Healthcare Analytics Engineer II
Budget / Salary$100,000–122,600
TypeFull-time job
LocationUnited States
Posted5 hours ago
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 on experience, expertise, location, internal equity, and business needs. 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. Learn how to spot them
Location:
Remote - MA
Pay 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
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 on experience, expertise, location, internal equity, and business needs. 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. Learn how to spot them
Location:
Remote - MA
Pay 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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