Data Engineer / Senior Data Engineer
ArcadiaFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
This position offers a hybrid work environment, requiring at least 4 days a week in the office, subject to change.
Candidates need a BS/MS in CS, CE, EE, Math, or related field (or equivalent experience), strong skills in Python, SQL, and bash, solid CS fundamentals like data structures and algorithms, and experience building AI and distributed data-centric software from internships, research, OSS, or projects.
This information is not specified in the job description.
You will join a tight-knit engineering group that is small enough for you to make a difference and backed by Nasdaq’s scale to amplify your impact.
Strong candidates have required qualifications like a relevant degree or equivalent, proficiency in Python/SQL/bash, CS fundamentals, and hands-on experience building AI/distributed data software; nice-to-haves include agentic workflows, LLM-powered enrichment, and distributed systems like Spark/Kafka.
Operates electronic stock exchange and financial services
Nasdaq operates one of the largest electronic stock exchanges in the world, providing a platform for buying and selling securities. It caters to a wide range of clients, including individual and institutional investors, as well as corporations. Nasdaq offers various financial products and services, such as the Nasdaq Smart Portfolio, which uses advanced analytics to help investors optimize their stock portfolios. Additionally, Nasdaq supports non-financial marketplaces and is recognized for its efforts in sustainable investment practices. The company earns revenue through transaction and listing fees, along with subscription services for its products. Nasdaq aims for global expansion and innovation, with nearly 40 offices around the world.