Hybrid Senior Data Engineer — Healthcare Data & AI

Providence; Oregon; Hybrid; USD 127,000 - 217,000; Full time

Job summary

Providence is seeking a Senior Data Engineer to design and build data-centric applications for clinical and operational use. The role emphasizes cloud-native data pipelines, big data processing, and collaboration with Product, Platform, and Architecture teams to deliver scalable solutions.

The position is hybrid, supporting colleagues in Oregon or Washington, with a strong focus on data quality, documentation, and reproducible workflows across health care data ecosystems.

Qualifications

• Bachelor's degree in computer engineering, Computer Science, Mathematics, Engineering.
• 5+ years of experience as a Senior Data Engineer.

Responsibilities

• Analyze clinical data and build data-centric software applications.
• Design and implement data pipelines, transformations, and enrichment processes.
• Mentor junior Data Engineers and collaborate with Product, Platform, and Architecture teams.

Skills

Hadoop / Spark

NoSQL

SQL

Python

ETL / ELT

Cloud Data Warehousing

HL7 / FHIR / EHR APIs

APIs

FastAPI / Flask

Airflow / NiFi / Fivetran

LLM / AI / LangChain

Education

Bachelor's degree in computer engineering, Computer Science, Mathematics, Engineering

Master's degree in computer engineering, Computer Science, Mathematics, Engineering

Tools

Snowflake

Synapse

Redshift

BigQuery

Spark

Hadoop

Kafka

Flink

NoSQL platforms

Job description

Providence is seeking a Senior Data Engineer to design and build data-centric applications for clinical and operational use. The role emphasizes cloud-native data pipelines, big data processing, and collaboration with Product, Platform, and Architecture teams to deliver scalable solutions.

The position is hybrid, supporting colleagues in Oregon or Washington, with a strong focus on data quality, documentation, and reproducible workflows across health care data ecosystems.