- Experience
- 5+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 1 hour ago
- Work mode
- Work from home
- Resume
- Required to apply
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Job description
About the Role
Zendesk is dedicated to enhancing Customer Experience globally by leveraging data and analytics to provide actionable insights to over 125,000 brands and internal teams developing next-generation CX products. The Analytics Prototyping (ZAP) team produces detailed, context-rich datasets powering customer-facing analytics applications and internal analytics needs, supporting product strategy and operational insights.
We are seeking an experienced Senior AI Data Engineer skilled in data engineering with a strong interest in applying AI tools pragmatically. The role involves working with code, dbt models, and datasets to build and refine data assets supporting Zendesk's customer reporting.
Key Responsibilities
- Develop, maintain, and optimize ELT pipelines to ensure reliable, scalable data availability for business analytics.
- Create efficient SQL-based data models using dbt and other ETL solutions.
- Drive adoption of AI-enabled workflows within the team to enhance productivity through emerging technologies.
- Identify bottlenecks and implement improvements in data delivery, processing speed, and system efficiency.
- Collaborate closely with team members to translate requirements into scalable data solutions.
- Contribute to the technical roadmap by proposing innovative enhancements to data systems.
Required Qualifications
- Minimum of 5 years' experience in data engineering involving building and managing complex data pipelines in big data environments.
- Advanced proficiency in SQL for data modeling and analysis.
- Hands-on expertise with dbt and familiarity with classical and modern data modeling methodologies such as Kimball and Inmon.
- Programming skills in Python or comparable languages, focusing on data transformation and workflow automation.
- Experience with cloud-based columnar databases like Google BigQuery, Amazon Redshift, or Snowflake, including query development.
- Proven ability in performance tuning, capacity planning, and cost optimization for large-scale cloud data systems to ensure scalability and operational efficiency.
- Strong communication and teamwork abilities.
Preferred Competencies
- Experience implementing AI-augmented engineering practices such as agentic IDE workflows, prompt engineering, evaluation design, and managing AI artifacts as production code.
- SnowPro Core certification or equivalent hands-on Snowflake experience.
- Practical knowledge of Apache Spark (Spark SQL, PySpark).
- Understanding of Lean/6 Sigma principles and customer relationship management (CRM) analytics.
Technical Environment
- ELT: Snowflake, dbt, Airflow, Kafka
- Business Intelligence: Zendesk proprietary analytics tool, Looker
- Infrastructure: AWS, Kubernetes, Terraform, GitHub Actions
Additional Information
Zendesk embraces a hybrid work model, blending remote flexibility with opportunities for in-person collaboration at office locations worldwide.
Applicants should be aware that AI or automated decision-making tools may be utilized in screening applications in compliance with company policies and legal standards.
Zendesk is committed to equal employment opportunities and fostering a diverse, equitable, and inclusive workplace environment. Employment decisions are made without regard to legally protected characteristics. Reasonable accommodations are available for applicants with disabilities upon request.
Level
Senior