Senior Data Engineer with Databricks - Only W2

Must Have Technical/Functional Skill Hands on expertise in Databricks, Spark, SQL, cloud based ETL pipelines, CI/CD, and scalable data engineering with strong software engineering fundamentals. Roles & Responsibilities Design, develop, test, and deliver high quality software solutions aligned with business requirements.Build, optimize, and maintain scalable data engineering solutions using Databricks and Apache Spark.Architect and manage distributed data pipelines to ensure performance, reliabil

Position: Senior Azure Databricks Platform Engineer Location: Remote Duration: 6-12 months Domain Focus: Databricks, Azure Cloud, Enterprise Data Platforms, Platform Engineering, DevOps Enablement Key Responsibilities: Databricks Platform Engineering & Operations Support architecture and operational engineering across enterprise Databricks environments Design and maintain scalable Lakehouse, Delta Lake, and Unity Catalog solutions Support administration of: Databricks Workspaces Jobs Note

# of Openings: 2 Note: W2 Independent Contractors -EAD only. Title: Databricks Platform Engineer on AWS Locations: Remote, East Coast Preferred but not mandatory Start Date: 04/08/2026 End Date: 01/07/2027 Role Summary We are seeking a Databricks Platform Engineer to implement and operationalize core platform capabilities on Databricks running on AWS. This role focuses on frameworks, automation, observability, and reliable delivery aligned to established platform standards. Key Responsibilities

Key Responsibilities Champion Best Practices: Establish, document, and promote best-in-class approaches for data architecture, integration, and modelling. Pipeline Ownership: Oversee the design, development, and maintenance of robust data pipelines and data architectures that support large-scale, enterprise data needs. Drive Excellence: Initiate and manage efforts to improve data quality, operational efficiency, and process scalability. Data Governance: Consult on, design, and implement gove