| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Kronosresearch | Remote | $80k - $108k | |||
Bitgo | Remote | $160k - $200k | |||
Bitgo | Remote | $180k - $220k | |||
Bitgo | Remote | $154k - $180k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Bitgo | Remote | $154k - $180k | |||
NAVI Labs Inc | San Jose, CA, United States | $175k - $180k | |||
Limit Break | Tokyo, Japan | $90k - $100k | |||
Yo Labs | United States | $63k - $105k | |||
0g Labs | Remote | $90k - $150k | |||
Superstate | New York, NY, United States | $94k - $105k | |||
Tether | Bucharest, Romania | $84k - $117k | |||
Tether | ZH Zürich CH | $84k - $117k | |||
Tether | London, United Kingdom | $84k - $117k | |||
Tether | Barcelona, Spain | $84k - $117k | |||
Tether | Dubai, United Arab Emirates | $84k - $117k |
Job Description We are currently looking for a talented software engineer to join us as a Software Engineer to take over and improve upon our existing data pipelines. As a Software Engineer at Kronos, you will have the opportunity to learn about how data drives success in the heart of the quantitative trading industry. Successful candidates should have experience in constructing large-scale systems and data processing pipelines, utilizing both on-premise and cloud-based technologies. Responsibilities
Design, build, and maintain all domain-related data pipelines & data warehouses and optimize existing pipelines Develop solutions to easily import and integrate data from 3rd party data vendors and exchange private endpoints into our existing data inventory Deploy and manage the daily operation of our market data loggers and ensure data is stored efficiently and securely across cloud and on-premise solutions (S3/NAS/DFS) Work closely with the Infra team and quant researchers to understand data needs. Set up and maintain data pipelines that prepare raw market data for machine learning research and simulations Design and develop tools and interfaces that improve quality, integrity, and availability for all of our data
Requirements
Bachelor’s degree in Computer Science, Mathematics, Machine Learning, or a related field 3+ years of relevant industry experience Excellent problem-solving and analytical skills, with a focus on identifying and addressing complex data engineering challenges Strong experience in designing and developing scalable cloud-native software solutions, utilizing cloud technologies (e.g., AWS, Azure, GCP) for data storage, processing, and analytics Proven track record in constructing large-scale systems and data-processing pipelines Strong written and verbal communication skills English resume acceptable only
Nice to Have
Have expertise in data modeling and database design principles Have a solid foundation in programming languages such as C/C++/Go/Java/Python Strong knowledge of building and maintaining data pipelines