Senior Specialist, Data Engineering

Responsibilities

• Design and build scalable data pipelines to onboard, extract, load, transform, and enrich new data sources
• Apply financial domain knowledge to curate datasets and accelerate product development
• Partner with Product Management and Product Development to analyze, validate, and transform datasets into finished products
• Collaborate with AI & Automation teams to adopt AI-powered workflow tools that drive delivery efficiency
• Implement robust data quality checks to ensure completeness, accuracy, timeliness, and reliability

Requirements

• 7+ years of programming experience in Python, Spark, SQL, Java, and/or Unix shell scripting
• Strong domain knowledge in capital markets
• Proven foundation in exploratory data analysis, data onboarding, and data pipelines
• Experience with cloud and systems including AWS (S3/EC2), Databricks, and Linux
• Solid understanding of Git or other version control software
• Bachelor’s degree in Computer Science, Computer Engineering, or a related discipline
• Strong organizational and communication skills suitable for a fast-paced environment

Preferred Qualifications

• Previous experience crafting financial data products
• Experience working with Alternative Data sources such as satellite imagery, consumer transactions, or mobility/GPS data

About the Company

Nasdaq is a leading global provider of trading, clearing, exchange technology, listing, information, and public company services. As the creator of the world's first electronic stock market, Nasdaq's technology powers more than 100 marketplaces in 50 countries, helping to advance economic progress for all.