Data Engineer

Job Overview

Zendesk is seeking a Staff Data Engineer to join the Data Platform team. The team is responsible for implementing a globally distributed system that uses powerful cloud technologies spanning Amazon Web Services and Snowflake. Our goal is to help 170,000+ global businesses truly understand customer interactions at depths never thought possible until now. As a Senior Data Engineer on Foundation Analytics, you will build many key parts of the foundation data services platform including next‑generation reporting and analytics.

You’ll work closely with team members to craft, develop, and deliver reporting products for customers and high‑quality software projects on time. Data is at the heart of Zendesk’s business, and this autonomous role can have a huge impact across all of the Zendesk product family.

• Publish well‑written and tested code to production.
• Participate in designing and developing key features and functionality of our data platform.
• Investigate production issues and fine‑tune data pipelines.
• Continuously improve data pipelines for high efficiency, throughput, and data quality.
• Build a platform that will serve customer‑facing reporting features, machine‑learning initiatives, and internal product analytics.
• Collaborate with team members on researching and brainstorming different solutions for technical challenges.
• Solve sophisticated problems with passion and technical leadership, helping to discover solutions.
• Develop standard methodologies and mentor others to help make technical decisions on projects.

• 4+ years of software development/data engineering experience with 3+ years hands‑on experience building scalable data platforms or reliable data pipelines.
• Experience with Snowflake and DBT.
• Proficiency in at least one of Java, Python, Scala.
• Strong passion for designing scalable and fault‑tolerant software systems.
• Experience with AWS or related cloud technologies.
• Experience developing and operating high‑volume, high‑availability environments.
• Working understanding of Kubernetes infrastructure and security best practices.
• Ability to work optimally in a multifaceted, occasionally interrupt‑driven environment with geographically spread teams and customers.
• Strong data‑modeling skills.
• Proven track record with cloud and data related technologies.
• Additional qualifications:
  
  experience writing ETL jobs; familiarity with Kafka, Flink, Spark, and at least one job scheduling tool (Airflow, Celery, AWS Step Functions).

• Java and Python based software stacks.
• Open‑source technologies:
  Spark, Flink, Hudi, Airflow.
• AWS services: EMR, S3, Athena, Glue.
• Deployment on Kubernetes.

The Poland annualized base salary range for this position is zł‑zł. The actual compensation will be based on job‑related capabilities, applicable experience, and other relevant factors. This position may also be eligible for bonus, benefits, or related incentives that will be communicated at the offer stage.

This role is hybrid. The hybrid experience is designed at the team level to provide a rich on‑site experience with collaboration, learning, and celebration, while also offering flexibility to work remotely part of the week. You must attend our local office for part of the week. The specific in‑office schedule will be determined by the hiring manager.

Zendesk is an equal opportunity employer. We are proud of our ongoing efforts to foster global diversity, equity, and inclusion in the workplace. Individuals seeking employment and employees 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, disability, military or veteran status, or any other characteristic protected by applicable law.

We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please .

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  with your specific accommodation request.