer (Databricks)

Reston, VA · 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 ...

Azure/Databricks Infrastructure Engineer

Mclean, VA · On-site

$56.25 - $75.25/hr

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 ...

Data Engineer - Databricks

Mclean, VA

$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 ...

Data Engineer (Databricks)

Reston, VA · On-site

$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 ...

Sr. Counsel, Product

Washington, DC · On-site

$143K - $189K/yr

GAQ427R191 Databricks is seeking a Senior Product Counsel to help the Databricks legal team provide cutting-edge, practical legal advice to Databricks' engineering and product management teams as we ...

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 ...

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 ...

Showing results 21-40

Databricks Engineer information

See Capitol Heights, MD salary details

$59.7K

$112.1K

$203.8K

How much do databricks engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for databricks engineer in Capitol Heights, MD is $112,072.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,800.00 and $133,000.00 per year, depending on experience, location, and employer.

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.

How much does a Databricks engineer make?

A Databricks engineer's salary 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 architecture can earn higher compensation, often exceeding $160,000 per year.

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?

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.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.
What are popular job titles related to Databricks Engineer jobs in Capitol Heights, MD? For Databricks Engineer jobs in Capitol Heights, MD, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Capitol Heights, MD look for? The top searched job categories for Databricks Engineer jobs in Capitol Heights, MD are:
What cities near Capitol Heights, MD are hiring for Databricks Engineer jobs? Cities near Capitol Heights, MD with the most Databricks Engineer job openings:

Databricks Engineering Consultant

Deloitte

Rosslyn, VA

Full-time

Re-posted 21 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

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.

ai&e fy27 profile

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.

ai&e fy27 profile

Education:Bachelor's DegreeEmployment Type:

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