Data Engineer II - AI Agents

[remotive]

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.


Role Description

We, at Zendesk, are on a mission to build the most advanced AI agents in CX, and the Insights team, part of AI Agents Advanced, is focused on one of the product’s most critical pillars: delivering intelligent analytics, contextual insights, and decision-support tools that empower users to take meaningful action. As a Data Engineer on this team, you’ll be central to designing and building the data pipelines, services, and infrastructure that power our product’s AI-driven insights.

• Work at the intersection of product engineering, analytics, and AI
• Create robust, reliable, and scalable data systems that support real-time and historical insights for users
• Collaborate closely with data scientists, analysts, backend and frontend engineers, and product managers
• Design data models, define integration patterns, and optimize data workflows
• Shape how customers access, interpret, and benefit from data-rich AI agents

Qualifications

• 3+ years of experience designing and implementing data pipelines and systems in a production environment
• Proficiency with SQL, DBT and at least one general-purpose programming language such as Python
• Experience with batch and stream processing frameworks (e.g., Apache Flink, Apache Spark, Apache Beam, or equivalent)
• Experience with orchestration tools (e.g., Apache Airflow)
• Familiarity with event-driven data architectures and messaging systems like Pub/Sub, Kafka, or similar
• Strong understanding of data modeling and database design, both relational and NoSQL
• Experience building and maintaining ETL/ELT workflows that are scalable, testable, and observable
• A product mindset — you care about the quality, usability, and impact of the data you work with
• Strong communication and collaboration skills — you enjoy solving problems with others and proactively share your expertise
• Curiosity, humility, and a drive for continuous learning — you seek feedback and growth, and help others do the same

Requirements

• Experience working with cloud-based data platforms (GCP or AWS preferred)
• Familiarity with Looker or other analytics/BI tools
• Experience with feature stores or supporting ML workflows with production-ready data pipelines
• Understanding of CI/CD best practices and infrastructure-as-code tools like Terraform
• Comfort navigating large-scale distributed systems and production debugging

Benefits

• Deliver clean, scalable, and reliable data solutions that enable product and AI teams to build on top of
• Write well-tested, well-documented code and continuously improve the performance and reliability of data systems
• Actively participate in architecture discussions and help define data standards, schemas, and contracts
• Collaborate closely across disciplines and contribute meaningfully to planning, reviews, and team goals
• Grow over time — increasing your technical scope, deepening your understanding of the product, and supporting others through knowledge sharing

Company Description

Zendesk builds software for better customer relationships. It empowers organizations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement. They give organizations the flexibility to move quickly, focus on innovation, and scale with their growth.

• More than 100,000 paid customer accounts in over 150 countries and territories use Zendesk products
• Based in San Francisco, Zendesk has operations in the United States, Europe, Asia, Australia, and South America

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