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.
In this role, you’ll:
- 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
We’re looking for candidates who have:
- 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
You might also have:
- Hands-on experience with Databricks or Snowflake, especially in data warehousing, modeling, or pipeline optimization.
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 diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can’t wait to meet you.
Compensation Range: $110K - $200K
