Databricks Engineer

EEOC

Databricks Engineer designing and operating scalable data and analytics solutions for government needs. Leveraging AI-enabled analytics and machine learning to address operational challenges.

Posted 6/30/2026full-timeBethesda • District of Columbia, Maryland • 🇺🇸 United StatesMid-LevelSenior💰 $62,000 - $141,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating scalable data and analytics solutions, with a strong focus on AI-enabled analytics and machine learning techniques. Proficient in leveraging Databricks and cloud platforms to support government mission needs while ensuring compliance in structured environments.

Highest-signal resume keywords

Data Engineering ExperienceDatabricks Platform ProficiencyPySpark and Spark SQL KnowledgeCloud Platforms (AWS, Azure, GCP)Public Trust or Suitability/Fitness Determination

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAnalytics EngineeringAI-Enabled AnalyticsMachine Learning TechniquesPySparkSpark SQLDatabricks ClustersDelta LakeUnity CatalogCI/CD Integration

Soft Skills

Effective CommunicationProblem-Solving

Tools & Technologies

DatabricksAWSAzureGCP

Industry Keywords

Government CompliancePublic TrustSuitability/Fitness Determination

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPySparkPythonSDLCSparkSQLUnity

About the role

Key responsibilities & impact

Design, build, and operate scalable data and analytics solutions supporting government mission needs
Apply AI-enabled analytics and machine learning techniques to solve operational and decision-support problems

Requirements

What you’ll need

3+ years of experience in data engineering or analytics engineering roles
2+ years of experience with the Databricks platform
Experience in PySpark and Spark SQL
Experience with Databricks clusters, jobs or workflows, Delta Lake, and Unity Catalog in production environments
Experience integrating Databricks with CI / CD pipelines and enterprise SDLC tooling
Knowledge of Python for data engineering and ML workflows
Knowledge of cloud platforms such as AWS, Azure, or GCP and their data services
Ability to operate effectively in structured, compliance-driven government environments
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor’s degree

Benefits

Comp & perks

Health, life, disability, financial, and retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards for exceptional performance