Data Engineer Intern - Cloud Data Platform, ML & AI
About The Position
The Data Engineer Intern supports the enterprise Cloud Data Platform team, working under the guidance of the Director, Data Architecture & AI Toolkit. This role is designed for a Master’s‑level Computer Science student seeking hands‑on experience building, enhancing, and innovating small tools, utilities, and platform components across data engineering, analytics enablement, and ML/AI workflows. The intern will contribute to production‑adjacent engineering work, focusing on automation, platform utilities, data pipelines, quality checks, and AI‑assisted tooling that improve developer productivity, data reliability, and platform efficiency.
Requirements
- Strong foundation in Python and SQL
- Familiarity with data engineering concepts such as ETL/ELT, data modeling, and batch & stream processing
- Exposure to cloud platforms (Databricks, Azure, AWS, or GCP) and modern data tools
- Experience using Git and collaborative development workflows
- Strong analytical and problem‑solving skills
- Curiosity and willingness to learn complex data and platform concepts
- Ability to work independently on well‑defined tasks while collaborating with senior engineers
- Ability to collaborate and excel in complex, cross-functional teams involving data engineers, business analysts, and stakeholders
- Clear written and verbal communication skills
- Attention to detail and quality‑focused mindset
Nice To Haves
- Detailed understanding of ML concepts such as feature engineering, training pipelines, or model inputs is a plus
Responsibilities
- Assist in the design and development of data pipelines, ingestion utilities, and transformation logic on cloud data platforms (Databricks, Azure, etc)
- Build small internal tools and utilities to support platform operations, developer experience, and governance automation
- Assist in implementing data quality scorecard framework covering data validation, reconciliation, and quality checks
- Experiment with AI‑assisted tooling, such as metadata enrichment, data quality recommendations, or intelligent monitoring prototypes
- Collaborate with platform and analytics teams on proof‑of‑concepts involving ML or GenAI capabilities
- Support implementation of bronze / silver / gold style data processing patterns under senior engineer guidance
- Develop reusable scripts, libraries, and utilities to simplify common platform tasks
- Assist with automation for monitoring, validation, data quality checks, and operational reporting
- Contribute to CI/CD pipelines, configuration scripts, and deployment automation where applicable
- Support development of data preparation and feature engineering utilities for ML and AI use cases
- Gain exposure to data platform operations, including incident analysis, performance tuning, and cost optimization activities
- Help document testing approaches and quality metrics
- Create and maintain technical documentation, diagrams, and runbooks for tools and utilities developed
- Present work outcomes and learnings to the platform engineering team
Benefits
- competitive compensation
- generous health and wellness benefits packages
- attractive hybrid workplace
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What This Job Offers
Career Level
Intern
