Data Engineer Co-op: Build Real-World Data Pipelines

MegazoneCloud US; City of Rochester (NY); On-site; USD 27,552 - 41,328; Full time

Benefits offered by this job

Growth opportunities

Mentorship from senior engineers

Collaborative team environment

Job summary

A leading cloud technology firm in Rochester is looking for a Data Engineer Co-op who is passionate about applying technical skills to real-world problems. The role involves collaborating with senior engineers, contributing to data pipelines, and optimizing code in Python and SQL. Ideal candidates are pursuing a degree in Computer Science or a related field and have experience with data structures and algorithms. This opportunity offers a chance to work in a dynamic environment that values learning and diverse perspectives.

Qualifications

• Currently pursuing a Bachelor’s or Master’s degree.
• Expected graduation date of December 2026 or later.
• Academic or project experience with Python and SQL.
• Solid understanding of data structures and algorithms.
• A strategic 'builder' mentality.
• Ability to communicate technical ideas clearly.
• Eligible to work in the US.

Responsibilities

• Work within the technical team on data pipelines.
• Collaborate with senior engineers for mentorship.
• Write and optimize Python and SQL code.
• Participate in team meetings and design discussions.
• Gain exposure to AWS, Databricks, and Snowflake.
• Work with data science and infrastructure teams.

Skills

Python

SQL

Data structures

Algorithms

Database principles

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

AWS

Databricks

Snowflake

Job description

A leading cloud technology firm in Rochester is looking for a Data Engineer Co-op who is passionate about applying technical skills to real-world problems. The role involves collaborating with senior engineers, contributing to data pipelines, and optimizing code in Python and SQL. Ideal candidates are pursuing a degree in Computer Science or a related field and have experience with data structures and algorithms. This opportunity offers a chance to work in a dynamic environment that values learning and diverse perspectives.