Data Engineering Intern - Summer 2026

Brown and Caldwell•Town of DeWitt, NY

15h

About The Position

At Brown and Caldwell, an environmental engineering firm, we’re unlocking the potential of water and healthy environments to create thriving communities. Delivering this shared purpose starts with our people: We recruit individuals seeking to develop their skills and gain experience to build a strong foundation for the future Through an internship at Brown and Caldwell, you’ll gain real-life, hands-on experience alongside our employee owners, engineers, scientists, consultants, and constructors who are driving positive changes for our clients and communities. Here you’ll find opportunities for impact, community that lifts, support to thrive, and trust in you as you embark on your career journey. So, what’s possible for you? Brown and Caldwell offers Summer Internship opportunities to spend a summer working with our team to support the Digital Solutions team. We are seeking an individual interested in gaining practical, hands-on experience outside of the classroom. We promise a collaborative environment where you will grow as a professional under the guidance of your people manager and team and be trusted to support project objectives. Our work is interesting, challenging, wide-ranging in nature, and impactful for the communities we live in. We invite you to embrace your possibilities and join us to learn and develop with our team of nationally recognized experts! Detailed Description: How Will You Make an Impact?: Interns at Brown and Caldwell make a daily, material impact by completing support duties to advance their team’s projects and objectives. They receive professional training and the support of their team. Interns can expect to be onboarded, mentored, and developed by industry leaders to develop real-life skills and make an impact on their assigned projects. As a Summer Intern, you can expect your experience to include the following: Collaborate closely with data engineers, software engineers, project managers, and multidisciplinary teams to support data initiatives across water, wastewater, environmental engineering, sustainability, and climate projects. Design, build, and maintain Azure-based data pipelines to ingest, transform, and publish structured and unstructured data for analytics and reporting. Develop and enhance Python-based data processing and transformation workflows, including data validation and quality checks. Use Git for version control, participating in collaborative development practices such as pull requests, reviews, and documentation. Support and learn CI/CD practices, including automated testing and deployment of data pipelines and analytics artifacts. Ensure data quality, accuracy, and reliability by following established QA/QC processes, data governance standards, and best practices. Communicate effectively with both technical and nontechnical stakeholders to understand requirements and deliver data solutions. Manage assigned tasks and deliverables on time while developing strong organizational, analytical, and problem solving skills. Complete an Internship Capstone Project that demonstrates growth in cloud data engineering, automation, and analytics over the course of the summer.

Requirements

To qualify for an internship, you must be a current undergraduate, graduate, or advanced degree student with a degree in Computer Science, Electrical Engineering, Statistics, Mathematics or a related field.
Academic or project experience using Python, SQL, or data processing libraries.
Familiarity with cloud platforms, preferably Microsoft Azure, and foundational data engineering concepts.
Working knowledge of Linux, Bash/shell scripting, and command-line interfaces.
Exposure to data pipelines, Git, and CI/CD or DevOps principles, through coursework, projects, or internships.
Strong analytical thinking, clear communication skills, and a desire to learn and apply modern data engineering practices in a real‑world environment.
You must be enrolled for the 2025–2026 academic year and plan to continue in Fall 2026.
You also must maintain a minimum cumulative GPA of 3.0 on a 4.0 scale.

Responsibilities

Collaborate closely with data engineers, software engineers, project managers, and multidisciplinary teams to support data initiatives across water, wastewater, environmental engineering, sustainability, and climate projects.
Design, build, and maintain Azure-based data pipelines to ingest, transform, and publish structured and unstructured data for analytics and reporting.
Develop and enhance Python-based data processing and transformation workflows, including data validation and quality checks.
Use Git for version control, participating in collaborative development practices such as pull requests, reviews, and documentation.
Support and learn CI/CD practices, including automated testing and deployment of data pipelines and analytics artifacts.
Ensure data quality, accuracy, and reliability by following established QA/QC processes, data governance standards, and best practices.
Communicate effectively with both technical and nontechnical stakeholders to understand requirements and deliver data solutions.
Manage assigned tasks and deliverables on time while developing strong organizational, analytical, and problem solving skills.
Complete an Internship Capstone Project that demonstrates growth in cloud data engineering, automation, and analytics over the course of the summer.