Job Position | Company | Posted | Location | Salary | Tags |
---|---|---|---|---|---|
Horizon Blockchain Games | Toronto, Canada | $84k - $90k | |||
Shakepay | Toronto, Canada | $84k - $93k | |||
Whatnot | New York, NY, United States | $240k - $320k | |||
Chainalysis | New York, NY, United States | $90k - $100k | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Integra | Austin, TX, United States | $88k - $103k | |||
Notabene | London, United Kingdom | $72k - $85k | |||
Crypto.com | Hong Kong, Hong Kong | $98k - $103k | |||
Keyfactor | United States | $80k - $100k | |||
Brillio | Phoenix, AZ, United States | $130k - $140k | |||
Whatnot | San Francisco, CA, United States | $153k - $225k | |||
SafeGlobal | Zug, Switzerland | $84k - $104k | |||
Launchpadtechnologiesinc | Latam | $98k - $109k | |||
Bitmex | Remote | $94k - $150k | |||
Gemini | Remote | $269k - $336k | |||
Big Time | Remote | $72k - $75k |
Senior Platform and Data Engineer
What You’ll Do
- Ensure all teams are drawing data from a single source of truth.
- Work with our current systems in GCP, Clickhouse and dbt, and help evolve themEnsure data integrity, so that data from many sources are transformed into a useful format, and is correct.
- Automate as much of the data pipeline as possible.
- Quickly debug data discrepanciesScale our data capacity by 10x for the next 2-3 years.
- Implement data instrumentation and tooling in Go and Typescript so all engineers can meter products with client libraries.
- Design data backup and recovery protocols.
- Ensure the data can be easily digestible, and usable, using a BI tool like Looker or Superset within an acceptable period of time (realtime, daily, monthly, yearly).
- Help guide a small team of data engineers on roadmap, design, and implementation.
Skills & Experience
- 5+ years relevant industry experience as a platform or data engineer
- Advanced mastery of GolangStrong working knowledge of at least one data warehouse like Snowflake, Redshift, Clickhouse, etc.
- Ability to work cross-functionally well with other stakeholders and teams
- Strong programming skills, and not just a hacker
- Ability or high-willingness to quickly learn about blockchain technology, its data structures, schema, and ecosystem
- Excellent SQL skills and experience with ETL using tools such as dbt
- Experience with distributed log systems like Kafka, Spark, etc. a plus
- Expertise working with large software systems in one of the major cloud providers: AWS, Google Cloud, Azure
- Strong understanding of building fault-tolerant, scalable systemsExperience with blockchain data operationsInterest in web3
What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.