3 days ago
San Diego, CA, USAIntern
H1B sponsor
Responsibilities
- Develop and enhance data pipelines supporting product features, technical roadmaps, analytics, and AI use cases.
- Build data ingestion, transformation, validation, and integration processes for laser-machine and enterprise data.
- Develop and optimize SQL transformations, data models, and analytical datasets.
- Contribute to automated continuous data integration pipelines used to build, test, and release data solutions.
- Improve data quality, observability, monitoring, lineage, governance, code quality, testing, documentation, and maintainability.
- Collaborate with engineering, IT, architecture, AI, analytics, and business teams to translate requirements into technical solutions.
- Refactor legacy and modern systems, participate in code reviews and design discussions, and create reusable data components and engineering patterns.
- Document pipelines, interfaces, data models, decisions, dependencies, and operating procedures.
Requirements
- 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 in data engineering or similar work.
- Preferred familiarity with Git, automated testing, CI/CD, or modern software-development practices.
- Experience with data quality, pipeline monitoring, or data visualization is a plus.
- Strong analytical, structured problem-solving, communication, collaboration, ownership, adaptability, and attention-to-detail skills.
Benefits
- United States-based hybrid college co-op.
- Opportunity to work with complex enterprise and laser-machine data alongside experienced data engineers, architects, IT specialists, and business stakeholders.
- Hands-on learning with enterprise data platforms, cloud technology, production-oriented engineering, testing, documentation, code reviews, and scalable reusable solutions.
About ASML
ASML designs and builds extreme ultraviolet (EUV) and deep ultraviolet (DUV) photolithography machines, along with control software and lifecycle services, used by chipmakers to mass-produce microchips. Its revenue comes primarily from system sales and installed-base service contracts. Founded in 1984 and headquartered in Veldhoven, Netherlands, ASML supplies major semiconductor manufacturers, including TSMC, Samsung, and Intel.