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Healthcare Analytics Engineer II

Agilon Health

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.