Data Platform Engineer Intern: Build Pipelines & Analytics

TOKYO ELECTRON U.S.HOLDINGS, INC.; Austin (TX); On-site; USD 17,000 - 23,000; Part time

Benefits offered by this job

Educational reimbursement

Job summary

TOKYO ELECTRON U.S.HOLDINGS, INC. invites motivated data engineering interns to join the data platform and analytics team in Austin. You will develop and maintain data products to feed BI tools, collaborating with data and business teams to source and transform data for stakeholder needs.

The role emphasizes building creative data solutions, with exposure to tools like Prefect, Snowflake, and PowerBI, while contributing to a scalable data architecture and reporting landscape.

Qualifications

• Knowledge of best practices and IT operations.
• Experience with Agile software development methodologies.
• Experience in DevOps and basic project development lifecycle.
• Excellent problem solving and troubleshooting skills.
• Process oriented with great 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).
• Work closely with business to develop focused data strategy for scalable and long‑term data platform/architecture.
• Perform data analysis involved to troubleshoot data related issues and/or aid in resolution of data issues.
• 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

Python

SQL

Data modeling

Analytical thinking

Communication

Education

Pursuing CS degree

Tools

Prefect

Snowflake

Azure DevOps

Azure Pipelines

DBT

PowerBI

Tableau

Astronomer

Git

Spark

Azure Pipelines

Job description

TOKYO ELECTRON U.S.HOLDINGS, INC. invites motivated data engineering interns to join the data platform and analytics team in Austin. You will develop and maintain data products to feed BI tools, collaborating with data and business teams to source and transform data for stakeholder needs.

The role emphasizes building creative data solutions, with exposure to tools like Prefect, Snowflake, and PowerBI, while contributing to a scalable data architecture and reporting landscape.