As a Data Engineer II at JPMorgan Chase, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

Supports review of controls to ensure sufficient protection of enterprise dataResponsible for making configurations/customization changes in one to two tools to generate a product at the business/customer request and advising colleagues in their requestsUpdates logical or physical data models based on new use casesFrequently uses SQL and understands NoSQL databases and their niche in the marketplace

Required qualifications, capabilities, and skills

Experience or equivalent expertise in Data Engineering across the data lifecycle
Advanced at SQLWorking understanding of NoSQL databasesDemonstrated proficiency in data fluency, including experience with data extraction, interpretation, and making data-informed decisionsSignificant experience with statistical data analysis and able to determine appropriate tools and data patterns to perform analysisDeveloping technical fluency in relevant platforms, software tools, and technologies, with a curiosity to continuously expand technical knowledgeExperience in data visualization and analytics, including understanding of vendor products and managing vendor relations

Preferred qualifications, capabilities, and skills  

Experience with distributed databasesExperience with DatabricksExperience working with AI automation frameworks and integrating Large Language Models (LLMs) into software solutions, including prompt engineering, model evaluation, and deployment.Familiarity with LLM platforms and tools (such as OpenAI, Hugging Face, or similar).Experience in Test Driven Development and Acceptance Test Driven Development will be an added advantageRisk Management knowledge Technical background and an understanding of the financial industry