Senior Analytics Engineer

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🇺🇸 United States – Remote

💵 $130k - $185k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

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HarmonyCares

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1993

🏥 Healthcare

⚕️ Healthcare Insurance

💰 Venture Round on 2021-11

Healthcare • Healthcare Insurance • Home Health

HarmonyCares is a leading provider of comprehensive, home-based healthcare services across 15 states in the U. S. The company specializes in in-home physician care, skilled nursing, therapy, and hospice care for patients, particularly those with Medicare and complex medical conditions. HarmonyCares aims to offer dignified, patient-centered care, allowing individuals to maintain their health and independence in the comfort of their own homes.

📋 Description

• Transform complex healthcare business needs into scalable, governed, analytics-ready data solutions • Collaborate with clinical, operational, and business teams to understand workflows and translate needs into data models, curated datasets, standardized metrics, and AI-ready data assets • Decompose complex data and AI requirements and design maintainable, production-grade data and feature pipelines • Design, build, and optimize data transformation pipelines and analytics models using cloud platforms such as Azure Data Factory, Databricks, and Microsoft Fabric • Develop and maintain feature engineering pipelines for machine learning use cases • Build reusable data marts and feature stores for BI and AI/ML workloads • Partner with data scientists and ML engineers to prepare model-ready datasets and align training and inference data • Embed AI/ML outputs into clinical and operational workflows • Develop and optimize semantic models, curated datasets, and dashboards in Databricks, Power BI, and Tableau • Work with claims, clinical, and operational healthcare datasets • Ingest, transform, and normalize healthcare data using ICD-10, CPT, and NDC standards • 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 • Strong experience with claims and clinical datasets across payer and/or provider environments • Experience designing and building scalable data models, curated data marts, and semantic layers • Deep understanding of healthcare data standards and vocabularies, including ICD-10, CPT, and SNOMED • Experience with cloud data platforms, preferably Azure; AWS or GCP acceptable • Experience with data lakes/lakehouses, distributed processing such as Databricks/Spark, and orchestration tools • Strong proficiency in SQL • Experience with at least one programming language such as Python or Scala • Familiarity with feature engineering and preparing ML-ready datasets • Experience translating business problems into structured, scalable data solutions • Experience in a healthcare services, payer, or provider organization • Strong communication skills and ability to translate complex technical concepts into business-friendly insights • Hands-on experience with Databricks preferred • Knowledge of CI/CD, infrastructure-as-code, or data platform automation preferred • Prior experience with healthcare integration engines such as Rhapsody or Mirth preferred • Prior experience with data governance, HIPAA compliance, and PHI handling preferred

🏖️ 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

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