nimble solutions
nimble solutions is a company focused on innovative online solutions, offering services related to payment processing, account management, and invoicing. It leverages web-based technologies to provide efficient and user-friendly platforms for managing financial transactions and accounts. The company aims to simplify complex billing and payment processes for businesses.
Ambulatory Surgery Centers • Complete Revenue Cycle Outsourcing • Coding • Billing • Revenue Cycle Management
Data Engineer
February 28
nimble solutions
nimble solutions is a company focused on innovative online solutions, offering services related to payment processing, account management, and invoicing. It leverages web-based technologies to provide efficient and user-friendly platforms for managing financial transactions and accounts. The company aims to simplify complex billing and payment processes for businesses.
Ambulatory Surgery Centers • Complete Revenue Cycle Outsourcing • Coding • Billing • Revenue Cycle Management
📋 Description
• Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data into actionable insights. • Help optimize data pipelines and build a next-generation data infrastructure incorporating technologies such as Microsoft Fabric, Azure Synapse, Databricks, and Snowflake. • Play a crucial role in designing, building, and maintaining robust data pipelines and architectures. • Optimize data workflows and ensure scalability. • Collaborate with cross-functional teams to enhance healthcare data analytics and operational efficiency.
🎯 Requirements
• 3+ years of experience in data engineering or a related field • Expertise in SQL for data processing, transformation, and performance optimization • Proficiency in Python or Scala for data engineering workflows • Strong knowledge of Azure Data Services, including Microsoft Fabric, Azure Synapse, Databricks, Snowflake, Azure Data Factory, Synapse, and Databricks • Experience working with large-scale data architectures in cloud environments • Proficiency in ETL/ELT workflows and data pipeline optimization • Hands-on experience with healthcare data (e.g., claims, EMR/EHR, HL7, FHIR) • Familiarity with data security, compliance, and governance best practices in healthcare • Ability to work in an agile, collaborative, and remote environment
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