30+ days ago - req31598

US Intern - Data Engineering


Computer science & software engineering

In a nutshell


San Diego - CA, US




No experience (Student)



Job Category

Computer science & software engineering

Introduction to the job

Join the IT Big Data & Analytics (BDA) US team to engage with business and implement a data integration pipeline.Supplement team capacity in order to meet growing Cymer Light Source business demand for data access and integration across business critical data sources across the enterprise.

Gain a deeper understanding of how data is managed, manipulated, and made available to support decision making and address business questions.

This position requires access to controlled technology, as defined in the Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.

  • Support growing business demand for enhancements in data integration in business critical data platforms increasing team out
  • Support defining and enforcing data virtualization best practices in regards to development and operations
  • Help adopt testing automation to complement and potentially enhance manual testing processes

The internship is a 12 week program with start dates 5/16, 5/31, or 6/20. We anticipate the interns to be on-site Summer 2022.

Role and responsibilities

Internship Objective: Contribute to the development and improvement of data integration of business critical platforms and development processes.

Internship Scope:

  • Contribute as a data engineer to develop, extend data pipelines for automate unstructured service request data to store in a structured way for a detailed analysis.
  • Work closely with data science team to develop trusted functions using python packages
  • Contribute to enhancements to the SpotFire dashboards developed as part of data science use cases.
  • Work with Data Scientists and Machine Learning engineers to industrialize the data pipelines and optimize their data science workloads.
  • Work closely together with solution architect to develop data pipeline to automate the process of storing the datasets in Azure Cloud

Education and experience

  • Graduate student majoring in Data Integration or Data Engineering with a GPA of 3.0 or above.Must be currently in school.
  • Expertise with open source or commercial data integration tools (Python, PowerShell, Microsoft SQL Server Integration Services (SSIS), SpotFire etc.)
  • Expertise with structured content and databases / repositories (Microsoft SQL Server)
  • Expertise with agile and development pipeline including test automation frameworks (Jira, Jenkins,Cucumber, etc.)
  • Familiar with data impact analysis, software development practices, and data architecture concepts


Working at the cutting edge of tech, you’ll always have new challenges and new problems to solve – and working together is the only way do that. You won’t work in a silo. Instead, you’ll be part of a creative, dynamic work environment where you’ll collaborate with supportive colleagues. There is always space for creative and unique points of view. You’ll have the flexibility and trust to choose how best to tackle tasks and solve problems.
To thrive in this job, you’ll need the following skills:

Diversity & Inclusion

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 diversity and inclusion is a driving force in the success of our company.

Other information

  • Work with diverse types and large volumes of data from a high-tech discreet manufacturing and global customer support operations in the leading edge of semiconductor fabrication.
  • Engage with a range of business unit and corporate stakeholders to understand enterprise processes, the underlying business data, and tackle opportunities for existing and new business challenges through data enablement, correlation and visualization.

EOE AA M/F/Veteran/Disability

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