R&D Data Engineering Intern - Remote (Pipelines & OSINT)

Inca Digital Federal LLC; United States; On-site; USD 60,933 - 72,986; Full time

Job summary

A digital asset intelligence company is seeking an R&D Data Engineering Intern for a summer position. The role involves collaborating with a team to develop and maintain services, optimize data ingestion pipelines, and conduct research. The ideal candidate should have proficiency in Python and experience with Git workflows, as well as a strong interest in blockchain technology. This is a remote position based in the United States, offering flexible timelines and a $6,000 compensation for a 10-week term.

Qualifications

• Proficiency in relevant programming languages such as Python, Go, and SQL.
• Experience with collaborative development tools like GitHub.
• Familiarity with containerized environments and cloud computing.

Responsibilities

• Report to an R&D Data Engineer for task prioritization.
• Contribute to the development and maintenance of services.
• Document and present technical questions and solutions.

Skills

Proficiency in Python

Experience with Git workflows

Familiarity with CI/CD pipelines

Experience with Docker and Kubernetes

Understanding of algorithm complexity

Hands-on experience with relational databases

Experience with data acquisition from various sources

Familiarity with web scraping tools

Experience building ETL/ELT data pipelines

Demonstrated interest in blockchain technology

Education

Currently enrolled in a Computer Science or related program

Tools

Docker

GitHub

AWS

Job description

A digital asset intelligence company is seeking an R&D Data Engineering Intern for a summer position. The role involves collaborating with a team to develop and maintain services, optimize data ingestion pipelines, and conduct research. The ideal candidate should have proficiency in Python and experience with Git workflows, as well as a strong interest in blockchain technology. This is a remote position based in the United States, offering flexible timelines and a $6,000 compensation for a 10-week term.