Hybrid Data Engineer Co‑Op: Build Pipelines & Analytics

ASML US, LP. (US30); San Diego (CA); Hybrid; USD 34,000 - 55,000; Part time

Job summary

ASML US, LP. in the United States (hybrid) is seeking a Data Engineer Co-Op to help build data pipelines and data products from laser-machine and enterprise data.

You will collaborate with experienced data engineers, data architects, IT specialists, and business stakeholders to deliver scalable data solutions and support product capabilities, analytics, and AI. This role provides hands-on coding and learning opportunities in an enterprise-scale, collaborative environment, emphasizing data

Qualifications

• Pursuing a Bachelor's or Master's in CS/CE/Data Eng.
• Knowledge of Python, SQL, Java or similar language.
• Familiarity with relational databases and data integration concepts.
• Exposure to Databricks, SQL Server, or data-platform tech.
• Familiarity with Azure or another cloud environment.
• Experience with ETL/ELT and data pipelines.
• Experience with Git, automated testing, and CI/CD preferred.

Responsibilities

• Develop and enhance data pipeline solutions for product features, analytics and AI use cases.
• Build data 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 datasets.
• Collaborate with cross-functional teams on system design and performance improvements.
• Document data pipelines, interfaces, data models, decisions, and procedures.

Skills

Python

SQL

Java

Data pipelines

Analytical thinking

Problem solving

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Databricks

SQL Server

Azure

CI/CD

Git

Job description

ASML US, LP. in the United States (hybrid) is seeking a Data Engineer Co-Op to help build data pipelines and data products from laser-machine and enterprise data.

You will collaborate with experienced data engineers, data architects, IT specialists, and business stakeholders to deliver scalable data solutions and support product capabilities, analytics, and AI. This role provides hands-on coding and learning opportunities in an enterprise-scale, collaborative environment, emphasizing data