Data Engineer

We are looking for a Data Engineer to support analytics and data product development for a healthcare-focused team in Florida. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building scalable reporting solutions, creating modern data products, and improving how business users access insights. The role combines hands-on dashboard development with engineering work in Databricks, helping expand advanced analytics capabilities across a lakehouse-based environment.

Responsibilities:

• Design and deliver interactive dashboards and reporting solutions that support business decision-making across the analytics function.
• Build and enhance data products within Databricks to provide reliable, user-friendly access to operational and analytical insights.
• Develop and maintain ETL pipelines using Python, Apache Spark, and Azure-based data services to prepare data for reporting and analysis.
• Create scalable data models and curated datasets in Azure Data Lake and related platforms to support self-service analytics.
• Contribute to AI-enabled business intelligence solutions using Databricks tools and lakehouse technologies.
• Partner with analytics stakeholders to translate reporting needs into technical solutions that are accurate, efficient, and maintainable.
• Support the evolution of reporting assets, including work associated with shifting Power BI-based reporting into Databricks environments.
• Monitor data quality, troubleshoot reporting issues, and optimize performance across dashboards, pipelines, and data assets.
• Relevant experience in data engineering, BI development, or data product development roles.
• Strong hands-on expertise with Databricks, including Azure Databricks in enterprise data environments.
• Proficiency in Python and Apache Spark for data transformation, pipeline development, and large-scale processing.
• Experience designing and supporting ETL workflows and integrating data from multiple sources.
• Working knowledge of Azure Data Lake, data lake architectures, and Azure SQL Database.
• Experience building dashboards, reports, or interactive analytics solutions for business users.
• Ability to work effectively with cross-functional teams to gather requirements and deliver practical data solutions.