DEV Careers at Chainalysis

The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We’re a global organization with teams in the UK, Denmark, and the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to build a flexible platform that will allow us to adapt to those rapid changes.

As a Senior Data Engineer, Investments, you’ll be responsible for building and maintaining the data pipelines for our Market Intelligence product. You will be responsible for building an infrastructure of data intensive pipelines that runs with low latency, choose the technology that powers them, and collaborate closely with our data scientists within the team. You’ll write and maintain ELTs and their orchestration in order to produce meaningful and timely insights for our customers and their businesses. You will have the opportunity to lead the projects as senior engineer and help our customers to understand the market that they are in and help them to make better decisions for their business.

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

• You’ve worked with other engineering teams to understand their data lifecycle, the right integration points and developed the new iteration of our data engineering stack and data infrastructure.
• You’ve developed and handled scalable data pipelines and built out new integrations with internal and external data sources.
• You’ve maintained optimal data pipeline architecture, including looking for and proposing improvements to the existing architecture.
• Together with the rest of the team, you’ve created scalable, self-healing and robust data pipelines with low latency.

A background like this helps:

• You are excited about Data!
• Experience in greenfield data engineering projects, specifically in data infrastructure projects.
• Advanced knowledge of modern data pipeline architecture and the AWS ecosystem including Spark, Kafka, Airflow on Kubernetes.
• Experience performing root cause analysis on data logging and ingestion processes, identifying opportunities to improve instrumentation and observability
• Comfort with one or more: Python/Scala/Java
• Comfort writing SQL queries
• Comfort with infrastructure as code, terraform/terragrunt
• Curious about cryptocurrencies/decentralized-finance or a desire to learn - we can help!

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