Staff Data Engineer, Enterprise Data Analytics

TL;DR

Staff Data Engineer (Enterprise Data Analytics): Leading the design, development, and optimization of mission-critical integrations across the tech-ecosystem with an accent on strong problem-solving skills and strategic collaboration. Focus on architecting data pipelines using low-code tools and custom AWS solutions, ensuring reliability and observability across distributed systems.

Location: Hybrid, New York, New York Office

Salary: $110K – $200K

Company

hirify.global provides complete knowledge of what’s happening on blockchains through data, services, and solutions.

What you will do

• 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.
• Design and implement robust, scalable integrations between Databricks and key enterprise business systems (Netsuite, Workday, SalesForce).

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.

Culture & Benefits

• Offers Equity.
• Offers Bonus.
• Committed to ensuring our team reflects the unique communities around us.
• We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more.