Sr. Specialist - Data Engineering - Intelligence Platform
Nasdaq
Philadelphia, United States
Hybrid
Design scalable data systems
Develop robust data models
Build and maintain etl processes
You'll play a critical role in building best-in-class data architectures that power next-generation analytics and AI-driven insights for Financial Market Infrastructures and global banks
Job Summary
You'll play a critical role in building best-in-class data architectures that power next-generation analytics and AI-driven insights for Financial Market Infrastructures and global banks.
Key Responsibilities include designing and implementing data models, building and maintaining ETL processes, and partnering with engineering and analytics teams to deliver scalable data solutions.
Nasdaq offers a competitive rewards package including base salary, annual bonus/commissions, equity, and comprehensive benefits such as 401(k) with employer match and paid time off.
Matching Summary
You'll play a critical role in building best-in-class data architectures that power next-generation analytics and AI-driven insights for Financial Market Infrastructures and global banks.
Skills & Requirements
Must-have
Design scalable data systems
Develop robust data models
Build and maintain ETL processes
Python production-grade data systems
Data modeling expertise
Strong understanding of data warehouses
Nice-to-have
Modern data practices
Solving complex technical challenges
Drive meaningful innovation
Collaborate across global teams
Key Requirements
Bachelor's degree or equivalent practical experience
5+ years of experience in data engineering
Proficiency with dbt and Apache Spark
Advanced programming skills in Python
Proven data modeling expertise
Strong understanding of data warehouses and columnar databases