Senior Data Engineer

About Us::

A pioneer in the caregiving space, Careforth supports family caregivers across the United States to confidently care for their loved ones at home. Through a combination of in-person home visits, remote coaching and our proprietary digital collaboration app, we provide caregivers with support, guidance, confidence, and connection to resources they need. The Caregivers and families we support stay with Careforth for many years, building lasting relationships along the way. Join us today and live our values: *lead with heart, cultivate trust, go beyond.* Position Summary::

The Senior Data Engineer will be a cornerstone of Careforth’s data platform team, architecting and operating the cloud-native, lakehouse-based infrastructure that powers our full suite of AI and analytics products — from clinical and caregiver risk intelligence to LLM-enabled chatbots, real-time signal capture, and payer-facing outcome reporting. The ideal candidate brings deep, hands-on expertise with Databricks, Apache Spark, and AWS Cloud services, and can serve as both a technical leader and mentor. You will own end-to-end pipeline design from raw source ingestion through curated analytics-ready datasets, ensuring data systems are reliable, scalable, and HIPAA-compliant. What You Will Do:: * Architect and build robust, scalable, and secure data pipelines leveraging Databricks (Delta Lake, Spark, Unity Catalog, Workflows) and AWS (S3, Redshift, Athena, Glue, Lambda, Step Functions, Kinesis), supporting both batch and real-time processing modes. * Design and evolve the enterprise lakehouse architecture, including data modeling, Delta table optimization, data versioning, and a semantic data layer and metrics store serving BI tools and downstream ML feature engineering. * Build and maintain ETL/ELT orchestration (Airflow, dbt) and stream processing pipelines (Kafka/Kinesis) ingesting claims, EHR/EMR, pharmacy, IoT, survey, CRM, and digital engagement event data. *