Databricks Engineer

Overview As a hands-on Databricks Engineer, you will design, build, and operate scalable data and analytics solutions to support government missions. You apply core Databricks capabilities, modern data architectures, and disciplined SDLC practices to deliver AI-enabled analytics and ML-driven insights. You will operate in a regulated environment, collaborating with cross-functional teams to solve operational and decision-support challenges. This role offers impact at scale, shaping data-driven outcomes in a mission-critical setting. Compensation / Benefitshealth, life, and disability benefitsretirement benefitspaid leaveprofessional developmenttuition assistancework-life programs ResponsibilitiesDesign, build, and operate scalable data and analytics solutions on the Databricks platformApply AI-enabled analytics and ML techniques to real-world problemsDevelop and maintain production data pipelines using Delta Lake, Unity Catalog, and Databricks clusters/jobsIntegrate Databricks workflows with CI/CD pipelines and enterprise SDLC toolingCollaborate with cross-functional teams to align data solutions with government requirementsEnsure compliance with regulated SDLC environments and data governance practices Key requirements3+ years in data engineering or analytics engineering roles2+ years of experience with the Databricks platformExperience in PySpark and Spark SQLProduction experience with Delta Lake and Unity CatalogDatabricks clusters, jobs/workflows knowledgeCI/CD pipelines and enterprise SDLC tooling experiencePython proficiency for data engineering and ML workflowsCloud platform experience (AWS, Azure, or GCP) and their data servicesAbility to operate in structured, compliance-driven government environmentsAbility to obtain Public Trust or Suitability/Fitness determinationBachelor’s degreeDatabricks platformPySparkSpark SQLDelta LakeUnity CatalogCI/CD pipelines