Senior Data Engineer

Providence

. Apply health care and database management knowledge to analyze clinical data .

Posted 9/19/2026full-timePortland • Oregon • United StatesSenior💰 $55 - $109 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering with a focus on building data pipelines, modern application development, and advanced data processing techniques. Proficient in SQL, Python, and various data platforms, while also mentoring junior engineers and collaborating across teams.

Highest-signal resume keywords

Advanced SQLPython ProgrammingData Pipeline DevelopmentHadoop and SparkCloud Data Warehousing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringETL/ELT ToolingNoSQL PlatformsOLAPDimensional ModelsUnstructured Data EngineeringAI/ML TechniquesModern Application FrameworksData Enrichment ProcessesSource Control

Soft Skills

MentoringCollaborationProblem Solving

Tools & Technologies

SnowflakeSynapseRedshiftBigQueryFastAPIFlaskADFGlueAirflowInformatica

Industry Keywords

HealthcareClinical DataEHR/EMRHL7FHIRAPIsClinical NotesData-Centric ApplicationsData PipelinesData Transformation

Tech Stack

Tools & technologies

AirflowAmazon RedshiftBigQueryCloudETLFlaskHadoopInformaticaKafkaLinuxNoSQLPythonSparkSQL

About the role

Key responsibilities & impact

Apply health care and database management knowledge to analyze clinical data
Identify and report trends
Design and build modern data-centric software applications supporting clinical and operational processes across the healthcare system
Build data pipelines and transformations
Develop data enrichment processes and provisioning layers
Build user interfaces for key initiatives
Mentor and assist less experienced Data Engineers
Participate in research and development of new technologies
Establish repeatable processes or templates for Data Engineers
Collaborate with Product, Platform, and Architecture teams
Use meticulous source control and documentation
Apply simple solutions to complex problems using modern and emerging methods and tools

Requirements

What you’ll need

Bachelor's degree in computer engineering, Computer Science, Mathematics, or Engineering
5 or more years of experience as a Senior Data Engineer
Candidates must reside in Oregon or Washington state
Relocation is not available
Preferred: Master's degree in computer engineering, Computer Science, Mathematics, or Engineering
Preferred: 8 years of data development experience
Advanced Hadoop, Spark, Kafka, Flink, and NoSQL platforms
Advanced SQL and Python
Linux-based processing
OLAP and cloud data warehousing, including Snowflake, Synapse, Redshift, BigQuery, and dimensional models
Unstructured and multimodal data engineering, including EHR/EMR, HL7, FHIR, APIs, and clinical notes
Modern application development frameworks, including FastAPI and Flask
Modern ETL/ELT tooling, including ADF, Glue, Airflow, dbt, NiFi, Informatica, and Fivetran
AI/ML, LLM, and prompt engineering, including LLM pipelines, RAG, LangChain/LlamaIndex, embeddings, and vector databases

Benefits

Comp & perks

Retirement 401(k) Savings Plan with employer matching
Medical, dental, and vision health care benefits
Life insurance
Disability insurance
Paid parental leave
Vacation and holiday time off
Health issue time off benefits
Voluntary benefits
Well-being resources
Additional compensation may be available, including shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities