Software Engineer, Data Cloud

🕒 February 26

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Chainalysis Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🔌 API

💳 Fintech

🔒 Cybersecurity

💰 $170M Series F on 2022-05

API • Fintech • Cybersecurity

Chainalysis is the leading blockchain data platform that provides blockchain intelligence solutions for various sectors, including law enforcement, regulators, financial institutions, and centralized exchanges. The company helps organizations tackle crypto challenges, ensure compliance with regulations, and mitigate risks associated with cryptocurrency transactions through its innovative solutions and insights. With an R&D hub known as Chainalysis Labs, the company is dedicated to advancing blockchain intelligence and supporting a safer digital economy.

📋 Description

• 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

🎯 Requirements

• 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 • Experience with networking and security concepts within AWS, including VPCs, subnets, routing, security groups, IAM, etc.

🏖️ Benefits

• You belong here. • Committed to ensuring our team reflects unique communities. • Continually revisit and reevaluate diversity culture.