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, Canada, 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.

We’re looking for Software Engineers to join our Data Cloud team. This group accelerates innovation & helps unlock new business lines, by empowering anyone at Chainalysis to quickly and reliably discover, access, analyze, and build on top of any and all data. You’ll be a key player in creating and optimizing our data platform and data processing systems. If you’re passionate about infrastructure automation, cloud services, and building scalable platforms to enable next-gen real-time streaming data applications, we want you to join our talented and growing team!

In this role, you’ll:

• Design, develop, and optimize high-performance, scalable data platforms, with a strong focus on streaming data processing, large data volumes, and cloud infrastructure
• Implement and maintain infrastructure automation and self-service using Terraform, ensuring reliable and repeatable environments for both development and production, and creating robust CI/CD pipelines
• Build seamless integrations between Data Cloud and various relational and noSQL OLTP databases
• Design and build frameworks and abstractions to accelerate the development of data pipelines while embedding data engineering best practices
• Establish and maintain observability, security, and data governance solutions to ensure high quality and reliability of data pipelines

We’re looking for candidates who have:

• 3+ years of experience as a Data Platform Engineer or Software Engineer or Infrastructure Engineer, with hands-on expertise in building and maintaining cloud-based data platforms
• Solid experience with AWS services, a good understanding of cloud architecture, and proficiency with Terraform for provisioning and managing cloud infrastructure
• Experience building streaming data pipelines using Apache Flink, Apache Kafka, Spark Structured Streaming, or similar technologies
• Knowledge of modern data lakehouse architectures and ecosystem such as Kafka, Flink, Spark, Databricks, Snowflake, DBT, Airflow, Debezium, Delta/Iceberg, and comfort with Python/Java and SQL