Data Platform Engineer Intern: Build Scalable Pipelines

re-zoo-me; Austin (TX); Hybrid; USD 17,000 - 23,000; Full time

Job summary

TOKYO ELECTRON U.S. HOLDINGS, INC. is offering a Summer 2027 Data Engineering Internship in Austin, TX.

You will join the data platform and analytics team to develop data products feeding BI tools and collaborate with data and business teams to source and transform data for business needs. The role emphasizes Lean thinking, meaningful project work, and hands-on experience with data pipelines, orchestration, and platform architecture.

Qualifications

• Pursuing a Bachelor's, Master's or PhD with focus in Computer Science or related field.
• Experience with Agile Software Development methodologies is preferred.
• Experience in DevOps and basic project development lifecycle.
• Excellent problem solving and troubleshooting skills.
• Process oriented with strong documentation skills.
• Exceptional oral and written communication skills.

Responsibilities

• Collaborate with data and business teams to deliver data products across the organization (specifically supply chain operations).
• Develop focused data strategy for scalable and long-term data platform/architecture with the business.
• Perform data analysis to troubleshoot data-related issues and aid in resolution.
• Create feature branches; write unit, integration, and quality assurance tests via pull requests.
• Run and monitor orchestration flows and troubleshoot failures.
• Create and maintain data pipelines as needed.

Skills

Data engineering

Agile development

DevOps

Problem solving

Documentation

Communication

Education

Bachelor's/Master/PhD in CS or related

Tools

Prefect

Snowflake

Azure DevOps

Azure Pipelines

PowerBI

Tableau

Python

SQL

Git

DBT

Spark

Astronomer

Microsoft CRM

Job description

TOKYO ELECTRON U.S. HOLDINGS, INC. is offering a Summer 2027 Data Engineering Internship in Austin, TX.

You will join the data platform and analytics team to develop data products feeding BI tools and collaborate with data and business teams to source and transform data for business needs. The role emphasizes Lean thinking, meaningful project work, and hands-on experience with data pipelines, orchestration, and platform architecture.