Page 5. Web3 Python Web3 jobs
| Job Title | Company Name | Salary | Location | Tags | Posted | |
|---|---|---|---|---|---|---|
| Token Metrics | $70k-100k/year | RemoteWeb3Developer | 5d | |||
| Token Metrics | $120k-200k/year | RemoteWeb3Developer | 4d | |||
| Token Metrics | $100k-150k/year | RemoteWeb3Developer | 4d | |||
| Token Metrics | $110k-140k/year | RemoteWeb3Developer | 4d | |||
| Binance | UAE, Dubai | Web3RemoteNon Tech | 3d | |||
| Binance | Taiwan, Taipei | Web3RemoteProduct Manager | 3d | |||
| Binance | $24-7/hour | Australia, Melbourne, New Zealand, Auckland | Web3DeveloperTrading | 2d | ||
Past and filled jobs: | ||||||
| Osmosis | RemoteWeb3DeveloperEngineering | |||||
| Magic Eden | United States | Web3RemoteDeveloper | ||||
| OP Labs | RemoteWeb3MarketingDeveloper | |||||
| OP Labs | RemoteWeb3DeveloperEngineering | |||||
| Fireblocks | Tel Aviv-Yafo, Tel Aviv District, Israel | Web3ResearchPython | ||||
Crypto Senior Backend Engineer (Colombia Remote)
at 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.
Token Metrics is seeking a multi-talented Back End Engineer to facilitate the operations of our Data Scientists and Engineering team. Back End 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 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.
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.
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