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Databricks Data Engineer Jobs in Baltimore, MD (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Engineer

Belcamp, MD · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with distributed data/computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR ...

Booz Allen Hamilton

Data Engineer

Belcamp, MD

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with distributed data/computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR ...

Booz Allen Hamilton

Data Engineer

Belcamp, MD

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with distributed data/computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR ...

Booz Allen Hamilton, Inc.

Data Engineer

Belcamp, MD · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with distributed data/computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR ...

Booz Allen Hamilton, Inc.

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Experience with distributed data/computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR ...

Booz Allen Hamilton, Inc.

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Experience with distributed data/computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR ...

Deloitte

Senior Data Engineer

Baltimore, MD · Hybrid

$105K - $143K/yr

Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

SG2 Recruiting

Data Engineer II

Baltimore, MD · Remote

$113K - $136K/yr

As a Data Engineer II, you will help build the pipelines, processes, and systems that ensure ... Strong experience with Python, T-SQL, SQL Server Management Studio (SSMS), Databricks, and Azure ...

SG2 Recruiting

Data Engineer II

Baltimore, MD · Remote

$113K - $136K/yr

As a Data Engineer II, you will help build the pipelines, processes, and systems that ensure ... Strong experience with Python, T-SQL, SQL Server Management Studio (SSMS), Databricks, and Azure ...

standvast

Senior Data Engineer

Columbia, MD · On-site

$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 ...

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 ...

Pwc

GenAI Python Systems Engineer-Manager

Baltimore, MD

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

AST SpaceMobile

Data Engineer Lead

Lanham, MD

$102K - $135K/yr

Position Overview We are seeking a Lead Data Engineer to serve as a senior individual contributor ... Modern data ecosystems including Databricks, Snowflake, Redshift, or similar * BI and analytics ...

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All JobsDatabricks Data Engineer JobsDatabricks Data Engineer Jobs in Baltimore, MD

Databricks Data Engineer information

See Baltimore, MD salary details

$44.2K

$128.9K

$176.4K

How much do databricks data engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for databricks data engineer in Baltimore, MD is $128,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $136,600.00 per year, depending on experience, location, and employer.

What is a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive in the Databricks Data Engineer position, and why are they important?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What are the most commonly searched types of Databricks Data Engineer jobs in Baltimore, MD? The most popular types of Databricks Data Engineer jobs in Baltimore, MD are:
What are popular job titles related to Databricks Data Engineer jobs in Baltimore, MD? For Databricks Data Engineer jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Databricks Data Engineer jobs in Baltimore, MD look for? The top searched job categories for Databricks Data Engineer jobs in Baltimore, MD are:
Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in Baltimore, MD as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, 2% Part Time, and 1% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $128,891 per year, or $62 per hour.

Data Engineer / Senior Data Engineer (Palantir & Data Platforms)

Reef Point Group

Annapolis, MD • On-site

$113K - $136K/yr

Full-time

Posted 22 days ago

Job description

Description:About ReefPoint Group

ReefPoint Group (RPG) is a mission-driven consulting firm focused on improving outcomes for Veterans, service members, and federal agencies through data, technology, and strategic consulting. We partner with our clients to solve complex operational challenges, modernize systems, and transform data into actionable insight.

At RPG, we value curiosity, collaboration, and innovation. Our teams work alongside clients to deliver practical solutions that drive mission impact.


Position Overview

ReefPoint Group is seeking Data Engineers and Senior Data Engineers to support the design, development, and operationalization of modern data environments supporting federal clients.

This is not a traditional reporting or business intelligence role. We are looking for professionals who can build and support scalable data ecosystems, integrate complex data sources, and enable analytics, operational decision-making, and emerging AI/ML capabilities within mission-focused environments.

Successful candidates will bring strong experience in data engineering, platform development, and cloud-based data environments, with experience supporting federal missions and modern data platforms such as Palantir Foundry, Snowflake, Azure, or similar technologies strongly preferred.


What You'll Do
  • Design, develop, and maintain scalable data pipelines and ingestion workflows
  • Integrate, transform, and operationalize structured and unstructured data sources
  • Support data mapping, data model alignment, and platform integration activities
  • Develop and maintain cloud-based and modern data platform solutions
  • Collaborate with technical and non-technical stakeholders to understand mission and operational requirements
  • Improve data quality, reliability, and accessibility across enterprise environments
  • Support data governance, metadata, and platform optimization efforts
  • Enable advanced analytics, AI/ML, and operational decision-making through robust data engineering practices
  • Contribute to solution design, technical problem-solving, and continuous platform improvement
Requirements:
  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related field, or equivalent experience
  • Minimum 3+ years of professional experience in data engineering, data integration, or related technical roles
  • Experience developing and maintaining data pipelines, ETL/ELT workflows, or ingestion frameworks
  • Experience working within cloud or modern data platform environments
  • Experience supporting federal, government, or mission-focused environments
  • Strong understanding of data structures, integration approaches, and data lifecycle management
  • Ability to work collaboratively in fast-paced, client-facing environments
Preferred Qualifications
  • Experience with Palantir Foundry or comparable modern data platforms
  • Experience with Snowflake, Azure, AWS, Databricks, or similar cloud technologies
  • Experience supporting AI/ML or advanced analytics environments
  • Experience with data modeling, ontology development, or data architecture concepts
  • Experience supporting VA, DoD, DHA, or other federal agencies
  • Experience working in Agile or DevSecOps environments
  • Familiarity with data governance and enterprise data management practices
  • Public Trust or security clearance eligibility or active clearance


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