ZipRecruiter

Log In

1

Databricks Engineer Jobs in Damascus, MD (NOW HIRING)

CyberMedia Technologies

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

We are seeking to hire a Data Engineer to our team! Client: CTEC develops and delivers innovative ... Cloud Data Platform & Databricks Implementation: Build, optimize, and maintain data processing ...

F2Onsite

Data Bricks Engineer

Herndon, VA · On-site

$117K - $141K/yr

F2Onsite is a company seeking a Data Bricks Engineer to implement and optimize data models within Databricks. The role involves designing scalable data pipelines, ensuring data integrity, and ...

Analytica

Data Engineer Lead

Bethesda, MD · On-site

$109K - $144K/yr

The focus for this role will be heavily centered around Databricks and modern data engineering practices within AWS environments. Analytica has been recognized by Inc. Magazine as a fastest-growing ...

Analytica

Data Engineer Lead

Bethesda, MD · On-site

$109K - $144K/yr

The focus for this role will be heavily centered around Databricks and modern data engineering practices within AWS environments. Analytica has been recognized by Inc. Magazine as a fastest-growing ...

Bechtel

PIM - Sr Databricks & Reporting Analyst

Reston, VA · On-site +1

$123K - $178K/yr

Bechtel will be the Engineering, Procurement, and Construction (EPC) contractor for the project and ... We are seeking a Sr. Analyst, Databricks and Reporting to join a dynamic and progressive Project ...

Guidehouse

Data Engineer - Managing Consultant

Mclean, VA · On-site

$115K - $139K/yr

Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 10% Clearance ... Minimum FOUR (4) years of hands-on Databricks experience designing scalable data pipelines.

Guidehouse

Data Engineer - Managing Consultant

Mclean, VA · On-site

$115K - $139K/yr

Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 10% Clearance ... Minimum FOUR (4) years of hands-on Databricks experience designing scalable data pipelines.

Booz Allen Hamilton

Azure Data Engineer

Mclean, VA · On-site

$62K - $141K/yr

Experience designing and implementing scalable Lakehouse architectures in Synapse and Azure Databricks following medallion architecture patterns * Experience mentoring junior engineers and ...

previous page

Showing results 41-60

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Damascus, MD

Databricks Engineer information

See Damascus, MD salary details

$62.9K

$118.1K

$214.8K

How much do databricks engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for databricks engineer in Damascus, MD is $118,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,200.00 and $140,200.00 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 cities near Damascus, MD are hiring for Databricks Engineer jobs? Cities near Damascus, MD with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Damascus, MD as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $118,095 per year, or $56.8 per hour.

Data Engineer

CyberMedia Technologies

Mclean, VA • On-site

$115K - $139K/yr

Full-time

Re-posted 12 days ago

Job description

CTEC is a leading technology firm that provides modernization, digital transformation, and application development services to the U.S. Federal Government. Headquartered in McLean, VA, CTEC has over 300 team members working on mission-critical systems and projects for agencies such as the Department of Homeland Security, Internal Revenue Service, and the Office of Personnel Management. The work we do effects millions of U.S. citizens daily as they interact with the systems we build. Our best-in-class commercial solutions, modified for our customers' bespoke mission requirements, are enabling this future every day.

The Company has experienced rapid growth over the past 3 years and recently received a strategic investment from Main Street Capital Corporation (NYSE: MAIN). In addition to our recent growth in Federal Civilian agencies, we are seeking to expand our capabilities in cloud development and footprint in national-security focused agencies within the Department of Defense and U.S. Intelligence Community.

We are seeking to hire a Data Engineer to our team!

Client:
CTEC develops and delivers innovative customer-centric technologies and solutions that support the Office of Personnel Management's (OPM) Health and Insurance business unit and Office of the Chief Information Officer (OCIO).

Duties and Responsibilities:

  • Data Pipeline & ETL Development: Design, develop, and maintain scalable ETL pipelines and data workflows to ingest, transform, and integrate data from legacy systems and external sources into modern cloud-based data platforms.
  • Cloud Data Platform & Databricks Implementation: Build, optimize, and maintain data processing solutions using Azure Databricks and lakehouse architectures to support analytical, operational, and reporting use cases.
  • Data Migration Support: Support phased data migration from legacy databases and ETL tools to Azure Databricks environments, including transformation documentation and data mapping.
  • Lakehouse & Data Layer Design: Implement layered lakehouse data architectures (e.g., bronze, silver, gold layers) in Databricks to support data quality, performance, and downstream reporting needs.
  • Python & PySpark Development: Develop data processing notebooks, workflows, and distributed data transformations using Python and PySpark within Databricks environments.
  • Data Quality & Validation: Develop data validation, reconciliation, and testing processes to ensure data accuracy, completeness, and consistency across data domains.
  • Data Integration & Interoperability: Integrate Databricks data platforms with analytics and reporting tools to enable business intelligence and operational dashboards.
  • Data Governance & Security Implementation: Support data governance initiatives including metadata management, data catalog integration, encryption, access controls, and compliance with federal data protection requirements.
  • DevOps & CI/CD Support: Maintain source control and CI/CD pipelines for Databricks and data engineering workflows, supporting automated promotion across environments.
  • Technical Collaboration: Work closely with data architects, solution architects, business analysts, and reporting teams to implement approved data solutions.
  • Operational Support & Troubleshooting: Provide ongoing support for Databricks workflows, resolve pipeline failures, and troubleshoot complex data processing issues.
  • Mentorship & Knowledge Sharing: Provide guidance to junior data engineers and contribute to documentation and team enablement.
  • Works under minimal supervision with minor guidance from senior personnel.

Skills & Work Experience:

  • Professional Experience: 7+ years of experience in data engineering, ETL development, or large-scale data integration environments.
  • Strong experience designing and developing ETL pipelines and data transformations in Azure Databricks environments.
  • Strong proficiency in SQL and Python, with hands-on experience using PySpark for distributed data processing.
  • Experience working with cloud-based data platforms, data lakes, and lakehouse environments, preferably on Microsoft Azure.
  • Experience implementing layered lakehouse data architectures (bronze, silver, gold) for enterprise analytics.
  • Familiarity with Spark-based big data processing frameworks.
  • Experience supporting data migration from legacy databases and ETL tools to Databricks-based platforms.
  • Experience integrating Databricks platforms with business intelligence and reporting tools such as Power BI.
  • Familiarity with data governance, metadata management, and data security best practices.
  • Experience with source control and CI/CD pipelines for data engineering and Databricks workflows.
  • Working knowledge of SDLC and Agile delivery methodologies.
  • Excellent organizational, communication, and collaboration skills.

Preferred:

  • Hands-on experience with Azure Databricks workflows, Delta tables, and Databricks job orchestration.
  • Experience with Azure Data Lake, Azure Data Factory, or similar Azure data services.
  • Experience supporting federal IT modernization or large-scale enterprise data transformation initiatives.
  • Familiarity with healthcare, insurance, or benefits administration data environments.
  • Experience implementing data governance or data catalog platforms.

Education:

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline. Equivalent education or professional experience will be considered in lieu of a degree.

Clearance:
Must be a U.S. citizen and be able to obtain a Public Trust clearance.

If you are looking for a fun and challenging environment with talented, motivated people to work with, CTEC is the right place for you. In addition to employee salary, we offer an array of employee benefits including:

  • Paid vacation & Sick leave

  • Health insurance coverage

  • Career training

  • Performance bonus programs

  • 401K contribution & Employer Match

  • 11 Federal Holidays