Nimble
Nimble is the simple, smart CRM for small business teams using Microsoft 365 or Google Workspace. It combines the strength of CRM, contact management, social media insights, sales intelligence, pipeline management, and marketing automation into a unified relationship management platform that delivers valuable company and contact insights â everywhere you work.
11 - 50 employees
Senior Data Engineer
Job not on LinkedIn
March 4
Nimble
Nimble is the simple, smart CRM for small business teams using Microsoft 365 or Google Workspace. It combines the strength of CRM, contact management, social media insights, sales intelligence, pipeline management, and marketing automation into a unified relationship management platform that delivers valuable company and contact insights â everywhere you work.
11 - 50 employees
đ Description
⢠Company Overview: Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data into actionable insights. ⢠We leverage cutting-edge technology to streamline financial and operational processes, improving efficiency and patient outcomes. ⢠Job Summary: As a Senior Data Engineer, you will play a crucial role in designing, building, and maintaining robust data pipelines and architectures. ⢠You will optimize data workflows, ensure scalability, and contribute to the development of a new data infrastructure that integrates with Microsoft Fabric, Azure Synapse, Databricks, and Snowflake and other cloud-based technologies. ⢠This role requires expertise in cloud-based data solutions, big data processing, and the ability to collaborate with cross-functional teams to enhance healthcare data analytics and operational efficiency.
đŻ Requirements
⢠5+ years of experience in data engineering or a related field ⢠Expertise in SQL, Python, or Scala for data processing and transformation ⢠Strong knowledge of Azure Data Services, including Microsoft Fabric, Azure Synapse, Databricks, and 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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