Staff Software Engineer, Data

Software Engineers in the data platform and clustering teams strike a balance between forward-looking software engineering best practices, and data engineering infrastructure know-how. This team partners with data scientists, research and product teams, helping architect, create and maintain data pipelines. 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…

 
Architected and built scalable ETL/ELT pipelines for clustering


 
Automated on-boarding of data ingestion for clustering


 
Worked with our product teams to ensure accurate data is provided to our customers


 
Increased coverage of 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: 

 
Deep understanding of building data pipelines, lakes and streaming services


 
Work experience with AWS tools such as S3, Lambdas, and CDKs


 
Proven experience with running batch and streaming based ETL/ELT pipelines in production


 
Understanding of efficient data structures, algorithms and computational complexity


 
Planned, built, and owned production systems


 
Experience with Python, Java, and/or Typescript


 
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)


 
Knowledge of blockchain technologies and protocols