Job Title: Databricks Data Engineer Location: 100% Remote (U.S.-based) with quarterly travel to Gaithersburg, MD Security Clearance: Active Public Trust required
Pay : $60.00 - $63.00 per hour 26-00708
Job Summary:
Our client is seeking a Databricks Data Engineer to design, develop, and maintain scalable data pipelines and analytics solutions within an Azure cloud-based data lake. The ideal candidate will translate business requirements into robust data engineering solutions, support ETL operations, and maintain high-quality, enterprise-scale analytics environments. This role emphasizes Databricks expertise, cloud architecture, advanced AI workflows, and cross-functional collaboration to deliver innovative data solutions. Key Responsibilities:
Design, build, and optimize scalable data solutions using Databricks and Medallion Architecture
Develop and maintain ingestion routines for multi-terabyte datasets across multiple projects and Databricks workspaces
Integrate structured and unstructured data to enable actionable business insights
Implement data management strategies to ensure integrity, availability, and accessibility
Monitor platform performance, manage Spark optimization, cluster stability, and configuration management
Collaborate with data science and analytics teams to enable AI-driven workflows
Integrate Databricks pipelines with Azure services such as Functions, Storage Services, Data Factory, Log Analytics, and User Management
Provision and manage infrastructure using Infrastructure-as-Code (IaC) best practices
Apply data governance, security, and compliance standards in line with federal regulations and public trust requirements
Gather business requirements and translate them into architecture and interface solutions
Document solutions clearly, including architecture diagrams and workflow documentation
Required Qualifications:
U.S. Citizen
BS in Computer Science or related field (3+ years experience) OR MS in CS or related field (2+ years experience)
3+ years experience developing ingestion flows (structured, streaming, and unstructured) on cloud platforms with data quality controls
Databricks Data Engineer certification with 2+ years maintaining Databricks platforms and Spark development
Proficient in Python and Spark; R is required; .NET experience is a plus
Experience with data governance, metadata management, enterprise data catalogs, and data security
Agile methodology experience, CI/CD automation, and cloud-based development (Azure preferred, AWS a plus)
Strong client-facing skills; able to document and communicate solutions effectively
Preferred Qualifications:
Azure cloud certifications
Knowledge of FinOps principles and cost management
Additional certifications or advanced degrees are a plus
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Jan 24, 2026