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1 Job Available in Lexington, KY at Adoration Home Health Hospice
Senior Data Engineer
Adoration Home Health & Hospice
Location : Lexington, KY
Job Type : Full Time / Part Time
Date Posted : 26 December 2025
Our Company
BrightSpring Health Services
Overview
We are seeking an experienced Senior Data Engineer to join our team in building a next generation AI-enabled Health Cloud Platform. This platform powers intelligent clinical and pharmacy solutions using Generative AI, Agentic AI, Robotic Process Automation (RPA), and Retrieval-Augmented Generation (RAG) with domain-specific vector databases.
As a Senior Data Engineer, you will design and optimize data pipelines, data lakes, and analytics frameworks that enable scalable AI/ML workflows. You will work closely with AI architects, data scientists, and product teams to ensure high-quality, secure, and compliant data infrastructure for healthcare applications.
Responsibilities
- Design, build, and maintain data pipelines for ingesting, transforming, and storing large-scale healthcare datasets.
- Implement ETL/ELT workflows using Databricks, Spark, and Delta Lake for high performance data processing.
- Optimize data architecture for AI/ML workloads, including support for vector databases and RAG pipelines.
- Collaborate with AI teams to integrate structured and unstructured data into predictive and generative AI models.
- Ensure compliance with healthcare data standards (FHIR, HL7, RxNorm) and regulatory requirements (HIPAA).
- Develop and enforce data governance, security, and quality frameworks.
- Monitor and improve data pipeline performance, scalability, and reliability.
- Mentor junior engineers and contribute to best practices in data engineering and MLOps.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
- 10+ years of experience in data engineering with strong expertise in Databricks, Spark, and distributed data systems.
- Proficiency in Python, SQL, and experience with data modeling and data lakehouse architectures.
- Hands-on experience with cloud platforms (Azure preferred; AWS/GCP acceptable).
- Experience with vector databases (FAISS, Weaviate, Pinecone) and RAG pipelines.
- Familiarity with MLOps tools (MLflow, Airflow, or similar) and data versioning.
- Strong understanding of healthcare data standards and compliance frameworks.
- Excellent problem-solving skills and ability to work in a fast-paced, mission-driven environment.
- Knowledge of Generative AI and Agentic AI frameworks (LangChain, AutoGen).
- Familiarity with data security, privacy, and regulatory compliance in healthcare.
- Contributions to open-source projects or experience in large-scale data environments.
- Travel up to 25%