Staff Data Engineer Enterprise Data Analytics

Unchain Data; New York (NY); Hybrid; USD 130,000 - 160,000; Full time

Job summary

Unchain Data is seeking a Staff Systems Engineer for Enterprise Data Analytics to lead the design and optimization of integrations across our tech ecosystem. Candidates should have over 8 years of software engineering experience, especially in cloud environments, and technical expertise in Python, AWS, and Terraform.

This role offers opportunities for mentorship and collaboration with key stakeholders in a dynamic environment. If you are a strategic thinker with strong problem-solving skills, we want to hear from you!

Qualifications

• 8+ years hands-on experience in software engineering, focusing on backend or distributed systems.
• Advanced proficiency in Python or Node.js.
• Expert-level AWS experience with Lambda, Step Functions, and CI/CD.

Responsibilities

• Architect and develop automated data pipelines using low-code tools.
• Mentor engineers and ensure best practices in software engineering.
• Collaborate with data scientists and stakeholders for integration solutions.

Skills

Python

Node.js

AWS

Terraform

Git

Collaboration

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Tools

AWS Lambda

Databricks

GitHub

Job description

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.

The Role

As a Staff Systems Engineer, Enterprise Data Analytics you lead the design, development and optimization of mission-critical integrations across our tech-ecosystem. You work across low-code platforms and custom cloud-native services, leveraging your deep software engineering background. 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 backbone.

Responsibilities

• Architect, develop, and maintain automated data pipelines using a combination of low-code tools and custom AWS solutions
• 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
• Design and implement robust, scalable integrations between Databricks and key enterprise business systems (Netsuite, Workday, SalesForce)
• Design and build integrations and automations using low-code/iPaaS platforms (such as Workato and Fivetran)

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience
• Minimum 8+ years of hands-on experience in software engineering, with expertise in backend or distributed systems in cloud environments
• Advanced proficiency in Python or Node.js
• Expert-level AWS experience: Lambda, Step Functions, S3, CloudWatch, VPCs, IAM
• Deep hands-on expertise with Terraform and modern DevOps practices, including CI/CD and infrastructure lifecycle automation
• Mastery of Git and modern source control workflows (Gitflow), using Github
• Strong communication, collaboration, and leadership skills with a history of mentorship and technical ownership

Technologies

• Python, Node.js
• AWS (Lambda, Step Functions, S3, CloudWatch, VPCs, IAM)
• Databricks, Airbyte
• Terraform
• Git, Github
• Salesforce, Netsuite, Workday, Marketo, Clari, Adaptive Windsurf