1

Internship Startup Data Engineer Jobs in Kansas (NOW HIRING)

Operations Engineering Interns

Topeka, KS · On-site

$14.25 - $18.75/hr

... collect data and learn the manufacturing process to create process improvement opportunities ... Smucker Company's Internship Program? Are you seeking an exceptional internship experience at a ...

Controls Engineer

Wichita, KS · On-site

$76.24 - $105.56/hr

Assists with startup, certification, and project turnover. * Ensures work quality on projects ... Prepares "as‑built" record drawings and documents from data supplied by installation or ...

$22 - $24/hr

... engineering, electrification, automation, and digital powerhouse? Then come join the Finance ... Data Science or Management Information Systems preferred * Education: Current undergraduate student ...

New

$22 - $24/hr

... engineering, electrification, automation, and digital powerhouse? Then come join the Finance ... Data Science or Management Information Systems preferred * Education: Current undergraduate student ...

$22 - $24/hr

... engineering, electrification, automation, and digital powerhouse? Then come join the Finance ... Data Science or Management Information Systems preferred * Education: Current undergraduate student ...

$22 - $24/hr

... engineering, electrification, automation, and digital powerhouse? Then come join the Finance ... Data Science or Management Information Systems preferred * Education: Current undergraduate student ...

$22 - $24/hr

... engineering, electrification, automation, and digital powerhouse? Then come join the Finance ... Data Science or Management Information Systems preferred * Education: Current undergraduate student ...

New

Showing results 21-40

Internship Startup Data Engineer information

What does an internship startup data engineer do?

An Internship Startup Data Engineer assists in building and maintaining data pipelines and architectures that help startups collect, process, and analyze data. They often work closely with engineers and data scientists to ensure data is accessible and reliable for business needs. Responsibilities may include cleaning and transforming raw data, working with databases, and helping implement data solutions in cloud environments. Interns are expected to learn quickly, adapt to fast-paced changes, and contribute to projects that impact the startup’s growth.

What types of projects and responsibilities can I expect as an internship startup data engineer?

As an Internship Startup Data Engineer, you'll typically work on a variety of hands-on projects such as building data pipelines, cleaning and transforming raw data, and assisting with setting up databases or cloud data solutions. You may collaborate closely with software engineers, data scientists, and product managers to support analytics initiatives or improve data infrastructure. Startups often provide interns with opportunities to take ownership of smaller projects and contribute directly to core products, offering valuable exposure to the full lifecycle of data engineering tasks. Expect a fast-paced environment where adaptability and proactive learning are highly valued.

What are the key skills and qualifications needed to thrive as an internship startup data engineer, and why are they important?

To excel as an Internship Startup Data Engineer, you typically need a background in computer science, statistics, or a related field, along with foundational knowledge in data structures and algorithms. Familiarity with programming languages like Python or SQL, experience with data processing frameworks (such as Pandas or Spark), and version control tools like Git are commonly required. Strong problem-solving abilities, adaptability, and effective communication skills will help you stand out in a dynamic startup environment. These skills are essential for efficiently managing and analyzing data to support rapid product development and informed decision-making in a fast-paced setting.

What is the difference between Internship Startup Data Engineer vs Junior Data Analyst?

AspectInternship Startup Data EngineerJunior Data Analyst
Required CredentialsBasic programming, SQL, data managementStatistical knowledge, Excel, SQL
Work EnvironmentStartup, fast-paced, hands-on projectsCorporate or startup, data reporting and analysis
Employer & Industry UsageTech startups, data-driven companiesVarious industries, marketing, finance, retail
Search & Comparison IntentLearning, entry-level experience, internship opportunitiesData analysis skills, entry-level roles

Internship Startup Data Engineers focus on building data pipelines and managing data infrastructure, often requiring basic programming and SQL skills. Junior Data Analysts primarily analyze data, generate reports, and interpret results. Both roles are entry-level but differ in technical focus and daily tasks, with internships offering hands-on experience in startup environments and analyst roles emphasizing data interpretation.

What are the most commonly searched types of Startup Data Engineer jobs in Kansas?

The most popular types of Startup Data Engineer jobs in Kansas are:

Research Engineer / Robotics / ML

Motion Recruitment Partners, LLC

Lenexa, KS • On-site

Other

Posted 19 days ago


Job description

A robotics and AI team in Kansas is looking for a Research Engineer to help build the systems that power real world machine learning. This is a full-time role where you will be working across robotics, computer vision, and applied ML, using tools like ROS/ROS2, Python, C++, and PyTorch/TensorFlow.
Robots are out in the real-world collecting data, and your job is to help make sure that data is usable, structured, and feeding into machine learning models in the right way. If you are early in your career and want real exposure to robotics, ML and data systems all in one place, this is a rare setup.
Required Skills & Experience
  • 1-2 years of experience with robotics and machine learning (Internship experience acceptable)
  • Graduated with a bachelor's degree in Computer Science
  • Experience with ROS/ROS2 frameworks
  • Proficiency in Python and C++
  • Worked with ML models (PyTorch/TensorFlow/ sklearn)
  • Experience working with data pipelines or making raw data usable for AI systems
Desired Skills & Experience
  • Exposure to robotic manipulators or mobile robot systems
  • Experience with biometric/ identity verification systems
  • Familiarity with cloud platforms
What You Will Be Doing
Tech Breakdown
  • 40% Robotics Systems
  • 35% Machine Learning
  • 25% Data Engineering
Daily Responsibilities
  • 50% Hands On
  • 30% Team Collaboration
  • 20% Systems improvement

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.