Sr. Specialist - Data Engineering - Intelligence Platform

Sr. Specialist of Data Engineering - Intelligence Platform

As a Sr. Specialist of Data Engineering - Intelligence Platform, reporting to Assistant Vice President of Product Management, 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. You will design scalable data systems, develop robust data models, and collaborate across teams to transform complex data into intelligent, actionable structures. You'll thrive in this position if you're passionate about modern data practices, enjoy solving complex technical challenges, and want to drive meaningful innovation across the financial ecosystem.

Key Responsibilities

• Design and implement data models ensuring quality, consistency, and integrity throughout the data lifecycle.
• Build and maintain ETL processes to integrate data from various sources, supporting regulatory reporting, customer analytics, and research initiatives.
• Partner with engineering and analytics teams across the organization to deliver scalable data solutions and platform requirements.
• Develop advanced analytics capabilities across financial assets and markets, leveraging deep domain expertise.
• Document data models, ETL processes, and best practices to support knowledge sharing and operational excellence.

Required Qualifications

• Bachelor's degree in computer science, engineering, or related field, or equivalent practical experience.
• 5+ years of experience in data engineering, analytics engineering, or related technical roles.
• Strong proficiency with dbt and Apache Spark for data transformation and processing.
• Advanced programming skills in Python with experience building production-grade data systems.
• Proven data modeling expertise including data vault, dimensional modeling, and warehouse design.
• Strong understanding of data warehouses and columnar databases such as Redshift or Databricks.
• Excellent problem-solving skills with the ability to work collaboratively across global, matrixed teams.

Preferred Qualifications

• Experience with AWS technologies including S3, Redshift, and RDS.
• Familiarity with orchestration tools such as Airflow, Prefect, or Dagster.
• Exposure to data governance platforms like Monte Carlo or Atlan.
• Knowledge of big data technologies including Hadoop, Kafka, Delta Lake, or Iceberg.
• Experience working with trading data or systems such as Calypso.

This position will be located in Philadelphia, PA and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.

Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

We're proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq's overall success.

In addition to base salary, Nasdaq offers significant other compensation (annual bonus/commissions and equity), benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.

Nasdaq's programs and rewards are intended to allow our employees to:

• Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off
• Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
• Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
• Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days
• Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities