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Databricks Engineer Jobs in Baltimore, MD (NOW HIRING)

Parsons Corporation

AI/ML Engineer

Aberdeen, MD · On-site

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

Parsons Services Company

AI/ML Engineer

Aberdeen, MD · On-site

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

New

standvast

Senior Data Engineer

Columbia, MD

$105K - $142K/yr

We are a Python/Django shop with React front ends, Databricks as our data platform, Tableau as a BI ... You will be a member of our small data engineering team. This is a hands-on, build-oriented ...

Chaney Enterprises

Technical Engineer

Annapolis, MD · On-site

Utilize Databricks for data engineering tasks, ensuring data quality and accessibility. * Develop and maintain CI/CD pipelines for data integration and deployment workflows. * Monitor and optimize ...

Chaney Enterprises

Technical Engineer

Annapolis, MD · On-site

Utilize Databricks for data engineering tasks, ensuring data quality and accessibility. * Develop and maintain CI/CD pipelines for data integration and deployment workflows. * Monitor and optimize ...

Chaney Enterprises

Technical Engineer

Annapolis, MD · On-site

Utilize Databricks for data engineering tasks, ensuring data quality and accessibility. * Develop and maintain CI/CD pipelines for data integration and deployment workflows. * Monitor and optimize ...

BDR Solutions LLC

Cloud Engineer - Mid-Level

Lanham, MD · Remote

$110K - $170K/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

$110K - $170K/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 ...

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 ...

Capital Technology Group

Data Engineer

Silver Spring, MD

$118K - $142K/yr

The Data Engineer will partner with other Data Engineers to evaluate and prototype new tools and ... Databricks , Apache Spark (PySpark) , Python , SQL (PostgreSQL) , and dbt for large-scale data ...

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

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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 Aug 16, 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 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 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 August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $110,922 per year, or $53.3 per hour.

AI/ML Engineer

Parsons Corporation

Aberdeen, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

Parsons rating

7.7

Company rating: 7.7 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

263rd of 449 rated engineering

Job description

In a world of possibilities, pursue one with endless opportunities. Imagine Next!
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible.
Job Description:
Parsons is looking for an amazingly talented AI/ML Engineer to join our team! In this role you will get to design, develop, deploy, and maintain Artificial Intelligence (AI) and Machine Learning (ML) solutions that support business, operational, and customer-facing products and services.
What You'll Be Doing:
  • Supports AI/ML program and project implementation efforts and makes significant contributions to department goals, innovation initiatives, and strategic planning activities.
  • Designs, develops, trains, evaluates, and deploys machine learning and artificial intelligence models to solve business and operational challenges.
  • Collaborates with data scientists, software engineers, product owners, and business stakeholders to define AI/ML requirements and solution approaches.
  • Develops and maintains data pipelines, feature engineering processes, and model training workflows.
  • Monitors model performance, drift, accuracy, and reliability in production environments and implements corrective actions as necessary.
  • Investigates and resolves defects, performance issues, and operational incidents related to AI/ML applications and services.
  • Oversees model testing, validation, and quality assurance activities to ensure solutions meet business, regulatory, and technical requirements.
  • Supports MLOps practices including model versioning, deployment automation, monitoring, and lifecycle management.
  • Evaluates emerging AI technologies, machine learning frameworks, and industry best practices to improve organizational capabilities.
  • Ensures AI/ML solutions comply with security, privacy, ethical AI, and governance requirements.
  • Documents model architecture, assumptions, performance metrics, and deployment procedures.
  • Acts as a technical resource to managers, engineers, analysts, and other employees throughout the organization.
  • Performs other responsibilities associated with this position as may be appropriate.

What Required Skills You'll Bring:
  • Bachelor's Degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Computer Engineering, Mathematics, Statistics, or related field.
  • 5+ years of related professional experience in software engineering, machine learning engineering, data science, or artificial intelligence development.
  • Advanced knowledge of machine learning, artificial intelligence, statistical modeling, and predictive analytics concepts.
  • Experience developing and deploying machine learning models in production environments.
  • Proficiency in Python and common AI/ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, Hugging Face, or similar technologies.
  • Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent architectures preferred.
  • Knowledge of MLOps practices, CI/CD pipelines, model monitoring, and deployment automation.
  • Experience working with structured and unstructured data sources and large-scale datasets.
  • Understanding of cloud-based AI/ML platforms such as AWS SageMaker, Azure AI, Google Vertex AI, Databricks, or equivalent environments.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Ability to work effectively under pressure and manage multiple priorities.
  • Advanced written and verbal communication skills.
  • Proficiency in Microsoft Office applications.
  • Advanced time management and organizational skills.
  • Ability to communicate complex technical concepts to both technical and non-technical audiences.
  • Must be a US Citizen

What Desired Skills You'll Bring:
  • Experience deploying AI/ML solutions in enterprise or production environments preferred.
  • AWS Certified Machine Learning Engineer, AWS Machine Learning Specialty, Microsoft Azure AI Engineer Associate, Google Professional Machine Learning Engineer, Databricks Machine Learning Professional, or equivalent certification preferred.
  • Generative AI, LLM, or MLOps certifications preferred.
  • A SECRET Clearance (or higher is preferred)

Security Clearance Requirement:
None
This position is part of our Federal Solutions team.
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.
Salary Range: $103,500.00 - $181,100.00
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.
We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.

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