Lead Data Engineer

Humana Inc. is a leading U.S. healthcare company seeking a highly skilled Lead Data Engineer to join their Home Health Data Engineering team. The role involves designing, building, and optimizing cloud-based data platforms while implementing scalable data solutions to support business strategies.

Responsibilities:

• Serve as a technical expert for Snowflake and Azure, leading hands-on implementation across ingestion, transformation, orchestration, and platform optimization
• Develop and maintain API-driven integrations using MuleSoft, enabling secure, scalable connectivity between cloud and on-prem systems
• Drive the migration from on-prem SQL Server environments to Snowflake, including re-architecting pipelines, data models, and workflows for the cloud
• Implement engineering best practices, including CI/CD for data, infrastructure-as-code, version control, testing frameworks, and observability
• Independently troubleshoot complex data and platform issues, identifying root causes and designing effective long-term solutions
• Collaborate with data architects, analysts, and business partners to translate requirements into robust, production-ready solutions
• Mentor and support data engineers, providing technical guidance, code reviews, and thought leadership to elevate engineering standards
• Optimize data models, storage patterns, and compute usage to ensure cost-efficient and high-performance operations
• Partner with IT, security, and governance teams to ensure compliance, data quality, and secure handling of sensitive healthcare data
• Evaluate and introduce new tools, frameworks, and cloud capabilities that enhance our data platform and engineering productivity

Requirements:

• 8+ years' extensive hands‑on experience with Snowflake, including performance tuning, data modeling, RBAC, tasks, streams, and secure data sharing
• 8 years' strong expertise in Azure cloud services, such as Data Factory, Databricks, Functions, Storage, Key Vault, and Azure DevOps
• Proficiency in SQL, Python, and modern ETL/ELT frameworks
• Experience working with MuleSoft for API‑driven integrations, data movement, and connecting cloud and on‑prem systems
• Experience with CI/CD pipelines, Git‑based workflows, and infrastructure‑as‑code (Terraform, Bicep, or similar)
• Strong understanding of data architecture, distributed systems, and cloud platform engineering
• Ability to work independently, take ownership of complex technical initiatives, and drive them to completion
• Demonstrated strength as a creative and analytical problem solver, capable of navigating ambiguity and designing effective solutions
• Ability to lead technical discussions, influence design decisions, and mentor engineers
• Experience working with healthcare data is a plus