Data Engineering Intern Jobs
Data engineering intern jobs are open across fintech, healthtech, e-commerce, and enterprise software, from pre-junior to returning-student level, with specializations in pipeline development, data warehouse engineering, and real-time stream processing. Scan the live roles below and apply to whichever ones fit.
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Location: Florida, Gainesville
Application Deadline: Applications must be received by 11:59pm EDT, November 15, 2026..
The Gainesville Regional Utilities Water/Wastewater Engineering Department is seeking a Data Analytics Student Intern to support engineering and operations staff across Water & Wastewater Systems. The intern will help compile and analyze large datasets on infrastructure, operations, and maintenance and will modify and develop reports, visualizations, and dashboards that turn complex data into clear, usable information for decision-making. This paid internship offers a valuable opportunity for a student to gain experience applying data analysis to real challenges while collaborating with engineers and industry experts. This is an in-person position and remote work is not offered.
This role is ideal for a student pursuing a degree in data science, statistics, computer science, information systems, engineering, or a related field who is analytical, detail-oriented, and dependable. The successful candidate will be comfortable working with large and sometimes messy datasets, identifying trends, and presenting findings clearly to both technical and non-technical audiences. They should be willing to take initiative across a variety of assignments and interested in learning how data informs the planning, operation, and maintenance of utility infrastructure.
The internship requires that the student be able to work a minimum of 15 hours per week, scheduled in blocks of at least four hours, and committed to working for at least two consecutive semesters, with a one or more-year commitment preferred.
To be considered for this paid internship, applicants must:
- Be a current student enrolled in an accredited college or university
- Have a minimum 2.0 GPA
- Be pursuing a degree in data science, statistics, computer science, engineering, or a related field
Ideal candidates may also have:
- Proficient with data visualization tools such as Power BI
- GIS software experience
- Proficiency in Microsoft Excel, including pivot tables and formulas
- Previous internship or co-op experience
FLSA Exemption Status
Summary
Incumbents will undertake a variety of entry-level assignments and projects in support of the assigned department. This temporary position provides developmental opportunities for students in business and technical work settings and assists in preparing them for possible future employment in these areas.
Positions allocated to this class report to the direct supervisor and works under general supervision.
Examples of Work
- Shadow and train with experienced and accomplished professionals in the assigned area.
- Learn and master internal operations, which could include accounting, event planning, finance, human resources, payroll, marketing, customer service, and other daily operations.
- Assist department and staff with day-to-day operations and tasks.
- Assist in preparing information and research materials; create and maintain PowerPoint presentations and Excel spreadsheets.
- Assist with assignments and special projects specific to the department.
- Assist in writing reports, conducting research, analyzing data, and making recommendations to improve effectiveness and efficiency.
- Communicate effectively with a variety of audiences, including the Mayor, City Commissioners, and members of the public.
- May attend business meetings and networking events.
- Attends work on a continuous and regular basis.
- Assist with normal office duties such answering phone inquiries, directing calls, and providing basic company information; oversee mail deliveries, packages, and couriers.
- Provide clerical support by taking memos, maintaining files, and organizing documents; photocopy, fax, scan as needed.
- Performs other related duties as assigned.
Education
- Graduation from high school or possession of an acceptable equivalency diploma; and must be enrolled in an institution of higher learning as a student working toward the completion of an associate, or bachelor degree in a related field.
- The student must maintain at least a 2.0 GPA.
- Students must be able to work 15 to 20 hours per week.
Knowledge, Skills, and Abilities
- Relevant work or classroom experience in areas related to the Department.
- Basic knowledge of organizational policies, procedures, and practices.
- Strong knowledge of Microsoft Office.
- Analytical abilities and aptitude in problem solving.
- Innovative and forward thinking.
- Strong research and writing skills are preferred.
- Ability to understand and follow moderately-complex oral and written instructions.
- Excellent written and oral communication skills as demonstrated by the ability to articulate complex information and issues clearly and concisely.
- Strong interpersonal skills as demonstrated by the ability to interact collaboratively and productively and to establish and maintain effective working relationships with individuals of diverse backgrounds including elected and appointed government officials, Charter Officers, City employees, representatives of other agencies, and the general public.
GRU Competencies
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Environmental Requirements
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Who's Hiring



Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in data engineering intern jobs.
- Proficiency in Python or Scala for data processing and scripting tasks
- Hands-on experience with SQL, including joins, aggregations, and window functions
- Familiarity with at least one cloud platform such as AWS, GCP, or Azure
- Exposure to data pipeline or workflow orchestration tools like Apache Airflow or dbt
- Currently enrolled in a bachelor's or master's program in computer science, data science, or a related field
- Understanding of distributed data systems and basic data modeling concepts
Tips for Your Data Engineering Intern Job Search
Tailor your resume to the stack
Recruiters screening data engineering intern resumes look for specific tools, not just 'data experience.' List the exact technologies you've used, such as Apache Spark, dbt, Airflow, or Snowflake, and match them to the stack named in each job posting before you apply.
Show a pipeline project in your portfolio
A single end-to-end project, even a small one, outperforms a long list of coursework. Build a public repo that ingests raw data, transforms it, and loads it somewhere queryable. Hiring managers for intern roles want proof you can connect the pieces.
Apply early to roles that fit
Migrate Mate lists data engineering intern openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target teams, not just company names
A data engineering intern role at a large company's growth analytics team is very different from one on its infrastructure platform team. Read the job description for the team's actual output, not just the company brand, so your cover note speaks to what they actually build.
Prepare for a SQL and coding screen
Most data engineering intern interviews include a live or take-home coding round focused on SQL window functions, Python data manipulation, or both. Practice writing queries that clean messy datasets and joining tables with non-obvious keys, not just basic SELECT statements.
Follow up with a specific technical detail
After your final interview round, send a follow-up that references one technical problem you discussed and how you thought through it. This reinforces your engineering instincts and keeps you memorable in a pool of candidates who send identical thank-you notes.
Data Engineering Intern Jobs: Frequently Asked Questions
Which companies are hiring the most data engineering interns?
Jacobs, Shure, and TikTok are hiring the most data engineering interns right now, with openings concentrated in California, Illinois, and Texas, based on current listings on Migrate Mate as of November 2026. Demand is particularly high at companies scaling their cloud data infrastructure or building out self-serve analytics platforms.
How many data engineering intern jobs are remote?
About 67% of data engineering intern openings are fully remote or hybrid as of November 2026, with remote options most common in roles focused on cloud pipeline development and analytics engineering rather than on-premise infrastructure or data center work. Hybrid arrangements tend to dominate at larger enterprise employers.
How do you become a data engineering intern?
Start by building foundational skills in SQL, Python, and at least one cloud platform. Build a project that demonstrates a complete data pipeline, from ingestion through transformation to a queryable output. Apply to roles that match your current stack, and be ready to explain your design decisions during a technical screen.
Can you get a data engineering intern role with no prior work experience?
Yes, many data engineering intern roles are designed for candidates with academic projects rather than professional work history. Employers focus on your ability to write clean SQL, manipulate data with Python, and explain your reasoning. A well-documented GitHub project that ingests and transforms a real dataset can substitute for a prior internship on your resume.
What does the data engineering intern interview process look like?
Most processes include a recruiter screen, a technical assessment covering SQL and Python, and a final round with the engineering team. The technical round often involves writing queries on a sample dataset or walking through a past project. Some teams add a system design question asking how you would architect a simple data pipeline.
Where can I find and apply to data engineering intern jobs?
You can find and apply to data engineering intern jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your skills and location preferences, then apply directly to each one that fits.
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