Healthcare Analytics Engineer II

Company: AHI agilon health , inc. Job Posting Location : Remote - USA Job Title: ​ Healthcare Analytics Engineer II Job Description: ​ Essential Job Functions: - Design, develop, and maintain scalable data models that support enterprise reporting, analytics, and operational decision-making - Build, optimize, and maintain robust ETL/ELT pipelines using modern data transformation frameworks - Develop and maintain curated datasets that improve data accessibility, consistency, and usability across business domains - Partner with business stakeholders to gather requirements and translate business needs into scalable analytical solutions - Lead efforts to improve data quality through validation, testing, monitoring, and implementation of data governance best practices - Monitor and troubleshoot production data pipelines, proactively identifying and resolving performance or reliability issues - Develop reusable SQL and Python-based solutions to automate data transformations and reporting processes Other Job Functions: - Understand, adhere to, and implement the Company's policies and procedures - Build collaborative relationships with business and technical stakeholders across the organization - Drive continuous improvement by identifying opportunities to automate, standardize, and optimize analytics workflows - Communicate technical concepts effectively to both technical and non-technical audiences - Demonstrate accountability, initiative, and ownership of project deliverables - Stay current with emerging technologies and industry best practices in analytics engineering and healthcare analytics - Support cross-functional projects and contribute to strategic enterprise analytics initiatives Required Qualifications: Minimum Experience - 4–7 years of experience developing analytics solutions, data transformation pipelines, or enterprise reporting platforms - Advanced proficiency in SQL, including performance optimization and complex query development - Strong proficiency in Python or similar programming language for data transformation and automation - Experience designing and maintaining dimensional data models and curated analytical datasets supporting Medicare Advantage, value-based care, population health, or healthcare operations - Experience working with modern ETL/ELT methodologies and production data pipelines Preferred Experience - Experience with cloud data platforms such as Snowflake, SQL Server, or similar modern data warehouses - Strong experience with DBT or comparable data transformation frameworks - Experience using VS Code, Git/Bitbucket, and CI/CD development practices - Experience implementing automated data quality testing and monitoring Experience mentoring junior team members and participating in technical design discussions Education: - Bachelor's degree in Mathematics, Computer Science, Statistics, Engineering, Information Systems, or a related field required - Master's degree preferred but not required Skills and Abilities: - Strong ability to translate complex business requirements into scalable and maintainable data models - Advanced SQL development and query optimization skills - Strong understanding of dimensional modeling, data warehousing principles, and modern analytics engineering practices - Experience designing reliable, scalable, and well-documented data pipelines - Strong analytical and problem-solving abilities with excellent attention to detail - Ability to independently prioritize multiple projects in a fast-paced environment - Excellent written and verbal communication skills with the ability to communicate effectively across technical and business audiences - Ability to mentor junior engineers and contribute to team technical growth - Passion for continuous learning and improving healthcare through data and analytics “The posted salary range reflects the anticipated base salary hiring range only. Final compensation will be based