Data Engineer II - AI Agents - Remote Eligible

Data Engineer

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. You'll work at the intersection of product engineering, analytics, and AI—helping to create robust, reliable, and scalable data systems that support real-time and historical insights for our users.

You will collaborate closely with data scientists, analysts, backend and frontend engineers, and product managers to design data models, define integration patterns, and optimize data workflows. This role is ideal for someone who loves working with structured and unstructured data, thrives on solving complex data challenges, and wants to build the foundation for intelligent, customer-facing features.

Your work will directly shape how our customers access, interpret, and benefit from data-rich AI agents—enabling them to act with confidence and clarity.

What You Bring to the Role:

• 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.

A big plus if you:

• Have experience working with cloud-based data platforms (GCP or AWS preferred).
• Are familiar with Looker or other analytics/BI tools.
• Have worked with feature stores or supported ML workflows with production-ready data pipelines.
• Understand CI/CD best practices and infrastructure-as-code tools like Terraform.
• Are comfortable navigating large-scale distributed systems and production debugging.

How We Measure Success in This Role:

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

Our Tech Stack:

• Languages: Python, TypeScript, SQL
• Data Engineering: dbt, Airflow, BigQuery, Kafka, Pub/Sub, Astronomer
• Storage: BigQuery, MongoDB, Snowflake
• Infrastructure: GCP, AWS, Kubernetes, Terraform, ArgoCD
• Observability: Sentry, Datadog
• BI: Looker

Interview Process:

We aim to make our hiring process clear and transparent:

• Intro chat with Talent Partner – 30 minutes
• Interview with Hiring Manager – 45 minutes
• Take-home assignment
• Technical interview (task follow-up & role-related) with two engineers – 60 minutes
• Bar raiser interview with Hiring Manager and Senior Leadership – 45 minutes

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.

Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.

By submitting your application, you agree that Zendesk may collect your personal data for recruiting, global organization planning, and related purposes. Zendesk's Candidate Privacy Notice explains what personal information Zendesk may process, where Zendesk may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Zendesk's use of your personal information.

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.