Job Posting, Grand Rapids, MI

Data Engineering Intern

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About Mutually Human

At Mutually Human, we believe that innovation ensures relevancy. We help companies harness the power of Artificial Intelligence, Data, and Software through a holistic approach that emphasizes People, Process, and Technology. Our services are designed to solve key business challenges like optimizing operational efficiency, driving data-driven decision-making, and enhancing customer experiences. Join our team to help businesses stay ahead in an ever-evolving digital landscape.

Position Overview

We are looking for a Data Engineering Intern to join our data team. In this role, you will work alongside experienced engineers to help build, maintain, and optimize data pipelines and infrastructure that power our analytics and data-driven decision-making.

Key Responsibilities

Responsibilities

Assist in designing, building, and maintaining scalable ETL/ELT pipelines
Support data ingestion from a variety of sources including APIs, databases, and flat files
Help monitor and troubleshoot data pipeline failures and performance issues
Write clean, well-documented SQL and Python code for data transformation tasks
Collaborate with data analysts and scientists to understand data requirements
Contribute to data quality checks, validation frameworks, and testing
Participate in code reviews and team standups
Document data flows, schemas, and processes

Qualifications

Qualifications

Currently pursuing a degree in Computer Science, Data Science, Engineering, or a related field
Familiarity with Python or another programming language
Basic understanding of SQL and relational databases
Exposure to data concepts such as data modeling, ETL processes, or data warehousing (coursework counts)
Strong analytical and problem-solving skills
Eagerness to learn and ability to work independently

Nice to Have

Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with tools like Spark, Airflow, dbt, or Kafka
Knowledge of version control with Git
Prior internship or project experience with data pipelines or large datasets

What You’ll Gain

Hands-on experience with real-world data infrastructure
Mentorship from senior data engineers
Exposure to modern data stack tools and best practices
Opportunity to contribute to meaningful projects with measurable impact