Website Token Metrics is Hiring

Job Overview. Back End Engineer at Token Metrics


Requirements Elicitation

  • Collaborate with coworkers and clients to understand and clarify project requirements.
  • Design and create infrastructure enabling access and analysis of big data.
  • Revamp existing frameworks for optimal performance.
  • Rigorous testing of structures to ensure they meet functional requirements.
  • Build robust data pipelines from diverse sources (API, CSV, JSON).
  • Prepare raw data for manipulation by Data Scientists.
  • Implement proper data validation and reconciliation methodologies.
  • Ensure work is backed up and easily accessible to relevant team members.
  • Stay updated on industry standards and technological advancements.



  • Bachelor’s degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field.
  • Master’s degree is an added advantage.


  • 3+ years of development experience in Python, Java, or any programming language.
  • 3+ years of SQL & No-SQL experience (Snowflake Cloud DW & MongoDB experience is a plus).
  • 3+ years of experience with schema design and dimensional data modeling.

Technical Skills

  • Expert proficiency in SQL, NoSQL, Python, C++, Java, R.
  • Expertise in building Data Lake, Data Warehouse, or equivalents.
  • Expertise in AWS Cloud.

Analytical and Problem-Solving Skills

  • Excellent analytical and problem-solving abilities.

Work Approach

  • Ability to work independently and collaboratively.
  • Efficiently manage a pipeline of duties with minimal supervision.

About Token Metrics

Token Metrics assists crypto investors in constructing profitable portfolios through AI-based crypto indices, rankings, and price predictions. With a diverse clientele across 50+ countries, including retail investors, traders, and crypto fund managers, Token Metrics is at the forefront of providing valuable insights and predictions in the cryptocurrency market. As a Back End Engineer at Token Metrics, you’ll play a crucial role in supporting the Data Scientists and Engineering team, contributing to the creation and optimization of frameworks for efficient data analysis in the dynamic field of cryptocurrency.