Senior Data Engineer - Data Cloud

Location Type: Remote Employment Type: FullTime

Position Overview

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 a Senior Data Engineer 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 building scalable platforms to enable next-gen real-time streaming data applications, establishing frameworks for data governance and data engineering best practices, deploying cloud infrastructure at scale, we want you to join our talented and growing team!

Responsibilities

• Design, develop, and optimize high-performance, scalable data platforms, with a strong focus on real time streaming data processing, large data volumes, and cloud infrastructure.
• 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.
• Deploy cloud infrastructure at scale, implement and maintain infrastructure automation and self-service, and create robust CI/CD pipelines.
• Establish and maintain observability, security, and data governance solutions to ensure high quality, efficiency, and reliability of data pipelines.
• Help define the technical vision of the team/org, articulate how our data platform and architecture could evolve.

Requirements

• 6+ years of experience as a Data Platform Engineer, Software Engineer, or Data Infrastructure Engineer, with hands-on expertise in building and maintaining cloud-based data platforms at large scale.
• Passion for leading/contributing towards the technical vision of the team/org, strong ownership of mission-critical systems, dedication to honing their craft while mentoring others.
• Expertise in building and maintaining streaming data pipelines using Apache Flink, as well as its underlying infrastructure and deployment.
• Solid experience with AWS services, a good understanding of cloud architecture, and proficiency with Terraform for provisioning and managing cloud infrastructure.
• Deep understanding of modern data lakehouse architectures and ecosystems such as Kafka, Flink, Spark, Databricks, Snowflake, DBT, Airflow, Debezium, Delta/Iceberg/Paimon, StarRocks, Trino, and proficient with Python/Java and SQL.
• Experience with networking and security concepts within AWS, including VPCs, subnets, routing, security groups, IAM, etc.

Nice to Have Experience

• Exposure to or interest in the cryptocurrency technology ecosystem.
• Experience working with different blockchain technologies is a plus.

Technologies We Use

• Data Lakehouse: Kafka, Flink, Spark, Databricks, DBT, Debezium
• AWS Services: MSK, EC2, VPC, IAM, S3, SQS, Managed Flink, EKS, etc.

About Chainalysis

Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence.

You belong here. At Chainalysis, we believe that dive