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Data Operations/Computer Science Intern

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Overview

Schedule
Full-time
Career level
Senior-level
Remote
On-site
Benefits
Paid Vacation

Job Description

Job Description:

Role Overview

Join Maxinsights Corporation as a Data Operations/Computer Science Intern and gain hands-on experience applying computer science, programming, and data analysis skills to real-world business and client projects.

In this role, you’ll work closely with our engineering, operations, and business development teams to build and maintain data workflows, process and analyze datasets, support technical projects, and develop tools that improve internal operations and client deliverables.

This is an ideal opportunity for a Computer Science, Data Science, Software Engineering, or related major looking to gain practical experience with programming, data processing, cloud technologies, and web development.

What You’ll Work On

  • Develop and maintain scripts and tools using Python or other programming languages to automate operational and data-related tasks.

  • Retrieve, process, transform, and validate data for internal analysis and client projects.

  • Work with engineering teams to prepare, render, and deliver data samples, analytics, and technical outputs.

  • Write and modify code to support data pipelines, automation, reporting, and internal workflows.

  • Assist with debugging and troubleshooting technical issues involving data, scripts, applications, and web-based tools.

  • Use SQL and databases to query, organize, and analyze structured data.

  • Support the development and maintenance of the company website, including implementing frontend or backend updates as needed.

  • Assist with cloud-based infrastructure and services, including AWS, Cloudflare, or similar platforms.

  • Research unfamiliar technologies, libraries, APIs, and development tools and apply them to assigned projects.

  • Collaborate with operations, business development, and engineering teams to translate business requirements into technical solutions.

  • Document scripts, processes, technical workflows, and project requirements to improve team efficiency.

  • Assist with other technical and operational projects as needed.

Who You Are

We’re looking for someone who enjoys solving technical problems, writing code, working with data, and learning new technologies. You don’t need to know everything—we’re looking for someone who can take a problem, research a solution, and build something that works.

Required Qualifications

  • Currently pursuing or recently completed a degree in Computer Science, Computer Engineering, Software Engineering, Data Science, Information Technology, or a related technical field.

  • Experience programming in at least one language, with Python strongly preferred.

  • Understanding of fundamental computer science concepts such as:

    • Data structures and algorithms

    • Variables, functions, loops, and conditionals

    • Object-oriented programming

    • Debugging and error handling

    • Basic software development practices

  • Familiarity with Git/version control and general software development workflows.

  • Ability to read, understand, modify, and troubleshoot existing code.

  • Strong analytical and problem-solving skills.

  • Ability to independently research unfamiliar technical concepts and learn new tools or technologies.

  • Strong written and verbal communication skills and the ability to work effectively with both technical and non-technical teams.

Strong Plus

  • Experience with SQL and relational databases.

  • Experience with AWS, Cloudflare, or other cloud platforms/services.

  • Experience with Python libraries such as:

    • Pandas

    • NumPy

    • Matplotlib

    • OpenCV

    • Scikit-learn

  • Experience working with APIs, JSON, REST services, or data pipelines.

  • Knowledge of web development, including HTML, CSS, JavaScript, or TypeScript.

  • Experience with frameworks such as React, Next.js, Node.js, or similar.

  • Familiarity with Linux/Unix environments and command-line tools.

  • Experience with data visualization, image processing, machine learning, or statistical analysis.

  • Personal, academic, or open-source projects demonstrating programming or technical problem-solving experience.

What You’ll Gain

  • Hands-on experience working with real-world datasets and production-oriented workflows.

  • Exposure to software development, data engineering, cloud technologies, and web development.

  • Experience collaborating directly with engineering and business teams.

  • Opportunities to build technical projects that can be added to your portfolio and resume.

  • Practical experience applying computer science concepts outside of the classroom.

Default Benefits:

  • Health insurance

  • Vision care

  • Dental coverage

  • 401(k)

  • Paid holidays

  • PTO (Paid Time Off)

  • Sick leave

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.

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FAQs About Data Operations/Computer Science Intern Jobs at Maxinsights

What is the work location for this position at Maxinsights?
This job at Maxinsights is located in Santa Clara, California, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Maxinsights?
Employer has not shared pay details for this role.
What employment applies to this position at Maxinsights?
Maxinsights lists this role as a Full-time position.
What experience level is required for this role at Maxinsights?
Maxinsights is looking for a candidate with "Senior-level" experience level.
What benefits are offered by Maxinsights for this role?
Maxinsights offers Paid Vacation for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Maxinsights?
You can apply for this role at Maxinsights either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.