Senior Data Engineer

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    "description_html": "<p><br></p><p><strong>Company Overview:</strong></p><p><br>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. We are looking for a Senior Data Engineer to help optimize data pipelines and build a next-generation data infrastructure incorporating technologies such as Microsoft Fabric, Azure Synapse, Databricks, and Snowflake.</p><p>&nbsp;&nbsp;</p><p><strong>Job Summary:</strong></p><p><br></p><p>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.&nbsp;</p><p><br></p><p>&nbsp;<strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and optimize scalable ETL/ELT data pipelines for healthcare RCM processes</li><li>Build and maintain a modern data infrastructure incorporating Microsoft Fabric, Azure Synapse, Databricks, and Snowflake and other cloud technologies</li><li>Collaborate with data architects, analysts, and engineering teams to improve data accessibility and performance</li><li>Ensure data quality, security, and compliance with healthcare regulations (HIPAA, HITRUST)</li><li>Optimize database performance and implement best practices for data governance and metadata management</li><li>Work with structured and unstructured data, integrating diverse data sources such as EHR/EMR systems, claims data, and financial records</li><li>Implement real-time and batch data processing solutions using various cloud data platforms and tools</li><li>Support data integration with BI and analytics tools such as Power BI</li><li>Mentor junior engineers and contribute to technical best practices</li></ul><p>&nbsp;&nbsp;&nbsp;</p>",
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      "description": "<p>Description</p><p><br/></p><p><strong>Company Overview:</strong></p><p><br/>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. We are looking for a Senior Data Engineer to help optimize data pipelines and build a next-generation data infrastructure incorporating technologies such as Microsoft Fabric, Azure Synapse, Databricks, and Snowflake.</p><p>  </p><p><strong>Job Summary:</strong></p><p><br/></p><p>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. </p><p><br/></p><p> <strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and optimize scalable ETL/ELT data pipelines for healthcare RCM processes</li><li>Build and maintain a modern data infrastructure incorporating Microsoft Fabric, Azure Synapse, Databricks, and Snowflake and other cloud technologies</li><li>Collaborate with data architects, analysts, and engineering teams to improve data accessibility and performance</li><li>Ensure data quality, security, and compliance with healthcare regulations (HIPAA, HITRUST)</li><li>Optimize database performance and implement best practices for data governance and metadata management</li><li>Work with structured and unstructured data, integrating diverse data sources such as EHR/EMR systems, claims data, and financial records</li><li>Implement real-time and batch data processing solutions using various cloud data platforms and tools</li><li>Support data integration with BI and analytics tools such as Power BI</li><li>Mentor junior engineers and contribute to technical best practices</li></ul><p>   </p><p>Requirements</p><p>  </p><p><strong>Required Skills & Experience:</strong></p><p><br/></p><ul><li>5+ years of experience in data engineering or a related field</li><li>Expertise in SQL, Python, or Scala for data processing and transformation</li><li>Strong knowledge of Azure Data Services, including Microsoft Fabric, Azure Synapse, Databricks, and Snowflake, Azure Data Factory, Synapse, and Databricks</li><li>Experience working with large-scale data architectures in cloud environments</li><li>Proficiency in ETL/ELT workflows and data pipeline optimization</li><li>Hands-on experience with healthcare data (e.g., claims, EMR/EHR, HL7, FHIR)</li><li>Familiarity with data security, compliance, and governance best practices in healthcare</li><li>Ability to work in an agile, collaborative, and remote environment</li></ul><p><strong>Preferred Skills:</strong></p><ul><li>Experience with Microsoft Fabric, Azure Synapse, Databricks, and Snowflake in a production environment</li><li>Knowledge of other cloud-based data platforms and integration tools</li><li>Hands-on experience with Power BI, DAX, and data modeling</li><li>Experience with machine learning pipelines or predictive analytics in healthcare</li><li>Previous experience in RCM, insurance, or healthcare analytics</li></ul><p>   </p><p>   </p>",
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