Blockchain Jobs in North America

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Job Position Company Posted Location Salary Tags

Chainalysis

Toronto, Canada

$112k - $183k

OKX

San Jose, CA, United States

$166k - $353k

Enjin

Los Angeles, CA, United States

$98k - $180k

PolySign & Standard Custody

Canada

$105k - $125k

Fireblocks

New York, NY, United States

$33k - $75k

Fireblocks

New York, NY, United States

$79k - $104k

Aptos

Palo Alto, CA, United States

$160k - $260k

Circle

Los Angeles, CA, United States

$185k - $260k

Foundry

New York, NY, United States

$76k - $81k

TRLab

New York, NY, United States

$77k - $110k

3MetaD

San Jose, CA, United States

$98k - $108k

RampRate - Impact-Focused Organizations, Blockchain Solutions & Decentralized Governance

Santa Monica, CA, United States

$45k - $75k

DApp360 Workforce

San Francisco, CA, United States

$72k - $75k

Solar Mason

United States

$91k - $150k

Caiz

Turkey, NC, United States

$72k - $100k

Senior Software Engineer

Chainalysis
$112k - $183k estimated
ON Toronto, Ontario, Canada
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Software Engineers in the data platform and clustering teams strike a balance between forward-looking software engineering best practices, data science and data engineering. This team partners with data scientists, research and product teams, helping architect, create and maintain data pipelines for clustering based on heuristics and other data intelligence methods. Software Engineers in the data platform and Clustering teams have a deep understanding of blockchain data, are experts at understanding protocol schemas and nuances, build scalable AWS ingest pipelines, lambdas and services. We measure success by the coverage of data clustered for the various Chainalysis products.

In one year you’ll know you were successful if…

  • Built scalable ETL/ELT pipelines for clustering
  • Created heuristics for Bitcoin and UTXO clustering
  • Worked with our product teams to ensure accurate data is provided to our customers
  • Increased coverage of Bitcoin and other UTXO clustering
  • Contributed to the effectiveness and velocity of team deliverables
  • You have learned new technologies and shown that you are not afraid to work outside your comfort zone

A background like this helps:

  • Solid understanding of building data pipelines, lakes and streaming services
  • Some work experience with AWS tools such as S3, Lambdas, and CDKs
  • Experience creating deterministic algorithms and business logic for large-scale data systems
  • Understanding of efficient data structures, algorithms and computational complexity
  • Planned, built, and owned production systems
  • Experience with Java, and/or other object-oriented programming languages
  • The versatility and willingness to learn new technologies on the job
  • The ability to clearly communicate complex results to technical and non-technical audiences
  • Bias for action

The following would differentiate you:

  • Experience with cloud environments (AWS, GCP, etc)

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