Senior Data Engineer

Job not on LinkedIn

🕒 June 5

🐻 Alaska, California, +5 more states – Remote

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💵 $46.3k - $122.1k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 35%

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Logo of Providence

Providence

10,000+ employees

Founded 1856

💼 Consulting

🛡️ Insurance

🏥 Healthcare

Consulting • Insurance • Healthcare

Providence is a not-for-profit health system committed to providing a wide range of medical services, including primary care, urgent care, pediatrics, maternity care, cancer treatment, and specialized services like neurosurgery and orthopedics. They offer both in-person and virtual care through clinics and a mobile app, ensuring patients can access healthcare conveniently. With a mission rooted in compassion, dignity, and justice, Providence emphasizes serving those who are vulnerable and strives for excellence in healthcare delivery. They are involved in research and innovation, including genomic profiling and clinical trials to improve patient outcomes.

📋 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. • Build data pipelines and transformations, data enrichment processes, provisioning layers, and user interfaces to meet the requirements of key initiatives. • Collaborate closely with the Product, Platform, and Architecture teams to deliver on joint efforts. • Mentor and assist less experienced 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.

🎯 Requirements

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

🏖️ Benefits

• Health care benefits (medical, dental, vision) • Retirement 401(k) Savings Plan with employer matching • Life insurance • Disability insurance • Time off benefits (paid parental leave, vacations, holidays, health issues) • Voluntary benefits • Well-being resources • comprehensive benefits package

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