Data Engineer Intern at Cornspring in New York, NY

Summary: Cornspring is an innovative FinTech start-up focused on empowering Family Offices and Asset Owners with AI-driven data intelligence. They are seeking a Data Engineer Intern to build and maintain data ingestion pipelines while ensuring data integrity and quality for machine learning processes. 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 Required Qualifications: - 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 - 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 - Good communication skills to collaborate with cross-functional teams - including data scientists, AI engineers, and business stakeholders - to deliver secure, high-performing data solutions Preferred Qualifications: - Experience with PostgreSQL - Experience with data unit testing - Experience with unstructured data processing - Experience with Azure cloud services Required Skills: Python, SQL, Data pipeline design Important Skills: PostgreSQL, Machine learning, Data unit testing Nice-to-Have Skills: Unstructured data processing, Azure cloud services Benefits: Hybrid working: three days per week in our Manhattan office., 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.