Senior Data & AI Solutions Engineer — AI, BI & ETL Focus

Tech Sales Jobs; Palo Alto (CA); Vor Ort; USD 151.000 - 200.000; Vollzeit

Zusammenfassung

Stanford Blood Center seeks a Sr Data & AI Solutions Engineer to design AI/ML models and integrate them into SBC operations. You will lead ETL pipelines unifying data across databases and enhance BI capabilities to drive data-driven decisions, optimize blood production and testing workflows.

The role requires expertise in Python, Django, Java, SQL, and BI tools; you will mentor BI analysts and ensure compliant data governance while supporting scalable analytics across clinical and operational

Qualifikationen

• Bachelor’s degree in engineering, CS, data science or related field with 4+ years applying ML/AI solutions.
• Experience designing/DEW architectures, ETL pipelines and BI solutions.
• Strong Python (Django) and Java skills; SQL mastery in Oracle/MS SQL Server.

Aufgaben

• Design and integrate AI/ML solutions across clinical, lab, and operations domains.
• Lead end-to-end ETL pipelines to unify data across data warehouses.
• Develop and maintain BI tools and dashboards (Power BI, Tableau).
• Fine-tune LLMs/SLMs, engineer prompts, and deploy AI components.
• Oversee data modeling, performance tuning and monitoring in EDW.
• Collaborate with stakeholders to translate analytics into actionable decisions.

Kenntnisse

Python (Django)

Java

OOP Architecture

BI & ETL

SQL (Oracle/MS SQL)

Power BI/Tableau

LLMs/AI models

REST APIs

Data analysis

Forecasting

Ausbildung

Bachelor's Degree in engineering, computer science, data science or related field

Master's Degree in engineering, computer science, data science or related field

Tools

Django

REST APIs

Azure DevOps Server

SSIS

Oracle

MS SQL Server

Power BI

Tableau

Jobbeschreibung

Stanford Blood Center seeks a Sr Data & AI Solutions Engineer to design AI/ML models and integrate them into SBC operations. You will lead ETL pipelines unifying data across databases and enhance BI capabilities to drive data-driven decisions, optimize blood production and testing workflows.

The role requires expertise in Python, Django, Java, SQL, and BI tools; you will mentor BI analysts and ensure compliant data governance while supporting scalable analytics across clinical and operational