Databricks Platform Engineer on AWS

We are looking for a hands-on Databricks Data Engineer with strong AWS experience to design, build, and optimize scalable data pipelines and lakehouse solutions. The role focuses on implementing robust batch and streaming data solutions using Databricks, Delta Lake, and AWS cloud-native services, ensuring high performance, scalability, and security. Key Responsibilities (Data Engineering & Pipeline Development) Build and maintain end-to-end data pipelines using Databricks, Delta Lake, and AWS se

Role: Senior Databricks Platform Practitioner Location: Remote Core Responsibilities The practitioner participates fully in pod ceremonies including standups, sprint planning, retrospectives, and demos. They provide real-time architectural guidance and PR review feedback on pipelines, transformations, and data product work being built within the pod. Where co-development accelerates learning, they pair directly with engineers on active deliverables. Where patterns are drifting from the intended

Lead Databricks Developer Location: Remote Job Description: Were looking for a hands-on Lead Databricks Developer to design and scale modern data platforms using Spark and Lakehouse architecture. What Youll Do Lead development on Databricks (AWS/Azure/Google Cloud Platform)Build and optimize ETL/ELT pipelines using PySpark & Spark SQLDesign scalable Delta Lake / Lakehouse solutionsDrive performance tuning, data quality & governanceMentor engineers and own end-to-end technical deliveryWhat You Br

Job Title:Databricks Data EngineerLocation:Remote with Quarterly travel to Gaithersburg, MDDuration: 6 monthsPR: $68.50/hr on W2Security Clearance Required: PUBLIC TRUSTGreater DC Area preferredJob Description:Client is seeking a Databricks Data Engineer to develop/support new/existing data pipelines, and data analytics environments in Azure cloud-based data lake. As a data engineer, you will translate business requirements to data engineering solutions to support an enterprise scale Microsoft A