Senior Data Engineer, Enterprise Data Analytics

Chainalysis • Washington, DC

1d

About The Position

Chainalysis’ Enterprise Data & Analytics team is responsible for generating insights from Chainalysis’ corporate functions and GTM functions. We do this by ingesting, storing and enabling consumption of trusted Account Journey data, metrics and insights across the B2B Enterprise Funnel. We design and implement the critical infrastructure that unifies data across business systems, empowering analytics, operational excellence, and advanced AI initiatives. Our mission is to deliver secure, scalable, and reliable data solutions that enable every part of Chainalysis to thrive in an ever-evolving technology landscape.
As a Senior Data Engineer, Enterprise Data Analytics - you work across low-code platforms and custom cloud-native services, leveraging your software engineering background and DevOps experience. This role requires strong problem solving skills, and the ability to partner with key stakeholders and drive strategic collaboration to shape the future of our enterprise data platform. You'll work across low-code platforms and custom cloud-native services.

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

Nice To Haves

• Hands-on experience with Databricks or Snowflake, especially in data warehousing, modeling, or pipeline optimization.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level