Data Engineer AIML

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Day - 08 Hour (United States of America)

The Data Engineer will be part of a team building Stanford Health Cares (SHC) solutions incorporating Artificial Intelligence including providing health care solutions in the areas of patient care medical research and administrative services. This group is designed to bring Artificial Intelligence (AI) and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals across clinical specialties and operations areas to deploy algorithms that can lead to better patient outcomes.

Reporting to the Data Science Director and working closely with Stanford Medicines inaugural Chief Data Scientist this role will be responsible for building scaling and maintaining the compute frameworks analysis tooling model implementations and agentic solutions that form our core AI platform.

This is a Stanford Health Care job.

A Brief Overview

The Data Engineer will be part of a team building Stanford Health Cares (SHC) solutions incorporating Artificial Intelligence including providing health care solutions in the areas of patient care medical research and administrative services. This group is designed to bring Artificial Intelligence (AI) predictive algorithms and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals across clinical specialties and operations areas to deploy algorithms that can lead to better patient outcomes. Reporting to the Data Science Director and working closely with Stanford Medicines inaugural Chief Data Scientist this role will be responsible for maintaining compute frameworks analysis tooling and / or model implementations used or created by the team. The individual will design implement and support data processing software and infrastructure.

Locations

Stanford Health Care

What you will do

• Build end-to-end data pipelines and infrastructure for ML models used by the Data Science team and others at SHC.
• Understand the requirements of data processing and analysis pipelines and make appropriate technical design and interface decisions. Elucidating these requirements will require training developing and validating researcher-built or vendor provided machine learning algorithms on hospital data as well as working with other members of the data science team.
• Understand data flows among the SHC applications and use this knowledge to make recommendations and design decisions for languages tools and platforms used in software and data projects.
• Troubleshoot and debug environment and infrastructure problems found in production and non-production environments for projects by the Data Science Team.
• Work with other groups at SHC and the Technology and Digital Solutions (TDS) group to ensure servers and system maintenance based on updates system requirements data usage and security requirements

Education Qualifications

Experience Qualifications

Preferred Knowledge Skills and Abilities

Physical Demands and Work Conditions

Blood Borne Pathogens

These principles apply to ALL employees :

SHC Commitment to Providing an Exceptional Patient & Family Experience

Stanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients families and towards each other. C-I-CARE is the foundation of Stanfords patient-experience and represents a framework for patient-centered interactions. Simply put we do what it takes to enable and empower patients and families to focus on health healing and recovery.

You will do this by executing against our three experience pillars from the patient and familys perspective :

Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices including the area of employment. Accordingly SHC does not discriminate against any person on the basis of race color sex sexual orientation or gender identity and / or expression religion age national or ethnic origin political beliefs marital status medical condition genetic information veteran status or disability or the perception of any of the above. People of all genders members of all racial and ethnic groups people with disabilities and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements.

Base Pay Scale : Generally starting at $79.21 - $104.97 per hour

The salary of the finalist selected for this role will be set based on a variety of factors including but not limited to internal equity experience education specialty and training. This pay scale is not a promise of a particular wage.

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1

Hourly Salary Salary : 79 - 104