Intern- Engineering (Data Engineering)

Are you looking for a unique opportunity to be a part of something great? Want to join a 17,000-member team that works on the technology that powers the world around us? Looking for an atmosphere of trust, empowerment, respect, diversity, and communication? How about an opportunity to own a piece of a multi-billion dollar (with a B!) global organization? We offer all that and more at Microchip Technology Inc.

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Our company is built by dedicated team players who love to challenge the status quo; we did not achieve record revenue and over 30 years of quarterly profitability without a great team dedicated to empowering innovation. People like you.

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Job Description:

Overview

We are looking for a Data Engineering Intern with a strong foundation in SQL and data modeling, along with exposure to modern data platforms. This role is suited for candidates with hands-on experience (projects, coursework, or internships) who want to work on real production data systems.

The primary focus of this role is building reliable, high-quality data models that support analytics and downstream data use cases.

Responsibilities

dbt & Data Modeling (Primary Focus)

• Build and maintain dbt models used for analytics and downstream workflows

• Develop incremental models and snapshots for scalable data processing

• Apply dbt tests and documentation to ensure data quality and reliability

• Understand and work with data lineage from raw to curated layers

• Follow established SQL and dbt standards and participate in code reviews

SQL & Data Foundations

• Write and optimize SQL queries for data transformation

• Debug data issues using SQL and dbt test results

• Work with joins, aggregations, and window functions to ensure correctness and performance

• Understand how data design impacts downstream systems and reporting

AWS & Cloud Basics

• Work with data stored in Amazon S3 within a lakehouse architecture

• Understand IAM roles, permissions, and secure access patterns

• Assist in troubleshooting and improving cloud-based data workflows

Databricks & Lakehouse

• Use Databricks to execute and monitor data pipelines

• Work with Delta Lake tables across bronze, silver, and gold layers

• Support batch and micro-batch processing using Spark

• Gain exposure to governance concepts such as Unity Catalog

Requirements/Qualifications:

Qualifications

• Currently enrolled in bachelor or masters program

• Strong SQL fundamentals (required)

• Basic understanding of data modeling concepts

• Exposure to Python and data processing tools (Spark is a plus)

• Familiarity with dbt, Databricks, or AWS is a plus

• Ability to learn quickly and work with structured guidance

Travel Time:

No Travel

Physical Attributes:

Hearing, Seeing, Talking, Works Alone, Works Around Others

Physical Requirements:

80% sitting, 10% standing, 10% walking, 100% inside

Microchip Technology Inc is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

For more information on applicable equal employment regulations, please refer to the Know Your Rights: Workplace Discrimination is Illegal Poster.

To all recruitment agencies: Microchip Technology Inc. does not accept unsolicited agency resumes. Please do not forward resumes to our recruiting team or other Microchip employees. Microchip is not responsible for any fees related to unsolicited resumes.