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Data Engineering Intern Jobs (NOW HIRING)

PR · On-site

$16.25 - $21.25/hr

Analytics Engineering Intern Position Summary At On Point Strategy , we believe that data tells a story, and we make that story visible. We are looking for an Analytics Engineering Intern who is ...

Engineering Intern

Pasco, WA · On-site

$22 - $27/hr

Engineering Intern Permobil has a position open for a Engineering Intern * Pay Range: $22.00 - $27 ... Executes assigned test protocols accurately, including data collection, observations, and adherence ...

Engineering Intern

Willoughby, OH

$15.50 - $20.25/hr

The Engineering Intern will play a key role in supporting the New Product Development team by ... Collect, analyze, and present engineering test data using Excel and graphical reporting tools to ...

Engineering Intern

Pleasanton, CA · On-site

$18.75 - $24.25/hr

The Co-Op/Intern is an undergrad or master's student pursing an engineering degree and is ... data organization/collection * Document all work in compliance with AtriCure Quality System ...

Engineering Intern

Willoughby, OH · On-site

$15.50 - $20.25/hr

Description The Engineering Intern will play a key role in supporting the New Product Development ... Collect, analyze, and present engineering test data using Excel and graphical reporting tools to ...

Industrial Engineering Intern

Bowling Green, KY · On-site

$16.50 - $21.25/hr

The Industrial Engineering Intern supports manufacturing improvements in safety, quality, delivery, and cost by assisting with data analysis, process observations, and continuous improvement ...

Civil Engineering Intern

Doylestown, PA · On-site

$17.25 - $22.25/hr

As a Seasonal Civil Engineering Intern, you'll work alongside industry professionals on cutting ... You'll assist in site assessments, data collection, and analysis while learning how to apply ...

Manufacturing Engineering Intern

Alameda, CA · On-site

$19 - $24.75/hr

We are seeking a passionate, hands-on Manufacturing Engineering Intern to support Anthro's mission ... Analyze process data to identify improvement opportunities in throughput, safety, and reliability

AI Engineering Intern Role Overview The AI Engineering Intern (Intern) supports the design ... Support the development of AI models and prototypes through data preparation, scripting, and ...

Showing results 41-60

Data Engineering Intern information

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$11

$19

$29

How much do data engineering intern jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for data engineering intern in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

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 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 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 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 cities are hiring for Data Engineering Intern jobs?

Cities with the most Data Engineering Intern job openings:

What are the most commonly searched types of Data Engineering jobs?

The most popular types of Data Engineering jobs are:

What states have the most Data Engineering Intern jobs?

States with the most job openings for Data Engineering Intern jobs include:

Infographic showing various Data Engineering Intern job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Analytics Engineering Intern

PR • On-site

$16.25 - $21.25/hr

Internship

Re-posted 29 days ago


Job description

Analytics Engineering Intern


Position Summary

At On Point Strategy, we believe that data tells a story, and we make that story visible.


We are looking for an Analytics Engineering Intern who is eager to learn and passionate about transforming information into actionable insights. This role is ideal for students with curiosity for programming, process automation, and building scalable analytical solutions.


As part of our Analytics team, you will collaborate with experienced professionals, contribute to real projects, and strengthen your technical and analytical skills in a dynamic environment.



Key Responsibilities

  • Support the development of automated data workflows and reporting processes.
  • Assist in building scripts and tools using Python to improve operational efficiency.
  • Work with structured and unstructured data to support analytics and automation initiatives.
  • Collaborate on process optimization and automation projects across teams.



Technical Requirements

  • Familiarity with Python for scripting, automation and/or data analysis.
  • Basic knowledge of SQL and data querying concepts.
  • Exposure to Power BI or visualization tools.
  • Familiarity with APIs, automation tools, or workflow optimization concepts is a plus.
  • Intermediate proficiency in Excel and data organization.



Professional Qualifications

  • Currently pursuing a Bachelor’s degree in Statistics, Engineering, Economics, Business Administration, Data Science, Computer Science, or related fields.
  • Interest in data analysis, business intelligence, or analytics consulting.
  • Strong analytical thinking and attention to detail.
  • Good communication and collaboration skills.
  • Ability to learn quickly and work in a team-oriented environment.
  • Self-motivated, organized, and curious mindset.



Preferred Qualifications

  • Experience with Python libraries such as Pandas and NumPy, and familiarity with writing scripts for data processing or automation.
  • Experience building academic or personal projects involving data pipelines, dashboards, or automation.
  • Familiarity with GitHub, Git, or version control tools.
  • Interest in building integrations, automations, or data workflows using APIs and scripting tools.
  • Interest in AI, machine learning, or intelligent automation.


Why Join Us

  • Gain hands-on experience working on real business and analytics projects.
  • Receive mentorship and hands-on exposure to real-world analytics and automation projects.
  • Learn from a multidisciplinary team that combines strategy, analytics, and creativity.
  • Develop technical and professional skills in a collaborative environment.
  • Opportunity for growth and future career opportunities within the organization.



Additional Information

  • Candidates are encouraged to share academic, personal, or GitHub projects related to analytics, automation, programming, or data visualization.