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
- 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
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
- 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
- Bachelor's degree in Mathematics, Computer Science, Statistics, Engineering, Information Systems, or a related field required
- Master's degree preferred but not required
- 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
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Location:
Remote - MA
Pay Range:
$100,000.00 - $122,600.00
Salary range shown is a guideline. Individual compensation packages can vary based on factors unique to each candidate, such as skill set, experience, and qualifications.
