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Databricks Engineer Jobs in Baltimore, MD (NOW HIRING)

BDR Solutions LLC

Cloud Engineer - Mid-Level

Lanham, MD · Remote

$130K - $180K/yr

Experience with Databricks Asset Bundles for workspace deployment automation * Strong proficiency ... AWS DevOps Engineer Professional or AWS Certified Developer preferred * Willingness to support 24x7 ...

BDR Solutions LLC

Cloud Engineer - Mid-Level

Lanham, MD · On-site +1

$130K - $180K/yr

Experience with Databricks Asset Bundles for workspace deployment automation * Strong proficiency ... AWS DevOps Engineer Professional or AWS Certified Developer preferred * Willingness to support 24x7 ...

Agile Defense

Data Engineer

Fort George G Meade, MD

$127K - $152K/yr

Data Engineer Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Wurttemberg ... Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data ...

Agile Defense

Data Engineer

Fort George G Meade, MD · On-site

$127K - $152K/yr

Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data ... engineering that support AI/ML workflows. • Implement core data science capabilities, such as ...

Dlapiper

Data Engineer

Baltimore, MD · On-site

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Brooksource

Jr Data Engineer

Baltimore, MD · On-site

$30 - $40/hr

Jr. Data Engineer Remote Role 6-Month Contract-to-Hire Compensation: $40 per hour ABOUT THE ROLE ... Design, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks, Python, and SQL

Parsons

AI/ML Engineer with Security Clearance

Aberdeen, MD · On-site

$88K - $118K/yr

... AI, Databricks, or equivalent environments. * Strong analytical, problem-solving, and ... AWS Certified Machine Learning Engineer, AWS Machine Learning Specialty, Microsoft Azure AI ...

Perfict Global, Inc.

SQL Developer

Annapolis Junction, MD · On-site

$46.25 - $63.25/hr

... Databricks Proficiency in Power BI reporting and dashboard development Experience using GitHub for source control and collaboration Programming experience with Python and PySpark

Pwc

Data Engineer - Senior Associate

Baltimore, MD

$77K - $202K/yr

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

Pwc

Data Engineer - Manager

Baltimore, MD

$99K - $232K/yr

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... Databricks and Snowflake - Guiding team members in data architecture development and database ...

SG2 Recruiting

AI Test Engineer

Baltimore, MD

Working alongside engineering, data, AI, and product teams, you'll develop comprehensive testing ... Experience working with cloud technologies such as AWS or Databricks * Strong analytical and ...

New

T Rowe Price

Senior Data Scientist

Baltimore, MD · Hybrid

... engineering, modeling, evaluation, deployment, and monitoring. * Develop production solutions in Python (pandas, PySpark) on Databricks (Delta Lake, Unity Catalog, MLflow, Workflows/Jobs); apply CI ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Baltimore, MD

Databricks Engineer information

See Baltimore, MD salary details

$59.1K

$110.9K

$201.7K

How much do databricks engineer jobs pay per year?

As of Jul 6, 2026, the average yearly pay for databricks engineer in Baltimore, MD is $110,922.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $131,700.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

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 engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

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, and why are they important?

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.
What are popular job titles related to Databricks Engineer jobs in Baltimore, MD? For Databricks Engineer jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Baltimore, MD look for? The top searched job categories for Databricks Engineer jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Databricks Engineer jobs? Cities near Baltimore, MD with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Baltimore, MD as of June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 74% In-person, 13% Hybrid, and 13% Remote job distribution, with an average salary of $110,922 per year, or $53.3 per hour.
Cloud Engineer - Mid-Level

Cloud Engineer - Mid-Level

BDR Solutions LLC

Lanham, MD • Remote

$130K - $180K/yr

Full-time

Posted 28 days ago

Job description

About us:

BDR Solutions, LLC, (BDR) supports the U.S. Federal Government in successfully achieving its mission and goals. Our service and solution delivery starts with understanding each client’s end-state, and then seamlessly integrating within each Agency’s organization to improve and enhance business and technical operations and deployments.

(Military Veterans are highly encouraged to apply)

Role Overview:

BDR Solutions LLC is seeking a Cloud Engineer to support mission-critical federal platforms. This role focuses on AWS infrastructure, Kubernetes (EKS), and DevSecOps-driven operations to ensure high availability, scalability, and security.

Key responsibilities include managing cloud environments, maintaining CI/CD pipelines, optimizing performance and costs, and supporting 24x7 operations. The ideal candidate brings deep AWS expertise, strong automation skills, and experience working in secure, high-availability environments.

Responsibilities:

  • Active MBI – mandatory; candidates in process do NOT qualify
  • Current or recent IRS contract experience strongly preferred
  • 7+ years of hands-on AWS cloud engineering
  • Expert-level Terraform for automated IaC provisioning and management
  • DevSecOps CI/CD pipeline design using GitHub Actions with SAST/DAST/secrets scanning
  • Experience with Databricks Asset Bundles for workspace deployment automation
  • Strong proficiency with EKS, Lambda, S3, IAM, and VPC networking
  • Experience with blue/green and canary deployment strategies
  • AWS DevOps Engineer Professional or AWS Certified Developer preferred
  • Willingness to support 24x7 on-call including off-hours deployment windows
  • Bachelor's degree in Computer Science, Information Technology, or related field

Required Minimum Qualifications:

  • Design and implement the foundational DevSecOps CI/CD pipeline architecture using GitHub Actions for tenant onboarding automation
  • Automate tenant workspace provisioning and IaC-based onboarding workflows using Terraform and Databricks Asset Bundles
  • Enforce code quality, dependency scanning, and policy-as-code with approval gates and full audit trails
  • Implement secure environment promotion through dev/test/prod for deliverables
  • Support 24x7 CI/CD pipeline monitoring and failure remediation
  • Maintain Platform Operations Runbook and IaC Baselines
  • Contribute to tenant satisfaction by ensuring provisioning pipelines meet the 10-business-day SLA

Tools and Platforms:

  • Experience with Infrastructure as Code tools (Terraform, CloudFormation, ARM/Bicep)
  • Familiarity with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps)
  • Experience with Docker and Kubernetes
  • Solid understanding of networking fundamentals (TCP/IP, DNS, VPNs)

Clearance Required:

  • Minimum Background Investigation (MBI) — ACTIVE

Nice to Have Qualifications:

  • Cloud certifications (AWS, Azure, or GCP)
  • Experience with monitoring tools (CloudWatch, Prometheus, Grafana)
  • Knowledge of microservices architecture
  • Experience with automated testing and deployment strategies


In addition, U.S Citizenship is required. Select applicants will be subject to a government security investigation and must meet eligibility requirements for access to classified information and be able to obtain a government-granted security clearance. Individuals may also be subject to a background investigation including, but not limited to criminal history, employment and education verification, drug testing, and creditworthiness.

This position is contingent upon contract award. Employment is not guaranteed and will proceed only if the associated contract is awarded and funded.

The compensation range for this position is $130,000 - 180,000. Compensation decisions depend on a wide range of factors, including but not limited to location, skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.



Requirements:
None