Remote Software & Data Analytics Intern

Satta Labs, Inc.

United States

On-site

Part time

14 days+

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Benefits offered by this job

Mentorship from senior engineers
Flexible working hours
Academic credit availability

Job summary

Satta Labs, Inc. is offering a Software Engineering & Data Analytics Intern position tailored for students in the United States. The intern will work remotely and engage in meaningful projects with a focus on software development and data analytics. Candidates should be pursuing a B.S. in a relevant field and possess skills in Python and SQL. The internship offers mentorship from senior engineers, structured learning objectives, and the opportunity to earn academic credit based on hours completed. Ideal for motivated individuals looking to gain hands-on experience in a dynamic environment.

Qualifications

  • Currently pursuing a B.S. in Computer Science, Data Science, or related field.
  • Some experience with Python through coursework, personal projects, or internships.
  • Exposure to SQL and structured datasets.
  • Familiarity with Git or version control systems.
  • Ability to communicate technical work to non-technical audiences.

Responsibilities

  • Build and ship features on a mobile application using modern frameworks.
  • Write and review code with real pull requests and version control discipline.
  • Contribute to front-end development and iterate on UI/UX.
  • Write and optimize SQL queries for analysis and reporting.
  • Clean and validate raw datasets and assist in quality assurance checks.

Skills

Python
SQL
Data Visualization
Git
Written Communication

Education

B.S. in Computer Science or related field

Tools

Pandas
Plotly

Job description

Satta Labs, Inc. is offering a Software Engineering & Data Analytics Intern position tailored for students in the United States. The intern will work remotely and engage in meaningful projects with a focus on software development and data analytics. Candidates should be pursuing a B.S. in a relevant field and possess skills in Python and SQL. The internship offers mentorship from senior engineers, structured learning objectives, and the opportunity to earn academic credit based on hours completed. Ideal for motivated individuals looking to gain hands-on experience in a dynamic environment.
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