Semi-Senior SaaS Integration Engineer

Summary

Join our team as a Sr. Data and Insight Engineer and lead the development of data pipelines between Zendesk and Salesforce. You will build scalable, reliable ingestion paths using AWS Glue and Lambda, ensuring seamless data flow. Collaborate with data architects and product teams to align integrations with business needs. Your responsibilities include developing and maintaining AWS Glue jobs, creating schema mapping rules, designing workflows for data sync, contributing to long-term architecture, and writing unit tests. This role requires a Bachelor's degree in a related field, 5+ years of experience in data or integration engineering, hands-on experience with Salesforce and Zendesk, and familiarity with SaaS APIs. Advanced English is required.

Requirements

• Bachelor's Degree in Computer Science, Engineering, or a related field
• 5+ Years of experience working in Data or Integration Engineering, preferably with SaaS platforms
• Hands-on experience with Salesforce
• Hands-on experience with Zendesk
• Familiarity with SaaS APIs (REST/GraphQL) – writing syncs from Zendesk, Salesforce, etc
• Experience working with Salesforce Campaigns, Contacts, Case Objects – Salesforce object knowledge for attribution and CX analytics use cases
• Proven experience setting up AWS Glue-based integrations
• Strong background in data engineering, especially in transformation and integration workflows
• Ability to work with both near-real-time and batch data processing
• Experience implementing logging, alerting, and error handling with retry mechanisms
• Advanced English Level is required for this role, as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons

Responsibilities

• Develop and maintain AWS Glue jobs with embedded data quality monitoring and validation layers
• Create schema mapping rules and ingestion validation logic to ensure data consistency across platforms
• Design workflows for sync frequency (e.g., real-time or scheduled), logging, alerting, and error handling with retry mechanisms
• Contribute to long-term architecture, integration roadmaps, and documentation for maintainability
• Write unit tests and debug integration workflows to ensure reliability in production