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Senior Crypto Data Engineer Intern

Token Metrics

Salary not specified
Oct 15, 2025
Austin, TX, US
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Token Metrics is seeking a Senior Big Data Engineer to facilitate the operations of their Data Scientists and Engineering team by constructing frameworks for data preparation and analysis using various tools and techniques.

Requirements

  • 3+ years of Python, Java or any programming language development experience
  • 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
  • Expert proficiency in SQL, NoSQL, Python, C++, Java, R.
  • Expert with building Data Lake, Data Warehouse or suitable equivalent.
  • Expert in AWS Cloud.

Responsibilities

  • Employ various tools and techniques to construct frameworks that prepare information using SQL, Python, R, Java and C++.
  • Employing machine learning techniques to create and sustain structures that allow for the analysis of data while remaining familiar with dominant programming and deployment strategies in the field.
  • Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed.
  • Reformulating existing frameworks to optimize their functioning.
  • Testing such structures to ensure that they are fit for use.
  • Building a data pipeline from different data sources using different data types like API, CSV, JSON, etc.
  • Preparing raw data for manipulation by Data Scientists.

Other

  • Collaborate with coworkers to ensure that your approach meets the needs of each project.
  • Liaising with coworkers and clients to elucidate the requirements for each task.
  • Ensuring that your work remains backed up and readily accessible to relevant coworkers.
  • Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs.
  • Excellent analytical and problem-solving skills.
  • A knack for independence and group work.
  • Capacity to successfully manage a pipeline of duties with minimal supervision.