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# Senior Data Engineer IS - Hybrid

- **Company:** Providence Health & Services
- **Location:** Auburn, WA, United States
- **Experience:** Expert
- **Salary:** $118,893.0 - $202,426.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Software Applications, Big Data, BigQuery, Clinical Data Repository, Cloud Computing, Cloud Database, Configuration Management, Computer Engineering, Information Engineering, Extract Transform Load (ETL), Database Development, Linux, Dimensional Modeling, Apache Hadoop, Python (Programming Language), Online Analytical Processing, NoSQL, Software Engineering, SQL Databases, Sql Optimization, Informatica Powercenter, Fast Healthcare Interoperability Resources, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Snowflake, Prompt Engineering, Apache Spark, Llamaindex, Electronic Medical Records, Fastapi, Build Management, Information Technology, Apache Flink, Health Level Seven International, Apache Kafka, Apache Nifi, Data Management, Software Version Control, Data Pipelines, Amazon Redshift
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-engineer-is-hybrid-auburn-wa--7f9e11ed-a295-476c-9658-710c26c33e82

## About the Role

Operations Processes, Cloud Computing, Software Development, Mentoring, Data Science, Database Administration, Source Code/Configuration Management (SCM), Data Management, Healthcare, Big Data, * Bachelor''s degree in computer engineering, Computer Science, Mathematics, Engineering.

 * 5 or more years of experience as a Senior Data Engineer

Preferred Qualifications:

 * 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)

## Description

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, 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., Accepting a new position at another facility that is part of the Providence family of organizations may change your current benefits. Changes in benefits, including paid time-off, happen for various reasons. These reasons can include changes of Legal Employer, FTE, Union, location, time-off plan policies, availability of health and welfare benefit plan offerings, and other various reasons.