The Senior Big Data Engineer Intern will support Data Scientists and Engineering through building data pipelines, optimizing data structures, and collaborating with coworkers to meet project needs.
Token Metrics is seeking a multi-talented Big Data Engineer Intern to facilitate the operations of our Data Scientists and Engineering team. The Senior Big Data Engineer will be responsible to employ various tools and techniques to construct frameworks that prepare information using SQL, Python, R, Java and C++. The Big Data Engineer Intern will be responsible for 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. During various aspects of this process, you should collaborate with coworkers to ensure that your approach meets the needs of each project.
It is unpaid Internship.
Responsibilities
- Liaising with coworkers and clients to elucidate the requirements for each task.
- 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.
- Implementing proper data validation and data reconciliation methodologies.
- 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.
Requirements
- Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field.
- A Master's degree in a relevant field is an added advantage.
- 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.
- Excellent analytical and problem-solving skills.
- A knack for independence and group work.
- Capacity to successfully manage a pipeline of duties with minimal supervision.
About Token Metrics
Token Metrics helps crypto investors build profitable portfolios using artificial intelligence-based crypto indices, rankings, and price predictions.
Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.
Top Skills
AWS
C++
Java
MongoDB
NoSQL
Python
R
Snowflake
SQL
Similar Jobs
.png)
Healthtech • Social Impact • Telehealth
Lead the development of an AI-powered platform for senior mental health, building systems for patient experience, and mentoring the engineering team.
Top Skills:
AIFull-Stack Development
Computer Vision • Digital Media • Kids + Family • Mobile • Software • Sports
As a Webflow Developer, you will create and maintain web experiences, optimize for SEO, manage site security and performance, and analyze data for improvements.
Top Skills:
CSSGa4HTMLJavaScriptSearch ConsoleSemrushWebflow
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
The Major Account Executive will drive revenue growth by developing relationships with enterprise customers, managing the sales process from prospecting to closing, and navigating complex sales strategies effectively.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
