Junior Data & AI Engineer
pri technologyManhattan (NY)
Junior Data & AI Engineer
Posted today
pri technologyManhattan (NY)
SENIORITY
Junior
About the role
The Junior Data & AI Engineer will support data pipelines, cloud-based data solutions, and AI-enabled applications, including data preparation for connectors and reusable data products. The role requires strong programming and SQL fundamentals, hands-on exposure to Snowflake, and an interest in emerging AI technologies. The engineer will work under guidance from experienced colleagues; practical experience and willingness to learn are valued over expertise in every listed technology.
Key Responsibilities:
- Develop and maintain data pipelines, SQL queries, and transformations using Snowflake and Python; support data integration, modeling, and ETL/ELT development.· Prepare, clean, and validate data for AI connectors and help build reusable data products, including curated datasets and documented views.· Assist in building AI/GenAI applications using LLMs, APIs, and retrieval-based approaches, with exposure to relational, graph, and vector data technologies.· Collaborate on development, testing, debugging, and documentation. Use approved AI coding tools while understanding and validating generated code and outputs.· Follow Firm requirements for confidentiality, data access, and approved AI use; escalate data-quality or technical issues when guidance is needed.
Required Skills:
- Python: Hands-on experience with data processing, automation, Pandas, and basic API integration.· SQL & Snowflake: Practical exposure to SQL queries, tables and views, data transformations, and ETL/ELT concepts.· AI / GenAI: Basic understanding of LLMs, prompting, retrieval-augmented generation (RAG), embeddings, and vector search.· Development Fundamentals: Familiarity with REST APIs, Git, JSON, testing, and documentation.· Strong attention to detail, analytical thinking, communication, and willingness to learn and seek guidance.
Nice to Haves:
- Exposure to graph data models, knowledge graphs, Neo4j, Cypher, or similar technologies.· Exposure to LangChain, LlamaIndex, Snowpark, Snowflake Cortex AI, or other cloud AI services.· Familiarity with AWS, Azure, or GCP and AI-assisted coding tools such as GitHub Copilot.
Education & Experience:
- Bachelor's degree in a relevant technical field or equivalent practical experience.· 0–2 years of relevant experience, including internships or academic projects. Strong fundamentals and practical project experience are valued over expertise in every listed technology.
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