Remote Job
Staff Software Engineer, Data
Chainalysis- Posted : one year ago
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
Skills
- java
- python
- aws
- cloud
- blockchain
