Data Engineer Intern

Cornspring • New York, NY

4d • $20 - $30 • Hybrid

About The Position

We are looking for an enthusiastic and driven Data Engineer Intern to build and maintain ingestion pipelines and validation / reconciliation logic. If you like system thinking, performance, reliability, and debugging complex problems with strong engineering discipline, we would love to speak with you.

Requirements

• Undergraduate (junior/senior preferred) or graduate students in Computer Science, Data Science, or a related field.
• Experience designing, building, and maintaining data pipelines for large-scale data solutions.
• Proficiency in Python, pandas and data science libraries plus solid SQL skills for querying and manipulating large datasets. Experience with PostgreSQL is preferred.
• Ability to design scalable, secure data models and implement best practices for data storage and retrieval.
• Familiarity with AI for coding, machine learning applications and approaches to maintain high-quality, compliant data for AI-driven use cases. Experience with data unit testing is preferred.
• Good communication skills to collaborate with cross-functional teams - including data scientists, AI engineers, and business stakeholders - to deliver secure, high-performing data solutions.

Nice To Haves

• Experience with unstructured data processing is a plus.
• Experience with Azure cloud services is a plus.

Responsibilities

• Build efficient data pipelines for financial data flows whilst ensuring data and analytics are leveraged for future growth.
• Monitor data movement, transformation logic and performance of all pipelines as required to maintain data integrity and quality supplied to ML processes.
• Designing and implementing data solutions for new data and servicing initiatives and providing continuous oversight for existing solutions to maintain data accuracy, service quality and solution performance.

Benefits

• An opportunity to work at the forefront of AI-driven finance, tackling genuinely complex and high-impact challenges.
• Hands-on exposure to advanced ML, LLM, and data technologies within real production systems.
• A collaborative, high-ownership start-up environment offering exceptional learning opportunities.
• The chance to help shape the future of Family Office and Asset Management technology.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern