π New York, NY (Hybrid)π°$217k - $255kπ
Data ScientistHybridOnsiteRemotepython+5
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The first crypto data job board
Web3 Data Jobs
Search 467+ data roles from top blockchain companies
Verified median salaries: Data Analyst $126k Β· Data Engineer $196k Β· Data Scientist $203.5k Β· See full salary data
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π Oslo, Norway, Dominican Republic, New York, NY, USA, San Antonio la Isla, State of Mexico, Mexicoπ°Competitiveπ
Data EngineerRemotemulti-chaingokotlin+4
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π Remote / New York, NYπ°Competitiveπ
Data AnalystHybridOnsiteRemotesql+5
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π Buenos Aires, Argentinaπ°Competitiveπ
Crypto Compliance AnalystOnsitemulti-chainchainalysisllm+3
View JobFrequently Asked Questions
Verified median salaries from current postings: Data Analyst $126k, Data Engineer $196k, Data Scientist $203.5k. These are USD medians derived from employers' own stated salary ranges, not estimates. See the full breakdown on our salary page.
The board is updated daily. Use the filters to see current openings.
SQL and Python recur across listings; dbt and Airflow are common in data engineering roles.
As of August 2026, 57% of roles on the board are marked remote. This figure is refreshed quarterly. Use the filters to view current opportunities.
The percentage was calculated as the share of eligible roles marked remote in the August 2026 board snapshot; expired and ineligible postings were excluded.
The board runs a daily scrape at 6 AM UTC. New postings typically appear within 24 hours of going live at source. Jobs are automatically marked expired after 90 days if no longer active.
The board focuses on data-specific roles at blockchain and crypto companies, including data scientists, data engineers, data analysts, compliance and research analysts, and heads of data.
Not always. Most postings list SQL and Python as the primary requirements, with blockchain knowledge listed as a plus. Entry-level analyst roles in particular often prioritize data skills over crypto-specific experience. Building a Dune Analytics dashboard is a common way candidates demonstrate on-chain data fluency.
