Intern – Summer 2026 – Data Engineer

  OVERVIEW Crestron Electronics is dedicated to attracting exceptional emerging professionals by investing in resources and creating new opportunities for hands-on learning, professional growth, and career development in a supportive work environment. As a result, we have an exciting opportunity for a Summer 2026 Intern to join our Data Analytics team in Rockleigh, NJ. This role has been designated for a 100% onsite work arrangement (in office days: MON - FRI). Crestron Co-Ops can expect to be challenged with meaningful projects and tasks alongside professionals and subject matter experts in the field. Each Co-Op is assigned a dedicated mentor responsible for their development and acclimation to the company. Crestron also provides a variety of training and networking opportunities to participants in the program, aiming to present a comprehensive experience that enhances both technical and non-technical skill sets and prepares students for their professional careers. Crestron is an equal opportunity employer proud of its commitment to Diversity & Inclusion. Our Spring/Summer Co-Op program runs from January through August. Over the past several years, our internship and co-op programs have led to dozens of full-time offers to program alumni. This internship has the potential to turn into a full-time role at the end of the summer and is contingent upon performance.   WHAT YOU’LL DO Working as part of a high performing team, the Data Engineer Intern will use adept programming skills to manage large raw data sets, bring them into our internal databases, and transform them into clean, reliable, and meaningful business insights for operations and quality assurance. In this role, you will support the team by building optimal data architecture using Python and SQL as well as assisting with managing largescale data. You will build new data pipelines within Crestron’s existing processes and systems and automate them utilizing big data technologies such as AI and Machine Learning. You will have the opportunity to be part of the ever-growing demands of data strategy that support data science and business intelligence at scale. Typical activities include designing, building, and maintaining major data infrastructure, extract data from API applications, and create dashboards, visualizations, and product performance metrics.   RESPONSIBILITIES Primary Duties Leverage big data technologies (e.g. SQL, Python, AI, Machine Learning) to manage data infrastructures and automate data tasks Contribute to the creation of dashboards, visualizations, and performance metrics using modern tools and applications Manage SQL database used to store relevant information for data analytics processes and reporting Extract data from API based applications (i.e. Jira and others) Assist with data preprocessing and testing for Machine Learning/AI projects Increase Crestron’s capability with AI, Machine Learning, and data analytics by researching and deploying the latest advancements in the field Help monitor data input/extraction processes and flag inconsistencies or trends to the team Collaborate with teams to understand data needs Collaborate with team members to help build reports that clearly communicate insights in both visual and written formats Other duties as assigned by manager   Qualifications Bachelor’s degree in quantitative fields such as Data Science, Statistics, Computer Science, or other related fields of study Must be available to work a full‑time schedule (40 hours/week) for 10–12 weeks Must be commutable to and from the Rockleigh, NJ area for the duration of the internship period Must have permanent, unrestricted work authorization in the United States now and in the future   Technical Skills Design, develop, and maintain automated data pipelines to collect, process, and analyze data efficiently Develop, optimize, and maintain complex SQL Server databases to support business applications and reporting needs Proficiency in maximizing the power of dashboarding and data visualization tools (e.g., Power BI) Solid understanding of Machine Learning fundamentals, including supervised/unsupervised learning, probability, and statistics Strong data analysis skills, with the ability to synthesize and automate data, identify and highlight trends, assess business impacts, and make recommendations Strong knowledge of data structures, algorithms, and software architecture   Other Skills Must be responsible, self-motivated, creative, have a solid work ethic and have a desire to produce a quality product Strong communication skills (verbal, non-verbal, written, and listening) with the ability to articulate work at different levels of the organization as well as cross-functionally Positive and personable team player Strong problem-solving skills Inquisitive individual with a desire to learn, possessing a long-term desire to work in the Data Analytics space Ability to prioritize tasks and handle numerous assignments simultaneously Positive, personable, and able to work cohesively with others across various divisions