Internship/Co-Op: Data Engineer

ASML; San Diego (CA); Híbrido; USD 34 000 - 55 000; Tempo parcial

Resumo da oferta

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

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Python

SQL

Java

Data modeling

ETL/ELT

Git & CI/CD

Databricks

Azure

Data quality monitoring

Formação académica

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

Ferramentas

Databricks

SQL Server

Azure

Descrição da oferta de emprego

Co-Op: Data Engineer Organization: IT & Data, Chief Data Office US Location: United States, hybrid Employment Type: College Co-Op

Job Mission

As a Data Engineer Co-Op at ASML, you will help develop data pipelines and data products that transform laser-machine and enterprise data into trusted, usable information. Working with experienced data engineers, data architects, IT specialists, and business stakeholders, you will contribute to technical solutions that support product capabilities, analytics, AI, system performance, and ultimately customer satisfaction. This role provides an opportunity to work with complex, high-value data in a collaborative engineering environment while learning how modern data solutions are designed, tested, deployed, documented, and operated at enterprise scale.

Job Description

As a member of the CDO US team, you will:

• 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.

Education and Experience

• 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.

Skills and Competencies

• Strong customer focus and a commitment to customer satisfaction through quality, prioritization, efficiency, and professionalism.
• Strong numerical, analytical, and structured problem-solving skills.
• Ability to decompose complex problems, clarify requirements, and propose feasible solutions.
• Attention to detail and the ability to complete assignments with a high degree of accuracy.
• Ownership and accountability for assigned work, including raising risks and following through on commitments.
• Ability to perform effectively in a demanding environment with changing priorities and workloads.
• Open, clear, concise, and professional communication.
• Ability to establish cooperative working relationships with colleagues, technical teams, and business stakeholders.
• Willingness to seek feedback, learn new technologies, and continuously improve.
• Understanding of the importance of code health, testing, maintainability, and documentation.
• Ability to balance immediate delivery needs with the development of scalable and reusable solutions.

What Success Looks Like

• Deliver working data pipelines, transformations, or data products that contribute to real business or engineering outcomes.
• Improve the quality, reliability, accessibility, or maintainability of data used by internal teams.
• Demonstrate disciplined engineering through testing, documentation, code reviews, and version control.
• Translate a defined business or engineering need into a practical technical solution.
• Collaborate effectively across data, IT, engineering, analytics, and AI teams.
• Develop reusable solutions rather than addressing each technical problem in isolation.
• Build practical experience with enterprise data platforms, cloud technology, and production-oriented engineering.

Team Culture

The CDO US team works across organizational and technical boundaries to turn data into scalable business and engineering value.

We are looking for a student who:

• Is curious about how data supports advanced engineering, analytics, AI, and customer outcomes.
• Takes ownership while remaining comfortable asking questions and seeking guidance.
• Approaches problems systematically and looks for root causes, not only immediate fixes.
• Values collaboration over individual heroics.
• Communicates openly about progress, risks, dependencies, and lessons learned.
• Cares about data quality, code quality, documentation, and long-term maintainability.
• Can adapt as priorities change without losing focus on quality and delivery.
• Looks for opportunities to standardize, automate, and reuse solutions.
• Is motivated by learning and contributing in a highly technical, international environment.

Inclusion and diversity

ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.

ASML is a leading supplier of lithography equipment, used by the world’s top chipmakers to print microchips that are increasingly powerful, fast and energy efficient. Working at ASML is inspiring, no matter what field you're in. That’s because we push the boundaries of technology: if it’s moving the world forward, chances are, we’re behind it. In fact, we’re probably a part of the electronic device you’re using right now. We’re a global team of more than 32,000 people from 122 different nationalities and counting. Headquartered in Europe’s top tech hub, the Brainport Eindhoven region in the Netherlands, our operations are spread across Europe, Asia and the US.