Software Engineering Summer Internship (JavaScript + Python)
Arthena New York, NY, USA $60k – $80k Full Time Any
Internship
About Arthena

Arthena is a YC W‘17 company that quantitatively analyzes and prices art to create financial products for the art market. We’re passionate about using data to understand the drivers of the opaque, centuries-old art market. Our tight-knit team is comprised of engineers, data scientists, and fine art experts working together at the intersection of art, finance, and technology. We value intellectual curiosity, creative idea generation, and close collaboration.

Job Description

Our software engineers build tools and infrastructure to gather, analyze, and visualize art market data. Our current JavaScript stack is Node.js/Puppeteer for data ingestion and React/Apollo/GraphQL for data visualization. Our current Python stack is Numpy/Pandas/PeeWee/Sci-kit Learn. We primarily use Redis/Postgres/Google Cloud/Kubernetes for infrastructure. Arthena's internship program offers three-month internships during the Fall, Spring, and Summer.

Responsibilities

We’re looking for a Software Engineering Intern to:

  • Build and deploy data aggregation systems (e.g. web scrapers) 
  • Develop features for interactive user dashboards 
  • Build tools to accelerate data science processes and workflows in collaboration with the data science team (e.g. cleaning and merging data from many sources) 
  • Contribute to software architecture 
  • Update Arthena landing page as necessary

Requirements

Candidates should have most of the following:

  • Bachelor’s in a technical field or equivalent work experience (or be working towards one) 
  • Experience prototyping and deploying JavaScript web applications 
  • Familiarity with JavaScript web frameworks (e.g. React, Angular, Vue) 
  • Experience working on collaborative programming projects 
  • Experience with some of the following software engineering tools: git, - Docker, continuous integration, unit testing, linting 
  • Some Python data engineering or machine learning projects 
  • Experience working in professional environments 
  • Intrinsic motivation and the ability to learn quickly 
  • Strong communication skills and ability to work with a team 
  • Experience working at a start-up is a plus 
  • Art knowledge or industry experience is a plus 
  • Business/finance knowledge is a plus

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