Senior Data Engineer IS - Hybrid

Providence is a comprehensive health care organization focused on patient-centered, whole-person care. The Senior Data Engineer designs and builds modern data-centric applications, data pipelines, transformations, and enrichment processes to support clinical and operational processes. The role also mentors Data Engineers, collaborates with Product, Platform, and Architecture teams, and helps develop repeatable processes using modern data and software technologies.

Responsibilities:

• 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
• Builds data pipelines and transformations, data enrichment processes, provisioning layers, ad user interfaces to meet the requirements of key initiatives
• Has a demonstrated ability to mentor and assist less experiences 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

Requirements:

• Bachelor's degree in computer engineering, Computer Science, Mathematics, Engineering
• 5 or more years of experience as a Senior Data Engineer
• Master's degree in computer engineering, Computer Science, Mathematics, Engineering
• 8 years of Data development experience
• Advanced Hadoop / Spark / NoSQL✔ (Spark, Hadoop ecosystem, Kafka, Flink, NoSQL platforms)
• Advanced SQL + Python ✔ (Python, SQL, Linux-based processing
• OLAP / Cloud Data Warehousing✔ (Snowflake, Synapse, Redshift, BigQuery, dimensional models)
• Unstructured & Multimodal Data Engineering ✔ (EHR/EMR, HL7, FHIR, APIs, clinical notes)
• Modern Application Development Frameworks ✔ (FastAPI, Flask explicitly listed and used)
• Modern ETL / ELT Tooling✔ (ADF, Glue, Airflow, dbt, NiFi, Informatica, Fivetran)
• AI/ML + LLM / Prompt Engineering✔ (LLM pipelines, RAG, LangChain/LlamaIndex, embeddings, vector DBs)