Senior Data Engineer IS
About The Position
Apply knowledge of health care and database management to analyze clinical data, and to identify and report trends. Design and build modern data-centric software applications to support clinical and operational processes across all parts of the healthcare system. These applications leverage cloud computing, big data, data science, and modern software development methodologies and frameworks. Builds data pipelines and transformations, data enrichment processes, provisioning layers, and user interfaces to meet the requirements of key initiatives. Has a demonstrated ability to mentor and assist less experienced Data Engineers and participate in research and development of new technologies to help set up repeatable processes or templates for other Data Engineers to follow. Strongly encourages and places a priority on collaboration with meticulous source control and documentation. An emphasis on simple solutions to complex problems using modern and emerging methods and tools is critical. This position will work closely with the Product, Platform, and Architecture teams to deliver on joint efforts. Providence caregivers are not simply valued – they’re invaluable. Join our team at Enterprise Information Services and thrive in our culture of patient-focused, whole-person care built on understanding, commitment, and mutual respect. Your voice matters here, because we know that to inspire and retain the best people, we must empower them.
Requirements
- Bachelor's degree in computer engineering, Computer Science, Mathematics, Engineering.
- 5 or more years of experience as a Senior Data Engineer.
- Advanced SQL + Python
- OLAP / Cloud Data Warehousing
- Unstructured & Multimodal Data Engineering
- Modern Application Development Frameworks
- Modern ETL / ELT Tooling
- AI/ML + LLM / Prompt Engineering
Nice To Haves
- Master's degree in computer engineering, Computer Science, Mathematics, Engineering.
- 8 years of Data development experience.
- Advanced Hadoop / Spark / NoSQL
- EHR/EMR, HL7, FHIR, APIs, clinical notes
- FastAPI, Flask explicitly listed and used
- ADF, Glue, Airflow, dbt, NiFi, Informatica, Fivetran
- LLM pipelines, RAG, LangChain/LlamaIndex, embeddings, vector DBs
Responsibilities
- Analyze clinical data and identify and report trends.
- Design and build modern data-centric software applications.
- Build data pipelines and transformations, data enrichment processes, provisioning layers, and user interfaces.
- Mentor and assist less experienced Data Engineers.
- Participate in research and development of new technologies.
- Collaborate with Product, Platform, and Architecture teams.
Benefits
- Best-in-class benefits uniquely designed to support you and your family in staying well, growing professionally, and achieving financial security.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
