Senior Data Engineer IS - Hybrid

Location: Portland, OR, United States; Hybrid

Senior Data Engineer - Hybrid

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. 

This position is open to candidates residing in Oregon or in Washington state. Relocation is not available at this time.

• 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)

 

Salary Range by Location:

Oregon: Non-Portland Service Area: Min: $57.16, Max: $97.32

Oregon: Portland Service Area: Min: $61.31, Max: $104.39

Washington: Western: Min: $63.91, Max: $108.82

Washington: Southwest - Olympia, Centralia: Min: $61.31, Max: $104.39

Washington: Clark County Washington: Min: $61.31, Max: $104.39

Washington: Eastern: Min: $54.56, Max: $92.89

Washington: Southeastern: Min: $57.16 Max: $97.32

 

About Us

About the Organization

Providence Shared Services is a service line within Providence that provides a variety of functional and system support services for our family of organizations across Alaska, California, Montana, New Mexico, Oregon, Texas and Washington. We are focused on supporting our Mission by delivering a robust foundation of services and sharing of specialized expertise.

Providence is proud to be an Equal Opportunity Employer. We are committed to the principle that every workforce member has the right to work in surroundings that are free from all forms of unlawful discrimination and harassment on the basis of race, color, gender, disability, veteran, military status, religion, age, creed, national origin, sexual identity or expression, sexual orientation, marital status, genetic information, or any other basis prohibited by local, state, or federal law. We believe diversity makes us stronger, so we are dedicated to shaping an inclusive workforce, learning from each other, and creating equal opportunities for advancement.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.