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Staff Data Engineer Enterprise Data AnalyticsUnchain Data • New York, New York, United States
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Staff Data Engineer Enterprise Data Analytics

Unchain Data
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

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
#J-18808-Ljbffr
  • New York, New York, United States

Compétences linguistiques

  • English
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