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Databricks Developer Jobs in Washington (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 ...

Plateau Software Inc

Azure Databricks Engineer

Fairfax, VA · On-site

$57.50 - $76.75/hr

Familiarity with DevOps/CI-CD pipelines, GitHub Enterprise, and Infrastructure as Code (Terraform ... Azure Databricks. Plateau is an equal opportunity/affirmative action employer; all qualified ...

CMT Services Inc

Databricks Engineer

Hyattsville, 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 ...

Navstar

Azure Databricks Engineer

Fairfax, VA · On-site

$57.50 - $76.75/hr

Familiarity with DevOps/CI-CD pipelines, GitHub Enterprise, and Infrastructure as Code (Terraform ... Databricks. Plateau does not accept unsolicited resumes from third-party recruiters without a ...

Angarai

Databricks Engineer

College Park, MD · On-site

Overview We are seeking a highly skilled Databricks Engineer to design, build, and operate a modern Data & AI Platform leveraging the Medallion Architecture (Bronze, Silver, Gold). This role will ...

Capgemini

Databricks Data Engineer

Mclean, VA · On-site

$117K - $141K/yr

As a Databricks Engineer, you will: * Install, configure, and administer Databricks instance, including managing connections and interfaces with external applications and data repositories * Develop ...

Deloitte

Sr Databricks Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ... Databricks on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) • ...

Deloitte

Sr Databricks Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ... As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and ...

Deloitte

Sr Databricks Data Engineer

Rosslyn, VA · On-site

$130K - $156K/yr

Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ... As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and ...

Deloitte

Databricks Engineering Consultant

Rosslyn, VA · On-site

Work you'll do As a Data Engineer II on the AI & Data team, you will be responsible for: * Designing, developing, testing, and maintaining scalable data pipelines and data products on the Databricks ...

Plateau Software Inc

Azure Databricks Engineer

Fairfax, VA · On-site

$96K - $132K/yr

Familiarity with DevOps/CI-CD pipelines, GitHub Enterprise, and Infrastructure as Code (Terraform ... Databricks. Plateau does not accept unsolicited resumes from third-party recruiters without a ...

Plateau Software, Inc.

Azure Databricks Engineer

Fairfax, VA · On-site

$59.50 - $77.50/hr

Familiarity with DevOps/CI-CD pipelines, GitHub Enterprise, and Infrastructure as Code (Terraform ... Databricks. Plateau does not accept unsolicited resumes from third-party recruiters without a ...

Plateau Software, Inc.

Azure Databricks Engineer

Fairfax, VA · On-site

$61.75 - $80.50/hr

Familiarity with DevOps/CI-CD pipelines, GitHub Enterprise, and Infrastructure as Code (Terraform ... Databricks. Plateau does not accept unsolicited resumes from third-party recruiters without a ...

Booz Allen Hamilton

Databricks Engineer, Mid

Mclean, VA

$62K - $141K/yr

Databricks Engineer, Mid The Opportunity: As a Data Engineer on the Databricks platform at Booz Allen, you'll support mission-critical data initiatives for defense, intelligence, and civil clients.

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How much do databricks developer jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for databricks developer in Washington is $69.64, according to ZipRecruiter salary data. Most workers in this role earn between $62.60 and $77.07 per hour, depending on experience, location, and employer.

What is a Databricks Developer job?

A Databricks Developer is responsible for designing, developing, and optimizing data pipelines and workflows using Databricks, a cloud-based data analytics platform. They work with big data technologies, such as Apache Spark, to process, transform, and analyze large datasets efficiently. Their role includes writing scalable code, creating data models, and collaborating with data engineers and analysts to support business intelligence and machine learning initiatives.

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

To thrive as a Databricks Developer, you need strong skills in data engineering, Spark programming, SQL, and cloud platforms, typically with a background in computer science or a related field. Hands-on experience with Databricks, Apache Spark, Python/Scala, and knowledge of cloud services like AWS or Azure, as well as relevant certifications, are highly valued. Analytical thinking, problem-solving, effective communication, and the ability to collaborate across teams are essential soft skills for this role. These abilities are crucial to designing scalable data solutions, streamlining data pipelines, and supporting business analytics in modern data-driven organizations.

What are the typical daily responsibilities of a Databricks Developer?

As a Databricks Developer, your typical day involves designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark. You’ll collaborate with data engineers, data scientists, and business analysts to ensure data is clean, accessible, and reliable for analytics and reporting. Tasks often include code reviews, optimizing data workflows, troubleshooting performance issues, and implementing best practices for data security and governance. This role offers a dynamic work environment that blends technical challenge with teamwork across multiple departments.
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Databricks Developer jobs near you
Infographic showing various Databricks Developer job openings in Washington as of May 2026, with employment types broken down into 88% Full Time, 2% Part Time, and 10% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $144,860 per year, or $69.6 per hour.
Databricks Engineer

Databricks Engineer

CMT Services Inc.

Adelphi, MD • On-site

Contractor

Posted 23 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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