Data Engineer

P3 Health Partners is a physician-led organization focused on transforming health care into wellness guidance. The Data Engineer will be responsible for designing and developing data engineering platforms, ensuring data quality and performance, and collaborating across functions to align data processes with business priorities.

Responsibilities:

• Design, build, and operate data pipelines and databases that support analytics and reporting
• Contribute directly to development while adhering to engineering standards and best practices
• Develop and monitor data quality, availability, and performance across assigned data platforms and workflows
• Continuously evaluate and recommend improvements to data engineering architecture, tools, and processes

Requirements:

• Strong knowledge of database technologies, data modeling techniques, and performance optimization, with hands-on proficiency in SQL for querying, transforming, and managing data across relational and analytical systems
• Deep understanding of data engineering concepts, including data ingestion, transformation, orchestration, data modeling, and storage across modern data platforms, with practical experience building and maintaining ELT/ETL pipelines and data warehousing solutions
• Proficiency in Python for data engineering tasks, including pipeline development, automation, and data transformation workflows
• Experience working within cloud environments such as Microsoft Fabric, Azure or equivalent platforms, including deploying and maintaining data infrastructure and services
• Experience following and contributing to engineering best practices, including version control, testing, CI/CD, and documentation
• Working knowledge of data governance, security, and privacy principles as they apply to data engineering workflows and pipelines
• High degree of ownership, accountability, and operational discipline in managing and delivering data engineering work
• 4+ years of progressive experience in data engineering, analytics engineering, or related technical roles
• 4+ years of hands-on experience with SQL for data engineering, data modeling, transformation, and analytical workloads; Python experience a plus
• 3+ years of hands-on experience in data modeling, ELT/ETL pipeline development, data warehousing, and data management, including Azure Data Factory for pipeline orchestration and data movement
• 3+ years of cloud environment experience such as Azure
• Demonstrated experience contributing as a hands-on technical team member on data platform projects, including pipeline development, architecture participation, and code reviews
• Experience following and contributing to data quality, monitoring, and reliability processes
• Experience partnering with business, analytics, and product stakeholders to translate requirements into technical solutions
• Bachelor's in Computer Science or a related field, or equivalent experience
• Experience in Microsoft Fabric is a plus
• Master's degree a plus