Co-Op Data Engineer: Build Data Pipelines & AI

ASML US, LLC; 4S Ranch (CA); Hybrid; USD 30,000 - 47,000; Full time

Job summary

ASML US, LLC is seeking a Data Engineer Co-Op in the United States (hybrid) to develop data pipelines and data products that transform laser-machine and enterprise data into trusted information. You will collaborate with experienced data engineers, data architects, IT specialists, and business stakeholders to support product capabilities, analytics, AI, system performance, and customer satisfaction.

This role provides exposure to complex, high-value data in an enterprise-scale environment while

Qualifications

• Pursuing a Bachelor's or Master's in a related field.
• Knowledge of Python, SQL, Java, or a comparable language.
• Relational databases, data modeling, and data integration concepts.
• Familiarity with Databricks, SQL Server, or similar tools.
• Experience with cloud environments like Azure.
• Exposure to ETL/ELT and data pipelines.
• Projects or work with data engineering.
• Familiarity with Git, testing, and CI/CD preferred.
• Experience with data quality and monitoring is a plus.

Responsibilities

• Develop and enhance data pipeline solutions for features, analytics, and AI use cases.
• Build ingestion, transformation, validation, and integration processes for laser-machine and enterprise data.
• Contribute to automated data integration pipelines for testing and release.
• Develop and optimize SQL transformations, data models, and analytical datasets.
• Collaborate with cross-functional teams on system design and performance improvements.
• Translate business goals into technical solutions with stakeholders.

Skills

Python

SQL

Data engineering

Problem solving

Team collaboration

Education

Bachelor's or Master's in Computer Science / Computer Engineering / Data Engineering / Information Systems / Software Engineering

Tools

Databricks

SQL Server

Azure

Git

CI/CD

Job description

ASML US, LLC is seeking a Data Engineer Co-Op in the United States (hybrid) to develop data pipelines and data products that transform laser-machine and enterprise data into trusted information. You will collaborate with experienced data engineers, data architects, IT specialists, and business stakeholders to support product capabilities, analytics, AI, system performance, and customer satisfaction.

This role provides exposure to complex, high-value data in an enterprise-scale environment while