Lead Engineer, Big Data - Databricks

📋 Description

• Lead end-to-end data engineering initiatives as a Forward Deployed Engineer, taking ownership of
• Provide technical leadership and subject matter expertise across Azure Databricks, Azure Synapse
• Design and implement scalable, high-performance data architectures for large healthcare datasets
• Champion AI-first development practices, including AI-assisted coding workflows and Azure Machine
• Develop business intelligence solutions using tools such as Power BI and Tableau, integrated with
• Analyze business processes and identify opportunities to apply Azure data, AI, and platform

🎯 Requirements

• At least 6 years of experience in data management or data engineering across cloud data platforms
• Bachelor's degree in information technology, computer science, statistics, business, healthcare
• Strong hands-on experience with Microsoft Azure data services, particularly Azure Databricks, Azure
• Demonstrated experience implementing AI-assisted development practices and machine learning
• Strong proficiency in Python, PySpark, Scala, and SQL, together with experience in automated
• Experience designing and implementing real-time streaming architectures using technologies such as

🎁 Benefits

• Annual salary range of $96,325.57–$208,705.40 USD, with actual compensation determined by factors
• Competitive overall compensation package.
• Comprehensive employee benefits package.
• Full-time remote work opportunity within the United States.
• Opportunity to work with modern Azure cloud, Databricks, AI, machine learning, and big data
• Opportunity to lead high-impact healthcare data initiatives supporting clinical, financial