Healthcare Analytics Engineer II
Agilon Health
- Remote · United States
- Remote
- $100K – $123K /yr
- Mid Level
- 4+ years
- Bachelor's degree
- Posted
Skills
Required
- analytics
- data transformation pipelines / enterprise reporting platforms
- SQL
- performance optimization
- complex query development
- Python
- data transformation
- automation
- datasets
- modern ETL/ELT methodologies
- production data pipelines
Preferred
- healthcare analytics
- cloud data platforms
- Snowflake
- Server
- modern data warehouses
- DBT
- data transformation frameworks
- Code
- Git / Bitbucket
Candidates with exceptional experience may be considered within the broader compensation range, where appropriate.” Protect yourself: agilon health will never send unsolicited job offers or request payments or financial information. Such communications are fraudulent.
About Agilon Health
AHI agilon health, inc.
Responsibilities
- 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
Requirements
- 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
- 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 “The posted salary range reflects the anticipated base salary hiring range only.
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
Pay
- Final compensation will be based on experience, expertise, location, internal equity, and business needs.
- 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.
