
Healthcare Analytics Engineer II
Required skills
- scalable data models
- enterprise reporting
- analytics
- operational decision-making
- ETL/ELT pipelines
- data transformation frameworks
- curated datasets
- data accessibility
- data consistency
- data usability
Nice to have
- cloud data platforms
- SQL Server
- modern data warehouses
- DBT
- VS Code
- Git/Bitbucket
Role summary
agilon health is seeking a Healthcare Analytics Engineer II to design, develop, and maintain scalable data models and ETL/ELT pipelines. This remote role involves building curated datasets, translating business needs into analytical solutions, and leading data quality initiatives. The engineer will monitor and troubleshoot production data pipelines, develop reusable SQL and Python solutions, and adhere to company policies. The position requires 4-7 years of experience in analytics solutions, data transformation, or reporting platforms, with advanced SQL and strong Python proficiency. Experience with healthcare-specific data domains and cloud data platforms is highly valued.
Company:
AHI agilon health, inc.Job Posting Location:
Remote - USAJob Title:
Healthcare Analytics Engineer IIJob 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 on experience, expertise, location, internal equity, and business needs. Candidates with exceptional experience may be considered within the broader compensation range, where appropriate.”
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Location:
Remote - MAPay Range:
$100,000.00 - $122,600.00Salary range shown is a guideline. Individual compensation packages can vary based on factors unique to each candidate, such as skill set, experience, and qualifications.
Originally posted on Himalayas
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