Data Engineering Intern: AI-Ready Pipelines & Lakehouse

Rysun Labs Inc; Milpitas (CA); On-site; USD 28,000 - 41,000; Part time

Job summary

Rysun Labs Inc invites a motivated Data Engineering Intern to join our growing data team in a hands-on role focused on building and maintaining modern data pipelines. You will support AI/ML initiatives, work with large-scale data platforms, and learn in collaboration with senior engineers and data scientists in a fast-paced environment.

The position emphasizes hands-on data engineering, ETL/ELT development, and data quality governance in a team that values curiosity and continuous learning.

Responsibilities

• Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines to ingest structured, semi-structured, and unstructured data into our modern data lakehouse architecture.
• AI-Ready Data Foundations: Cleanse, structure, and prepare data pipelines specifically optimized for downstream AI/ML use cases, including feature engineering and processing text for vector embeddings.
• Data Modeling: Assist in developing and maintaining robust enterprise data models (dimensional modeling, Medallion architecture—Bronze/Silver/Gold layers) ensuring data quality and integrity.
• Performance Tuning: Monitor, profile, and optimize data pipeline execution times, SQL queries, and storage patterns to ensure highly performant and cost-effective data processing.
• Data Quality & Governance: Implement automated data quality checks, schema validation, and monitor for data drift to ensure the reliability of analytics and AI outputs.
• Collaboration: Work in an agile environment alongside senior data engineers, data scientists, and business stakeholders to translate business requirements into technical data solutions.

Job description

Rysun Labs Inc invites a motivated Data Engineering Intern to join our growing data team in a hands-on role focused on building and maintaining modern data pipelines. You will support AI/ML initiatives, work with large-scale data platforms, and learn in collaboration with senior engineers and data scientists in a fast-paced environment.

The position emphasizes hands-on data engineering, ETL/ELT development, and data quality governance in a team that values curiosity and continuous learning.