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Data Engineering Intern Jobs in Florida (NOW HIRING)

MITER Brands

Intern - Engineering

Nokomis, FL · On-site

$15.75 - $20.50/hr

The intern will work closely with the engineering and operations teams to identify inefficiencies, analyze workflows, support standardization efforts, and contribute to data-driven decision-making ...

BLUE OPS INC

Mechanical Engineering Intern

West Palm Beach, FL · On-site

$18.25 - $24.50/hr

As a Mechanical Engineering Intern, you will work alongside experienced engineers to design, test ... Conduct performance testing of mechanical systems aboard USV platforms and analyze field trial data

RE/SPEC Inc.

Student Engineering Intern - Civil

Fort Myers, FL · On-site

$16.25 - $21.25/hr

... or apply data-driven technology to improve mining and water systems. We bring deep technical ... RESPEC seeks a motivated intern for our Fort Myers, FL, location. This role involves all aspects of ...

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Data Engineering Intern information

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How much do data engineering intern jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for data engineering intern in Florida is $14.43, according to ZipRecruiter salary data. Most workers in this role earn between $12.02 and $15.62 per hour, depending on experience, location, and employer.

What types of projects and technologies can a Data Engineering Intern expect to work with during their internship?

As a Data Engineering Intern, you’ll typically work on projects involving data pipeline development, data cleaning, and integration of data from various sources. You can expect to use technologies like SQL, Python, and tools such as Apache Spark, Hadoop, or cloud platforms like AWS or Google Cloud. Interns often collaborate closely with data engineers, analysts, and sometimes data scientists to ensure data is accessible, reliable, and well-organized for analysis. This hands-on experience helps you build foundational skills and understand real-world data workflows within a collaborative team environment.

What does a Data Engineering Intern do?

A Data Engineering Intern assists in building and maintaining the systems and infrastructure that allow organizations to collect, store, and analyze large volumes of data. Their responsibilities often include cleaning and organizing raw data, developing data pipelines, and supporting the work of data engineers and data scientists. Interns may also work with tools like SQL, Python, and cloud platforms to automate data workflows. This role provides hands-on experience in managing data processes and understanding the fundamentals of data engineering in a real-world environment.

What is the difference between Data Engineering Intern vs Data Analyst Intern?

AspectData Engineering InternData Analyst Intern
Required SkillsBasic SQL, programming (Python, Java), understanding of data pipelinesData visualization, SQL, statistical analysis
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness intelligence teams, reporting tools, dashboards
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, retail, business sectors

While both roles involve working with data, a Data Engineering Intern focuses on building and maintaining data pipelines and infrastructure, whereas a Data Analyst Intern analyzes data to generate insights and reports. The roles share some technical skills like SQL but differ in their core responsibilities and work environments.

What are the key skills and qualifications needed to thrive as a Data Engineering Intern, and why are they important?

To thrive as a Data Engineering Intern, you need foundational knowledge in programming (especially Python or Java), databases, and data structures, often obtained through coursework in computer science or related fields. Familiarity with SQL, cloud platforms (like AWS or Azure), and data pipeline tools such as Apache Spark or Airflow is typically required. Strong problem-solving skills, attention to detail, and effective communication set exceptional interns apart. These skills and qualities are crucial for efficiently handling data workflows, collaborating with teams, and contributing to high-quality data solutions.
What are the most commonly searched types of Data Engineering jobs in Florida? The most popular types of Data Engineering jobs in Florida are:
What cities in Florida are hiring for Data Engineering Intern jobs? Cities in Florida with the most Data Engineering Intern job openings:
Data Engineering Intern jobs near you
AI Engineering Intern-38031

AI Engineering Intern-38031

Harvard Maintenance, Inc

Miami, FL

$16 - $20.75/hr

Temporary

Posted 11 days ago

Harvard Maintenance rating

7.2

Company rating: 7.2 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

5th of 56 rated cleaning companies

Job description

Are you ready to be part of something Extraordinary? Look no further than Harvard is the largest family-owned provider of premier commercial janitorial and professional security services in the United States. We believe in the power of our people. Here, every team member is valued, empowered, and trained to contribute their best. We foster an inclusive workplace culture where diversity is celebrated and every voice matters.

A day in the life:

Harvard Maintenance is investing in data and AI to modernize how we deliver service across our national operations. Our AI Team is building the analytics, workflows, and tools that help our operators, supervisors, and back-office teams work smarter — from how operational performance is measured and reported, to how we surface insights from our work order and financial data, to how we use AI to accelerate the analytics we deliver to the business and to our clients.

We are looking for an AI Engineering Intern to join the team and work directly with the AI Solutions Architect on real initiatives that touch the business. This is a hands-on, data-centric internship: you will write Python scripts, work with operational and financial data, build dashboards and analytical models, and learn how AI is applied to accelerate analytics work in an enterprise environment.


What You Will Work On

Your projects will be drawn from our active data and AI roadmap and matched to your skills. Expect to spend the majority of your time on data and analytics work, with meaningful exposure to AI engineering on top of that foundation:

  • Operational data analytics — Work hands-on with our operational data (work orders, labor, schedules, financials) to answer real business questions. Build queries, transformations, and analyses that go directly to operations leaders and finance partners.
  • Dashboards and reporting — Design and build dashboards and recurring reports in Power BI. Translate stakeholder requirements into clear, well-modeled, performant visualizations.
  • Data modeling and pipelines — Help shape how we structure operational and financial data for analytics. Contribute to data models, transformations, and lightweight pipelines that feed reporting and AI use cases.
  • AI-augmented analytics — Build LLM-driven workflows that accelerate analytics work: automated data summaries, natural-language querying of operational data, document understanding (contracts, specs, inspection reports), and assistants that help internal teams self-serve information.
  • Agentic workflows and AI tooling — Learn alongside the team how to use modern AI engineering tools (Claude Code, Codex, MCP-based integrations) to ship analytical work and prototypes faster and more reliably.
  • Deployment and integration — Help take analytical prototypes from concept to a deployed internal service or scheduled job: basic CI/CD, APIs, and integration with existing platforms.
  • Data governance and security — Learn how analytics and AI get built responsibly inside a corporate environment: secure handling of operational and financial data, access controls, and alignment with our security and compliance requirements.
What You Will Get
  • Direct mentorship from the AI Solutions Architect, with real ownership of analytical work that touches the business.
  • Exposure to how data and AI are adopted inside a large, established services company — not a hypothetical exercise, but a real transformation in motion.
  • Hands-on training in modern analytics and AI engineering practices: SQL, Python, dashboarding, agentic coding, evaluation, and production deployment.
  • Competitive paid internship.
  • Strong consideration for a full-time analyst, data engineering, or AI engineering role for high-performing interns.

What We Are Looking For

You are a current undergraduate or graduate student pursuing one of the following (or a closely related field):

  • Data Analytics
  • Data Science / Statistics
  • Computer Science / Software Engineering
  • Cybersecurity
  • Business Analytics / Management Information Systems

You should bring most of the following:

  • Part-time availability — Availability to work approximately 25 hours per week.
  • Strong SQL — Comfortable writing complex queries, joins, aggregations, window functions, and CTEs. Able to reason about query performance on large tables.
  • Solid Python — Specifically for data work: pandas, basic data wrangling, and reading/writing common data formats.
  • Analytical mindset — You can take an ambiguous business question, break it down, and figure out what data and what analysis would actually answer it.
  • Dashboarding exposure — Coursework, internships, or personal projects using Power BI, Tableau, Looker, or a similar tool.
  • Curiosity about LLMs and AI tools — You have built something with the OpenAI or Anthropic API, experimented with retrieval-augmented generation, written prompts that do useful work, or tried an agent framework. You do not need to have trained a model from scratch.
  • Git fundamentals — Branching, pull requests, and working in a real shared codebase.
  • Clear written communication — You can explain your analysis to people who are not engineers or data scientists.
  • Professional maturity — You will be working with operational and financial data from a real business. Discretion, reliability, and attention to detail matter.
Nice to Have (Not Required)
  • Exposure to data warehouses or analytical databases (Snowflake, BigQuery, Redshift, Synapse, or SQL Server).
  • Experience with dbt, Airflow, or similar transformation and orchestration tools.
  • Familiarity with statistical methods: hypothesis testing, regression, basic forecasting.
  • Exposure to LangChain, LlamaIndex, or similar AI orchestration frameworks.
  • Coursework or projects in cybersecurity, identity, or cloud security.
  • Background in facilities, services, or any operational/industrial context.

Join our team of Extraordinary People committed to delivering Exceptional Service. Together, we'll redefine industry standards and create a workplace where your talent thrives. Discover your potential with Harvard Maintenance. This is a paid internship opportunity designed to provide hands-on experience and professional development. Learn more about our company and culture, apply today and be part of something extraordinary.

An Equal Opportunity Employer --- M/F/D/V


USD $20.00/Hr.

What Harvard Maintenance employees say

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About Harvard Maintenance

Sourced by ZipRecruiter

The Harvard Companies provide important building services to thousands of clients across the business community. Harvard Maintenance and Harvard Protection Services are two of the largest and fastest growing, privately owned providers of high quality janitorial and security services in the United States. We are an industry leader and are well known for our innovative thinking and entrepreneurial spirit. Our success over the last fifty years stems from Harvard's Inverted Pyramid®, which recognizes that our front-line employees are the most important people in our organization. The Inverted Pyramid® ensures that our employees feel valued, are given the tools to be successful, and are empowered to execute in their roles. People are also at the center of our Core Values. Our People First core value clearly states that "we are a family organization that promotes respect and embraces diversity".

Industry

Facilities support services

Company size

5,001 - 10,000 Employees

Headquarters location

Miami, FL, US

Year founded

1961

Social media

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