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Data Platform Intern Jobs (NOW HIRING)

About the Role As a software engineering intern, you will work closely with leading experts in the ... Data Platform, Onboard Systems, ML Infrastructure, Simulation, or Technical Infrastructure teams.

We are looking for a Data Engineer Intern to support our analytics and data platform initiatives. In this role, you will help build and maintain data pipelines, improve data quality, and work closely ...

Data Platforms Engineer Summer 2027 Intern

Austin, TX ยท On-site

$16.50 - $21.50/hr

... intern to join our data platform and analytics team. Responsibilities include developing and ... maintaining data products to feed business intelligence tools, while collaborating with data and ...

New

We are looking for a Data Engineer Intern to support our analytics and data platform initiatives. In this role, you will help build and maintain data pipelines, improve data quality, and work closely ...

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with ... The Data Engineer Intern will be part of the Data Engineering Team. The Data Engineering team works ...

We're looking for a motivated and enthusiastic Data Engineer Intern to join our team. This is an ... Data Platform Enhancements: Improve the platform that enables analytics at Weave, including ...

The Intern will work closely with Data Engineering and Data Analytics teams to help ingest, process ... Work with large relational databases and data warehouse platforms (e.g. Google BigQuery, Snowflake ...

The Intern will work closely with Data Engineering and Data Analytics teams to help ingest, process ... Work with large relational databases and data warehouse platforms (e.g. Google BigQuery, Snowflake ...

The program will immerse the intern into a broad range of responsibilities, allowing you to execute ... platform concepts (20%). * Participate in a Data Governance rotation focused on data quality ...

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How much do data platform intern jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for data platform intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is a data platform intern?

Data Platform Interns are students or recent graduates who support the development, maintenance, and optimization of data platforms within an organization. They typically assist with tasks such as data integration, database management, and ensuring data quality under the supervision of experienced data engineers or platform teams. The role provides hands-on experience with data tools, cloud services, and programming languages commonly used in managing large datasets. Interns often gain exposure to real-world projects and contribute to the overall data infrastructure, preparing them for full-time roles in data engineering or analytics.

What types of projects and technologies can a data platform intern expect to work with during their internship?

As a Data Platform Intern, you will typically be involved in projects centered around data integration, storage, and processing. This often includes working with cloud-based data warehouses like AWS Redshift, Google BigQuery, or Azure Synapse, as well as tools for ETL (Extract, Transform, Load) such as Apache Airflow or Talend. You may assist in designing data pipelines, optimizing queries, and supporting data engineering teams with data quality or migration tasks. Interns often collaborate closely with data engineers, analysts, and sometimes software developers, gaining exposure to a wide range of technologies and best practices in data management.

What are the key skills and qualifications needed to thrive as a data platform intern, and why are they important?

To thrive as a Data Platform Intern, you need foundational knowledge in data management, SQL, and programming languages like Python or Java, often supported by coursework in computer science or related fields. Familiarity with cloud platforms (e.g., AWS, Azure), database systems (such as MySQL, PostgreSQL), and version control tools like Git is typically expected. Strong analytical thinking, attention to detail, and effective communication are valuable soft skills for collaborating on technical projects. These abilities are crucial for efficiently supporting data infrastructure, troubleshooting issues, and contributing to team-driven solutions.

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

AspectData Platform InternData Analyst Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fieldsUsually pursuing or recent graduate in Statistics, Data Science, or related fields
Work EnvironmentFocus on data infrastructure, database management, and platform developmentFocus on data analysis, reporting, and visualization
Employer & Industry UsageTech companies, data-driven organizations, cloud service providersBusiness, finance, marketing, and consulting firms

The Data Platform Intern role primarily involves working on data infrastructure, database management, and platform development, often requiring knowledge of cloud services and programming. In contrast, the Data Analyst Intern focuses on analyzing data sets, creating reports, and deriving insights for business decisions. Both roles are valuable in data-driven industries but serve different functions within an organization.

What cities are hiring for Data Platform Intern jobs?

Cities with the most Data Platform Intern job openings:

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

The most popular types of Data Platform jobs are:

What states have the most Data Platform Intern jobs?

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

What are popular job titles related to Data Platform Intern jobs?

For Data Platform Intern jobs, the most frequently searched job titles are:

Software Engineer, AI Platform - Intern

Mountain View, CA โ€ข On-site

Nuro
Motor Vehicle Manufacturingย โ€ขย 11 - 50 employees

Internship

Re-posted 21 days ago


Key responsibilities

  • Work on developing and maintaining data management systems for AI Driver's data, labels, and metrics.

  • Collaborate with teams to integrate and improve onboard systems for autonomous vehicles.

  • Assist in building and optimizing simulation frameworks to test autonomous driving technology.


Job description

Who We Are 

Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that's why we're building a universal autonomy platform: self-driving for all roads and all rides.
Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles.
With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected.
Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors.

About the Role

As a software engineering intern, you will work closely with leading experts in the field of machine learning, robotics, and software. Depending on your skill sets and areas of interest, you will work on some or all of the following: Data Platform, Onboard Systems, ML Infrastructure, Simulation, or Technical Infrastructure teams.

About the Work

Depending on your skill set and areas of interest you will work on some or all of the following:

  • Data Platform: The Data Platform serves as a comprehensive management system for Nuro AI Driver's data, labels, and metrics, facilitating seamless access functionality. The team focuses on data annotation across various domains, including 2D/3D perception, mapping, behavior trajectory, and language/text. It also handles data ingestion and mining, employing methods such as heuristics and embedding search. Additionally, the platform supports the autonomy evaluation infrastructure by providing detailed introspection. 
  • Onboard Systems: Our onboard system team's software engineers provide a reliable and high-performance platform that allows our autonomy teams to integrate their autonomy software and algorithms that work across various self-driving platforms. This work requires close collaboration with our software teams, hardware teams, and systems/safety team to make sure new software and hardware work together safely and reliably and resolve onboard error and performance problems.
  • ML Infrastructure: The ML Infra team is the accelerator to our ML-first autonomy strategy. This team provides solutions to empower machine learning development in Nuro and optimize on-cloud training and onboard inference. Our solutions include a distributed training platform, ML compiler, model components libraries, e.t.c. The team provides opportunities for infra engineers to work fully embedded in ML teams to build cutting edge deep learning technologies.
  • Simulation: The Simulation team builds the simulator that allows us to develop and test our autonomous driving technology in a virtual setting. We work on the core simulator and simulation frameworks, sensor simulation, scenario generation, and solutions that combine real-world data with synthetic techniques to push the boundaries of what can be simulated, collaborating closely with teams across Autonomy and AI Platform to allow us to simulate realistically and reliably at scale.
  • Technical Infrastructure: this group owns few fundamental services for entire engineering organizations: generic compute platform to host mission-critical workflows such as data processing and simulation, storage management service which manages hundreds of PB of data, cloud infrastructure serves as IaaC which provisions and maintains all cloud resources, engineering productivity provides tools such as build and CI/CD to make engineering work more efficient.

About You

You have deep expertise and prior experience in some or many of the following areas:

  • You are a current BS or MS candidate in Computer Science, Electrical Engineering, Robotics, or a related field graduating in December 2026 or later
  • You have experience in one or more of the following areas: backend API design, applications development, large-scale distributed systems; data storage and processing systems; advanced algorithms using C++ and Python; machine learning, multithreading; x86 architecture; and software performance tuning and optimization, robotics software frameworks, different compute modalities (CPU, GPU, FPGA) etc.
  • You have strong problem solving and programming skills.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.