Data Engineer Co-Op - Hybrid Pipelines & Analytics

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

Job summary

ASML Data Engineer Co-Op in the US (hybrid) role focuses on building and refining data pipelines and data products from laser-machine and enterprise data to deliver trusted information. You will collaborate with data engineers, architects, IT specialists, and business stakeholders to enable analytics, AI use cases, and scalable data solutions.

As part of the CDO US team, you will learn how modern data platforms are designed, tested, deployed, and operated at enterprise scale, while contributing

Qualifications

• Must be pursuing a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Data Engineering, Information Systems, Software Engineering, or a related field.
• Knowledge of or experience with Python, SQL, Java, or a comparable programming language.
• Knowledge of relational databases, data modeling, and data integration concepts.
• Familiarity with Databricks, SQL Server, or other database and data-platform technologies.
• Familiarity with Microsoft Azure or another cloud environment.
• Exposure to ETL/ELT development, data pipelines, or analytical data processing.
• Academic, personal, or professional project experience performing data engineering or similar work.
• Familiarity with Git, automated testing, CI/CD, or modern software-development practices is preferred.
• Experience with data quality, pipeline monitoring, or data visualization is a plus.

Responsibilities

• Develop and enhance data pipeline solutions that contribute to product features, technical roadmaps, analytics, and AI use cases.
• Build data ingestion, transformation, validation, and integration processes for laser-machine and enterprise data.
• Contribute to automated continuous data integration pipelines used to build, test, and release data solutions.
• Develop and optimize SQL transformations, data models, and analytical datasets.
• Apply systematic problem-solving to identify root causes, resolve technical issues, and standardize reusable solutions.
• Collaborate with cross-functional engineering and business teams on system design changes and improvements to system performance.
• Work with business users to understand requirements and translate business goals into feasible technical solutions.
• Collaborate with data architects, software engineers, AI engineers, and IT team members to achieve shared project goals.
• Help improve data quality, observability, monitoring, lineage, and governance.
• Apply industry practices for code quality, automated testing, version control, maintainability, and technical documentation.
• Refactor and improve existing code so that legacy and modern systems can coexist during technology transitions.
• Participate in code reviews, technical design discussions, agile delivery activities, and continuous improvement.
• Document data pipelines, interfaces, data models, decisions, dependencies, and operating procedures.
• Contribute reusable data components and engineering patterns that can support multiple teams and use cases.

Skills

Python

SQL

Java

Data modeling

ETL/ELT

Git & CI/CD

Databricks

Azure

Data quality monitoring

Education

Bachelor's or Master's degree in Computer Science/Engineering/Data Engineering

Tools

Databricks

SQL Server

Azure

Job description

ASML Data Engineer Co-Op in the US (hybrid) role focuses on building and refining data pipelines and data products from laser-machine and enterprise data to deliver trusted information. You will collaborate with data engineers, architects, IT specialists, and business stakeholders to enable analytics, AI use cases, and scalable data solutions.

As part of the CDO US team, you will learn how modern data platforms are designed, tested, deployed, and operated at enterprise scale, while contributing