IT Intern - Data Engineer (Data Platforms & Analytics)

Waters Corporation•Milford, MA

16h•Hybrid

About The Position

Overview Waters Corporation is always looking to hire outstanding future talent for our company. The IT Data Engineering team is looking to hire a summer intern on a hybrid work schedule out of our Milford, MA office. This internship is a phenomenal opportunity to gain real-world experience while working at the world's leading specialty measurement company. This internship will last approximately ten weeks and the program will commence in the spring/summer of 2026. Waters is laser focused on: Groundbreaking Life-Science Innovation: With our scientific expertise, we aim to solve problems that matter. We develop innovative analytical technologies to catalyze groundbreaking advancements in drug discovery, propel clinical development, and ensure the safety and quality of both small and large molecule therapies, including novel modalities such as Cell & Gene Therapy and mRNA. Diversity, Equity and Inclusion: Our people are paramount in enabling us to solve problems that matter. Waters is committed to fostering a diverse and inclusive workplace that is representative of the societies we live in. Our approach to Diversity, Equity, and Inclusion (DEI) is designed to shift attitudes, foster inclusive behaviors, and encourage increased representation of employees with diverse backgrounds. Global Impact: With operations in over 35 countries and a global team of over 8,000, our work goes beyond the life sciences. We contribute to ensuring the safety of food and water, such as precise PFAS measurement, and advancing new materials and technology, including batteries for electric vehicles.

Requirements

At Waters, we view the internship program as a mutually beneficial opportunity designed to equip students real world experience, while learning from industry leaders in their functional area of choice. Our goal is that an internship at Waters will enable you to build your network as an early career professional, fast tracking your future career prospects and setting you up for success in the job market. A few key attributes we are seeking in intern candidates include:
Curiosity: Individuals across the organization are passionate about working with, and developing students who have a passion for their subject area and a knack for problem solving.
Courage: We admire individuals who challenge the status quo, take on leadership roles, and embrace challenges outside their comfort zones.
Compassion: We expect our team members to embody empathy in their work, fostering ethical professionalism, collaboration, active listening, and a commitment to continuous learning and growth.
Technical Skills (Foundational): Solid proficiency in SQL (ability to write complex queries, joins, subqueries).
Basic programming skills in Python (preferred).
Understanding of basic database concepts (relational databases, tables, schemas).
Strong analytical and problem-solving abilities with attention to detail.
Eagerness to learn and debug technical issues.
Good verbal and written communication skills.
Proactive, curious, and a strong desire to learn and grow in a fast-paced environment.
Ability to work effectively in a team-oriented environment.

Nice To Haves

Familiarity with data warehousing concepts (e.g., facts, dimensions) is a plus.
Exposure to version control systems (e.g., Git) is desirable.

Responsibilities

ETL Development & Support: Assist in the design, development, and maintenance of ETL (Extract, Transform, Load) processes and data pipelines.
Write and optimize SQL queries for data extraction, transformation, and loading.
Help implement data validation and quality checks within ETL workflows.
Data Integration: Support the integration of data from various source systems (databases, APIs, files) into our data warehouse and data lake.
Contribute to data mapping and schema definition for new data sources.
Monitoring & Maintenance: Monitor existing ETL jobs and data pipelines for performance, errors, and data integrity issues.
Assist in troubleshooting and resolving production issues related to data pipelines.
Help maintain documentation for ETL processes and data flows.
Learning & Collaboration: Work closely with senior data engineers to learn about data modeling, data warehousing concepts, and best practices in data engineering.
Collaborate with data analysts, data scientists, and other teams to understand data requirements and contribute to data solutions.
Participate in code reviews and team discussions to improve technical skills and processes.
Continuously learn and stay updated with new data technologies and tools.