Senior Analytics Engineer

HarmonyCares is a national value-based provider of in-home primary care services for people with complex healthcare needs. The Senior Analytics Engineer transforms healthcare business needs into scalable, governed, analytics-ready data solutions, including data models, curated datasets, semantic models, and data products. The role supports reporting, advanced analytics, machine learning, and AI-enabled clinical and operational decision-making.

Responsibilities:

• Collaborate across clinical, operational, and business teams to deeply understand business processes and workflows, translating needs into scalable data models, curated datasets, standardized metrics, and AI-ready data assets that support analytics, machine learning, and decision-making
• Simplify and operationalize complex data and AI requirements by decomposing problems, identifying key assumptions, and designing maintainable, production-grade data and feature pipelines
• Design, build, and optimize data transformation pipelines and analytics models using cloud platforms (e.g., Azure Data Factory, Databricks, Microsoft Fabric)
• Develop and maintain feature engineering pipelines to support machine learning use cases (e.g., risk scoring, readmission prediction, utilization forecasting)
• Build reusable data marts and feature stores that serve both BI and AI/ML workloads
• Partner with data scientists and ML engineers to prepare high-quality, model-ready datasets and ensure consistency between training and inference data
• Help embed AI/ML outputs into clinical and operational workflows (e.g., alerts, prioritization queues, decision support tools)
• Develop and optimize semantic models, curated datasets, and dashboards in Databricks/Power BI/Tableau, ensuring alignment with standardized metrics and ML-derived insights
• Work hands-on with healthcare datasets, including claims, clinical, and operational data, ensuring correct interpretation for both analytics and ML use cases
• Ingest, transform, and normalize healthcare data using standards such as ICD-10, CPT, NDC, ensuring interoperability and consistency
• Employees will be required to perform other job-related assignments as requested

Requirements:

• Bachelor's degree in information technology, Computer Science, or a related field, or equivalent experience
• 5+ years of experience working with healthcare data in analytics engineering, data engineering, or related data-focused roles, with increasing ownership of data modeling and analytics solutions
• Strong prior experience working with claims and clinical datasets across payer and/or provider environments, with the ability to translate data into actionable insights
• Prior experience designing and building scalable data models, curated data marts, and semantic layers to support BI and analytics use cases
• Deep understanding of healthcare data standards and vocabularies (e.g. ICD-10, CPT, SNOMED) and their application in analytics and interoperability use cases
• Experience with cloud data platforms (Azure preferred; AWS or GCP acceptable), including modern data stack components such as data lakes/lakehouses, distributed processing (e.g., Databricks/Spark), and orchestration tools
• Strong proficiency in SQL and experience with at least one programming language such as Python or Scala, with an emphasis on data transformation, validation, and performance optimization
• Familiarity with feature engineering and preparing ML-ready datasets, including assembling training datasets and supporting data pipelines for predictive use cases
• Demonstrated ability to move from ambiguity to clarity by translating business problems into structured data solutions, with a focus on scalability over one-off builds
• Experience in a healthcare services, payer, or provider organization
• Strong communication skills with the ability to translate complex technical concepts into business-friendly insights and influence both technical and non-technical stakeholders
• Hands-on experience with Databricks (Spark, notebooks, Delta Lake, workflows) preferred
• Knowledge of CI/CD, infrastructure-as-code, or data platform automation preferred
• Prior experience with healthcare integration engines like Rhapsody, Mirth etc
• Prior experience with data governance, HIPAA compliance, and PHI handling