Senior Backend Engineer - AI-Driven Automation & Data Pipelines

Partnerize

United States

Hybrid

USD 110,000 - 150,000

Full time

14 days+
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Job summary

Partnerize is expanding its R&D center and building AI-driven automation to power data and engineering platforms. The backend team designs scalable systems, data pipelines, and automation infrastructure using Node.js, TypeScript, and Python.

The role collaborates with global teams to advance automation-first workflows and data processing at scale. Join a fast-paced hybrid environment with strong engineering culture, focusing on reliability, testing, and innovative AI-enabled automation

Qualifications

  • 4–7 years backend development experience.
  • Strong experience with Node.js, TypeScript and Python.
  • Experience with SQL and large datasets.
  • Experience with MongoDB or other NoSQL databases.
  • Familiarity with data pipelines or distributed systems.
  • Experience with AI-enabled automation or agentic workflow systems.
  • Experience writing automated tests for backend services.

Responsibilities

  • Design and build backend services using Node.js and TypeScript.
  • Develop and maintain data pipelines and automated workflows.
  • Work with Snowflake, MongoDB, and large datasets.
  • Improve reliability and performance of data processing systems.
  • Build and maintain automation infrastructure that supports data and platform operations.
  • Write unit and integration tests for backend services and workflows.
  • Collaborate with analysts and product teams to translate complex workflows into scalable systems.
  • Drive the next generation of automation across the platform with AI-driven workflows.

Skills

Node.js
TypeScript
Python
SQL
MongoDB
Distributed systems
Automated tests

Tools

Snowflake
Workflow orchestration
External APIs
Automation tooling

Job description

Partnerize is expanding its R&D center and building AI-driven automation to power data and engineering platforms. The backend team designs scalable systems, data pipelines, and automation infrastructure using Node.js, TypeScript, and Python.

The role collaborates with global teams to advance automation-first workflows and data processing at scale. Join a fast-paced hybrid environment with strong engineering culture, focusing on reliability, testing, and innovative AI-enabled automation

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