
About the role
Overview
Token Metrics is seeking a Senior Big Data Engineer Intern to support the Data Scientists and Engineering team by constructing frameworks for data preparation using SQL, Python, R, Java, and C++. The role involves employing machine learning techniques for data analysis and collaborating with team members to meet project requirements.
Skills
Overview
Token Metrics is seeking a Senior Big Data Engineer Intern to support the Data Scientists and Engineering team by constructing frameworks for data preparation using SQL, Python, R, Java, and C++. The role involves employing machine learning techniques for data analysis and collaborating with team members to meet project requirements.
Salary
Competitive Salary
Location
Austin, United States
OnsiteDepartment
Data
Level
Entry-Level/Graduate
Skills
Overview
Token Metrics is seeking a Senior Big Data Engineer Intern to support the Data Scientists and Engineering team by constructing frameworks for data preparation using SQL, Python, R, Java, and C++. The role involves employing machine learning techniques for data analysis and collaborating with team members to meet project requirements.
Skills
Candidate requirements
These are the minimum requirements a candidate must meet to be considered for this role.
- Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field.
- 3+ years of Python, Java or any programming language development experience.
About Token Metrics
Token Metrics is a cryptocurrency investment research platform that’s driven by machine learning and artificial intelligence. The company was founded by Ian Balina in 2017 as he traded his way from $20,000 to more than $5 million, logging all his trades in a public-facing spreadsheet that drew more than a million unique visitors per month. Ian’s Moneyball-style approach to crypto investing now forms the basis of the Token Metrics platform, which now helps thousands of customers around the world profitably play the crypto markets.
Company score (5)
Most candidates are reviewed quickly