Senior Data Engineer

Posted 9hrs ago

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Job Description

Senior Data Engineer building clinical data pipelines and cloud applications for Providence’s healthcare system. Supporting data-driven operations with modern engineering, analytics, and AI technologies.

Responsibilities:

  • Analyze clinical data using health care and database management knowledge
  • Identify and report clinical data trends
  • Design and build modern data-centric software applications supporting clinical and operational processes across the healthcare system
  • Build data pipelines, transformations, data enrichment processes, provisioning layers, and user interfaces
  • Leverage cloud computing, big data, data science, and modern software development methodologies and frameworks
  • Mentor and assist less experienced Data Engineers
  • Participate in research and development of new technologies
  • Establish repeatable processes or templates for Data Engineers
  • Promote collaboration, meticulous source control, and documentation
  • Develop simple solutions to complex problems using modern and emerging methods and tools
  • Work closely with Product, Platform, and Architecture teams on joint efforts

Requirements:

  • Bachelor's degree in computer engineering, Computer Science, Mathematics, or Engineering
  • 5 or more years of experience as a Senior Data Engineer
  • Preferred: Master's degree in computer engineering, Computer Science, Mathematics, or Engineering
  • Preferred: 8 years of data development experience
  • Preferred: Advanced Hadoop, Spark, Kafka, Flink, and NoSQL platforms
  • Preferred: Advanced SQL, Python, and Linux-based processing
  • Preferred: OLAP and cloud data warehousing, including Snowflake, Synapse, Redshift, BigQuery, and dimensional models
  • Preferred: Unstructured and multimodal data engineering, including EHR/EMR, HL7, FHIR, APIs, and clinical notes
  • Preferred: Modern application development frameworks, including FastAPI and Flask
  • Preferred: Modern ETL/ELT tooling, including ADF, Glue, Airflow, dbt, NiFi, Informatica, and Fivetran
  • Preferred: AI/ML, LLM, and prompt engineering, including LLM pipelines, RAG, LangChain/LlamaIndex, embeddings, and vector databases

Benefits:

  • 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
  • Time off for health issues
  • Voluntary benefits
  • Well-being resources
  • Additional compensation may be available, including shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities