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Databricks Engineer Jobs in Maryland (NOW HIRING)

CMT Services Inc.

Databricks Engineer

Adelphi, MD · On-site

Databricks Engineer Location: University of Maryland Global Campus 3501 University Blvd. East Adelphi, MD 20783 Period of Performance: 1 year 40 hours per week (no overtime). Position Summary: The ...

CMT Services Inc

Databricks Engineer

Adelphi, MD · On-site

Databricks Engineer Location: University of Maryland Global Campus 3501 University Blvd. East Adelphi, MD 20783 Period of Performance: 1 year 40 hours per week (no overtime). Position Summary: The ...

CMT Services, Inc.

Databricks Engineer

Adelphi, MD

Databricks Engineer Location: University of Maryland Global Campus 3501 University Blvd. East Adelphi, MD 20783 Period of Performance: 1 year 40 hours per week (no overtime). Position Summary: The ...

Booz Allen Hamilton

Databricks Engineer

Bethesda, MD · On-site

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Databricks Engineer The Opportunity: We are seeking a hands-on Databricks Engineer to design, build, and operate scalable data and analytics solutions supporting government mission needs. This role ...

Resource Point LLC

Databricks Developer

Bethesda, MD · On-site

Databricks Developer Location: Bethesda, MD Duration: 12 Months We are seeking a highly experienced Data Integration and Business Intelligence (BI) Developer with deep expertise in Databricks, AWS ...

Analytica

Data Engineer

Bethesda, MD · On-site

$122K - $147K/yr

  • Medical

  • Retirement

Analytica is seeking Data Engineers across multiple experience levels-from junior to senior-to join ... Design, build, and maintain scalable data pipelines and data architectures using Databricks and ...

Analytica

Data Engineer Lead

Bethesda, MD · On-site

$109K - $144K/yr

  • Medical

  • Retirement

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

  • Medical

  • Retirement

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

  • Medical

  • Retirement

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 ...

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Showing results 1-20

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Maryland

Databricks Engineer information

See Maryland salary details

$57.7K

$108.3K

$197K

How much do databricks engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for databricks engineer in Maryland is $108,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,100.00 and $128,600.00 per year, depending on experience, location, and employer.

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.

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 $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

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 like AWS or Azure, making them valuable in data-driven organizations across various industries.

What are popular job titles related to Databricks Engineer jobs in Maryland?

For Databricks Engineer jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in Maryland look for?

The top searched job categories for Databricks Engineer jobs in Maryland are:

What cities in Maryland are hiring for Databricks Engineer jobs?

Cities in Maryland with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Maryland as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $108,343 per year, or $52.1 per hour.

Databricks Engineer

CMT Services Inc.

Adelphi, MD • On-site

Contractor

Re-posted 8 days ago

Job description

ABOUT US:
CMT Services Inc. is a dynamic and small business supporting Federal, State, and Local government agencies. As an SBA-certified HUBZone, Woman Owned Small Business (WOSB), we deliver quality, professional services to support the missions and strategic business goals of our clients.
Position Title: Databricks Engineer
Location:
University of Maryland Global Campus
3501 University Blvd. East
Adelphi, MD 20783
Period of Performance:
1 year
40 hours per week (no overtime).
Position Summary: The Databricks Engineer will design, build, and operate a Data & AI platform with a strong foundation in the Medallion Architecture (raw/bronze, curated/silver, and mart/gold layers). This platform will orchestrate complex data workflows and scalable ELT pipelines to integrate data from enterprise systems such as PeopleSoft, D2L, and Salesforce, delivering high-quality, governed data for machine learning, AI/BI, and analytics at scale.
You will play a critical role in engineering the infrastructure and workflows that enable seamless data flow across the enterprise, ensure operational excellence, and provide the backbone for strategic decision-making, predictive modeling, and innovation.
Responsibilities
Data & AI Platform Engineering (Databricks-Centric):
  • Design, implement, and optimize end-to-end data pipelines on Databricks, following the Medallion Architecture principles.
  • Build robust and scalable ETL/ELT pipelines using Apache Spark and Delta Lake to transform raw (bronze) data into trusted curated (silver) and analytics-ready (gold) data layers.
  • Operationalize Databricks Workflows for orchestration, dependency management, and pipeline automation.
  • Apply schema evolution and data versioning to support agile data development.

Platform Integration & Data Ingestion:
  • Connect and ingest data from enterprise systems such as PeopleSoft, D2L, and Salesforce using APIs, JDBC, or other integration frameworks.
  • Implement connectors and ingestion frameworks that accommodate structured, semi-structured, and unstructured data.
  • Design standardized data ingestion processes with automated error handling, retries, and alerting.

Data Quality, Monitoring, and Governance:
  • Develop data quality checks, validation rules, and anomaly detection mechanisms to ensure data integrity across all layers.
  • Integrate monitoring and observability tools (e.g., Databricks metrics, Grafana) to track ETL performance, latency, and failures.
  • Implement Unity Catalog or equivalent tools for centralized metadata management, data lineage, and governance policy enforcement.

Security, Privacy, and Compliance:
  • Enforce data security best practices including row-level security, encryption at rest/in transit, and fine-grained access control via Unity Catalog.
  • Design and implement data masking, tokenization, and anonymization for compliance with privacy regulations (e.g., GDPR, FERPA).
  • Work with security teams to audit and certify compliance controls.

AI/ML-Ready Data Foundation:
  • Enable data scientists by delivering high-quality, feature-rich data sets for model training and inference.
  • Support AIOps/MLOps lifecycle workflows using MLflow for experiment tracking, model registry, and deployment within Databricks.
  • Collaborate with AI/ML teams to create reusable feature stores and training pipelines.

Cloud Data Architecture and Storage:
  • Architect and manage data lakes on Azure Data Lake Storage (ADLS) or Amazon S3, and design ingestion pipelines to feed the bronze layer.
  • Build data marts and warehousing solutions using platforms like Databricks.
  • Optimize data storage and access patterns for performance and cost-efficiency.

Documentation & Enablement:
  • Maintain technical documentation, architecture diagrams, data dictionaries, and runbooks for all pipelines and components.
  • Provide training and enablement sessions to internal stakeholders on the Databricks platform, Medallion Architecture, and data governance practices.
  • Conduct code reviews and promote reusable patterns and frameworks across teams.

Reporting and Accountability:
  • Submit a weekly schedule of hours worked and progress reports outlining completed tasks, upcoming plans, and blockers.
  • Track deliverables against roadmap milestones and communicate risks or dependencies.

Required Qualifications:
  • Hands-on experience with Databricks, Delta Lake, and Apache Spark for large-scale data engineering.
  • Deep understanding of ELT pipeline development, orchestration, and monitoring in cloud-native environments.
  • Experience implementing Medallion Architecture (Bronze/Silver/Gold) and working with data versioning and schema enforcement in enterprise grade environments.
  • Strong proficiency in SQL, Python, or Scala for data transformations and workflow logic.
  • Proven experience integrating enterprise platforms (e.g., PeopleSoft, Salesforce, D2L) into centralized data platforms.
  • Familiarity with data governance, lineage tracking, and metadata management tools.

Preferred Qualifications:
  • Experience with Databricks Unity Catalog for metadata management and access control.
  • Experience deploying ML models at scale using MLFlow or similar MLOps tools.
  • Familiarity with cloud platforms like Azure or AWS, including storage, security, and networking aspects.
  • Knowledge of data warehouse design and star/snowflake schema modeling.

Join Our Team:
At CMT Services, we believe that extraordinary results come from empowering exceptional people. If you're ready to lead innovative projects, solve complex challenges, and contribute to meaningful infrastructure development while advancing your career in a supportive, collaborative environment, we want to hear from you.
Disclaimer:
By submitting your resume for this job posting, you authorize CMT Services, Inc. to forward your resume to all applicable internal and external managers, agencies, and recruitment personnel for review and consideration to hire.

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