REMOTE: Data Engineer ( Databricks )

Data Engineer (Databricks | Healthcare Analytics)The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and data platforms that support enterprise analytics, business intelligence, and clinical reporting. This role plays a critical part in enabling data-driven decision-making by integrating data from Electronic Medical Record (EMR) systems and other healthcare sources into a modern data ecosystem. The ideal candidate has strong experience withDatabricks

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

We are seeking an experienced Data Engineer with strong expertise in Databricks and Azure Cloud to support large-scale data migration and modernization initiatives. The ideal candidate will have hands-on experience with data ingestion, ETL/ELT pipelines, data deduplication, metadata tagging, and Spark-based technologies. Required Skills: Strong experience with Azure Databricks, PySpark, and Azure Data Factory Experience building scalable data ingestion and ETL pipelines Expertise in data dedupli

Required Qualifications Architecture & Design Define and design end-to-end data lakehouse architecture leveraging Databricks, Delta Lake, and cloud-native services. Create reference architectures for batch, real-time, and streaming data pipelines. Architect data ingestion, curation, storage, and governance frameworks. Ensure the platform is scalable, secure, and optimized for performance and cost. Establish standards for data lineage, metadata management, and compliance. Work with enterprise ar