Senior Data Engineer, Enterprise Data Analytics

Chainalysis is a company that provides complete knowledge of blockchain technology. As a Senior Data Engineer in the Enterprise Data Analytics team, you will design and implement integrations, develop automated data pipelines, and collaborate with various stakeholders to enhance the enterprise data platform.

Responsibilities:

• Design and implement robust, scalable integrations between Databricks and key enterprise business systems (Netsuite, Workday, SalesForce)
• Translate business requirements into technical specifications and integration workflows
• Develop, and maintain automated data pipelines using a combination of low-code tools and custom AWS solutions (Lambda, Step Functions, S3, CloudWatch, VPCs, IAM)
• Own the provisioning and management of infrastructure for integrations by applying Infrastructure as Code principles with Terraform
• Mentor engineers and champion best practices in software engineering, source control (Gitflow), and DevOps workflows within Github repositories
• Collaborate closely with data scientists, product managers, and stakeholders to ensure integrations deliver transformative business value
• Proactively monitor, troubleshoot, and ensure reliability and observability of integration solutions across distributed systems

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience
• Minimum 6+ years of hands-on experience in software engineering
• Hands-on expertise with Terraform and modern DevOps practices, including CI/CD and infrastructure lifecycle automation
• Proficiency in Python or Node.js
• AWS experience: Lambda, Step Functions, S3, CloudWatch, VPCs, IAM
• Hands-on experience with Databricks, Snowflake or similar for data warehousing, modeling, or pipeline optimization
• Experience with modern source control workflows (Gitflow), using Github
• Hands-on experience with Databricks or Snowflake, especially in data warehousing, modeling, or pipeline optimization