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Intern, Data Engineering

JM Family Enterprises, Inc.
Full-time
On-site
Miami-Fort Lauderdale Area
The JM Family College Internship program is designed to create an opportunity for college students to have meaningful work experiences that tie to their programs of study. As part of this program, you will actively contribute to your teamโ€™s success, learn about JM Familyโ€™s companies and culture while obtaining new skills through learning opportunities, networking events and much more.

The ideal candidate will be available to work full time hours during the Summer Internship Program (May 27, 2025 - August 1, 2025).

Interns will engage in meaningful work and gain insights into specific projects or tasks, providing hands-on experience, and contributing to various department initiatives. They will learn about JM Familyโ€™s culture including our core values: Consideration, Cooperation, Communication, Innovation and Accountability. These core values are part of our keys to success and the skills that embody these values are what drives our success as an organization.

We are looking for a motivated and enthusiastic Data Engineering Intern to join our dynamic IT team. This internship offers an excellent opportunity to gain hands-on experience in data engineering, work on real-world projects, and collaborate with experienced professionals. The ideal candidate is currently pursuing a degree in Computer Science, Data Engineering, or a related field and has a passion for data and technology.

Responsibilities

Assist in the design, development, and maintenance of data pipelines and ETL processes.Collaborate with the data engineering team to analyze requirements, develop ETL specifications and implement data solutions. Participate in code reviews and contribute to the improvement of coding standards. Work on assigned projects and tasks, ensuring timely and high-quality delivery. Document data processes and provide support for data-related improvements. Engage in Agile development processes and contribute to team meetings and discussions.

Qualifications

This is a full-time position with flexible working arrangements depending on the business need.Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Prior Knowledge / experience working with ETL tools such as Informatica, Azure Data factory will be a plus. Familiarity with ANSI SQL & RDBMS concepts is desired. Excellent problem-solving skills and attention to detail. Ability to work independently and as part of a team. Strong communication and interpersonal skills.

Preferred Qualifications

Experience with data processing frameworks and technologies (e.g., Apache Spark, Hadoop). Knowledge of database management systems (e.g., SQL, NoSQL). Understanding of version control systems (e.g., Git).

This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at any time at the sole discretion of JM Family. All work arrangements are subject to associate performance, business need and manager discretion, and may be revised as necessary.

JM FAMILY IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER

JM Family Enterprises, Inc. is an Equal Employment Opportunity employer. We are committed to recruiting, hiring, retaining, and promoting qualified associates without regard to age, race, religion, color, gender, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity, gender expression, mental or physical disability, national origin, marital status, citizenship, military status, genetic information, veteran status, or any other characteristic protected by federal, state, provincial, or local law.

DISABILITY ACCOMMODATIONS

If you have a disability and require a reasonable accommodation to complete the job application process, please contact JM Familyโ€™s Talent Acquisition department at talentacquisition@jmfamily.com for assistance. If you have an accommodation request for one of our recruiting events, please notify us at least 72 hours prior so that we may provide assistance.