Note: The job is a remote job and is open to candidates in USA. HarmonyCares is a national value-based provider of in-home primary care services for people with complex healthcare needs. The Senior Analytics Engineer develops scalable, governed, analytics-ready healthcare data solutions, including data models, transformation pipelines, feature engineering pipelines, semantic models, and data products that support reporting, machine learning, and decision-making. The role collaborates with clinical, operational, data science, and engineering stakeholders to improve data quality and embed AI/ML insights into workflows.
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
Skills
- 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
Benefits
- Health, Dental, Vision, Disability & Life Insurance
- 401K Retirement Plan (with company match)
- Tuition, Professional License and Certification Reimbursement
- Paid Time Off, Holidays and Volunteer Time
- Paid Orientation and Training
- Remote work
Company Overview
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