Remote Analyst Jobs in Web3

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Job Position Company Posted Location Salary Tags

Braintrust

San Francisco, CA, United States

RLTY

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$16k - $35k

Aradena: Battlegrounds

remote

$45k - $92k

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$40k - $92k

Gauntlet

New York, NY, United States

$32k - $64k

Palm NFT Studio

New York, NY, United States

$45k - $92k

ICEO - Venture Builder

Remote

$25k - $60k

Binance

Remote

Chainlink Labs

Remote

Akash Network

Remote

Careers at Paxful

remote

Hivemind Capital

remote

$105k - $111k

Symbiont

remote

Messari

remote

Braintrust

San Francisco, CA, United States

GCP Cloud System Administrator and Data Engineer Analyst [REMOTE]

Braintrust

This job is closed

  • JOB TYPE: Freelance, Contract Position (no agencies/C2C - see notes below)
  • LOCATION: Remote - Work from anywhere
  • HOURLY RANGE: Our client is looking to pay $70 – $90/hr
  • ESTIMATED DURATION: 20 hrs/wk - Long-term

THE OPPORTUNITY

Ideal Experience and Competencies/ Required Skills:

-Hands-on familiarity and expertise with the Google Cloud data environment: (resources, storage & tools), including, but not limited to BigQuery, Pub/Sub, Compute Engine, Cloud Functions, Cloud Storage, AI/ML stack, Terraform, etc.

-Excellent SQL competency

-Excellent written and oral communication skills

-Excellent organizational skills

-Excellent critical thinking skills

-Detail oriented

-Ability to learn rapidly about new technologies and method

Responsibilities:

-Administration and oversight of Princeton’s google cloud platform and ecosystem

-Function as our GCP administrator; maintain access, resources, and manage system.

-Coordinate with internal and offshore engineering and software development teams

-Support development project and team resources by deploying resources within GCP environments, administrate and promote changes (CI/CD), and oversee access and security.

-Administrator and manage data pipeline and scrapers request.

-Query databases and data models for ad-hoc request

-Database maintenance and monitoring, and creation of new databases and table structures

-Process, cleanse, and verify the integrity of structured / un-structured data used for analysis.

-Identifies rich data sources, joins them with other, potentially incomplete data sources, and cleans the resulting set

-Present information using data visualization techniques.

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