1

Data Engineer Internship Jobs in Boca Raton, FL (NOW HIRING)

Quality Engineer 2

Miramar, FL · On-site

$65K - $85K/yr

Data collection, analysis, and dissemination including quality performance, cost and reliability ... Previous work or internship experience in a quality engineering role Garmin International is an ...

... in data acquisition and real-time computing environments. Working alongside experienced engineers ... Experience: * 1-3 years of relevant experience (internships or co-op experience acceptable)

AI Engineer

Fort Lauderdale, FL · On-site

$60 - $110/hr

Data validation and enrichment * Intelligent document processing * AI-assisted development or ... interns, or any other covered persons because of age, race, creed, color, religion, sex, including ...

Digital Analyst Internships

Boca Raton, FL · On-site

$93K - $110K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

Digital Analyst Internships

Lake Worth, FL · On-site

$88K - $104K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

Associate / Junior .Net Developer

Boca Raton, FL · On-site

$63K - $82K/yr

Preferred Qualifications • Internship or project experience in full-stack development, API engineering, data pipelines, cloud deployment, or production-like application delivery. • Exposure to ...

next page

Showing results 1-20

Data Engineer Internship information

See Boca Raton, FL salary details

$12

$24

$36

How much do data engineer internship jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for data engineer internship in Boca Raton, FL is $24.05, according to ZipRecruiter salary data. Most workers in this role earn between $19.57 and $27.31 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Engineer Internship position, and why are they important?

To thrive as a Data Engineer Intern, you need a solid background in programming (especially Python or Java), SQL, and basic data management concepts, often gained through coursework in computer science, data science, or related fields. Experience with tools like SQL databases, ETL pipelines, and cloud platforms (such as AWS or Azure), as well as familiarity with big data frameworks like Hadoop or Spark, is highly valuable. Strong analytical thinking, attention to detail, and the ability to communicate technical information clearly help interns collaborate effectively within diverse teams. These skills are vital for supporting data infrastructure development, ensuring data quality, and contributing to impactful data-driven solutions.

What is a Data Engineer Internship job?

A Data Engineer Internship is a temporary, entry-level role where interns gain hands-on experience in data infrastructure, ETL pipelines, and database management. Interns typically work with large datasets, assist in building data models, and collaborate with data scientists and analysts to ensure efficient data processing. They learn tools like SQL, Python, and cloud platforms while improving data quality and automation processes. This role provides valuable industry experience and prepares interns for full-time data engineering positions.

What types of projects or tasks can I expect to work on during a Data Engineer Internship?

As a Data Engineer Intern, you can expect to assist with building and maintaining data pipelines, cleaning and transforming datasets, and supporting the integration of new data sources. You may also help optimize database performance, troubleshoot data quality issues, and collaborate with data scientists or analysts to ensure data accessibility. Interns often work on real-world projects that offer hands-on experience with tools and technologies common in the industry. This exposure not only builds your technical skills but also provides valuable insights into how data engineering supports business decision-making and analytics.

What are the most commonly searched types of Data Engineer jobs in Boca Raton, FL? The most popular types of Data Engineer jobs in Boca Raton, FL are:
What are popular job titles related to Data Engineer Internship jobs in Boca Raton, FL? For Data Engineer Internship jobs in Boca Raton, FL, the most frequently searched job titles are:
What cities near Boca Raton, FL are hiring for Data Engineer Internship jobs? Cities near Boca Raton, FL with the most Data Engineer Internship job openings:

Process Improvement / PLM Data Intern

Florida Crystals / ASR Group

Boca Raton, FL • On-site

Internship

Posted 13 days ago


Job description

The ASR Group® family of companies make up the world's largest refiner and marketer of cane sugar. The companies produce a full line of grocery, industrial, foodservice and specialty sweetener products. Across North America, ASR Group® companies operate five sugar refineries, located in California, Maryland, Louisiana, Canada and Mexico. In Europe, ASR Group® companies operate sugar refineries in the United Kingdom, Portugal, and, with a joint venture partner, Italy. The companies also farm sugarcane and own sugar mills in Mexico and Belize. The ASR Group® portfolio includes the leading brands Domino®, C&H®, Florida Crystals®, Redpath®, Tate & Lyle®, Lyle's®, Sidul® and Whitworths®. ASR Group® companies also produce and market Tellus®, a single-use, compostable tableware and foodservice product made from plant fibers, including sugarcane.
OVERVIEW
The Process Improvement / PLM Data Intern will support ASR Group's efforts to improve data quality, reporting, and visibility within Product Lifecycle Management (PLM) and related systems. The intern will help organize, clean, and analyze product and formulation data and associated documentation, while partnering with R&D, Operations, Quality, and Regulatory teams to strengthen how information is captured, maintained, and used across the business.
DETAILED ROLES & RESPONSIBILITIES
  • Review, clean, and standardize product, formulation, artwork, and documentation data within PLM systems.
  • Identify missing, inconsistent, or duplicate data; perform basic data checks and support corrective updates.
  • Collect and organize data from PLM and related systems; build simple reports and dashboards using Excel, Power BI, or similar tools.
  • Support basic analysis to identify trends, gaps, and recurring data-quality issues; summarize findings in charts, tables, and concise written updates.
  • Document current workflows for product data and documentation management; identify opportunities to simplify, improve, or standardize processes.
  • Partner with R&D, Operations, Quality, and Regulatory teams to gather, validate, and maintain product data and support internal requests under guidance.
  • Identify manual or repetitive tasks that could be simplified or automated; support basic automation using templates and spreadsheet-based tools.
  • Maintain organized records of data updates and help draft simple guidelines for data entry and maintenance.

WORK EXPERIENCES
  • Experience working with structured data through coursework, projects, or internships; demonstrated attention to detail and data quality
  • Proficiency with Microsoft Excel (sorting, filtering, basic formulas); comfort organizing and maintaining datasets
  • Ability to communicate clearly and collaborate with cross-functional partners
  • Exposure to reporting and visualization tools (Power BI, Tableau, or similar) preferred
  • Basic familiarity with SQL and/or Python preferred

EDUCATION REQUIREMENTS
  • Currently pursuing (or recently completed) a degree in Data Science, Data Analytics, Computer Science, Engineering, Information Systems, or a related field.

SUPERVISORY RESPONSIBILITY
This role has no supervisory responsibility.
TRAVEL REQUIREMENTS
Less than 10% travel, based on business needs.
ESSENTIAL CAPABILITIES (KNOWLEDGE, SKILLS, ABILITIES AND PERSONAL ATTRIBUTES)
  • Analytical Thinking & Decision Making - Identifies patterns and data-quality issues; connects information to support practical recommendations.
  • Effective Communication - Communicates clearly with technical and non-technical partners; summarizes findings concisely.
  • Teamwork & Collaboration - Works effectively across R&D, Operations, Quality, and Regulatory teams.
  • Problem-Solving - Diagnoses issues systematically and supports solutions that improve data accuracy and process efficiency.
  • Results Orientation & Accountability - Takes ownership of assigned tasks and delivers on commitments.
  • Adaptability/Flexibility - Maintains effectiveness as priorities and requirements evolve.
  • Continuous Improvement - Looks for ways to streamline work and improve how information is captured and maintained.
  • Self-Development - Seeks feedback and learns new tools and methods to grow capability.

LOCATION OF ROLE
  • Boca Raton, FL

We are an equal opportunity employer. We do not discriminate on the basis of race, color, creed, religion, gender, sexual orientation, gender identity, age, national origin, disability, veteran status or any other category protected under federal, state, or local law. All employment is decided on the basis of qualifications, merit, and business need.