Senior Staff Data Engineer

Senior Staff Data Engineer

This job is no longer open

Job Description

Would you like to join our journey in building the next generation reporting, analytics and data platform? Our goal is to help 160,000+ global businesses truly understand customer interactions at depths never thought possible until now. Data is at the heart of Zendesk’s business! This is a great opportunity where you can have a huge impact across all products at the Zendesk. The Data Platform team is responsible for implementing a globally distributed system that uses innovative cloud technologies that span Google Cloud Platform and Amazon Web Services.

As a Senior Staff Data Engineer on Foundation Analytics, you will be responsible for building many key parts of the foundation data services platform. You’ll work in a collaborative Agile environment using the latest in engineering best practices with involvement in all aspects of the software development lifecycle. You will be responsible for ensuring the team makes sound design & configuration decisions to develop curated data products, applies standard architectural practices, and supports the Data Product Managers in evolving core data products. As a member of the data engineering team you will help Zendesk to deliver impactful reporting products for our customers.


What you’ll be doing

  • Be an SME (Subject Matter Expert) in the data domain! Drive data architecture and integration design and development discussions with engineering and other teams

  • Publishing well written and tested code to production daily using technologies such as Linux, Docker, Kubernetes, AWS, Kafka and Python

  • Build a platform that will be the foundation for our customer facing reporting features, our machine learning initiatives, and internal product analytics

  • Participate in rapid prototyping, designing, developing key features and functionality of our data platform

  • Continually improve the platform for high efficiency, throughput and quality of data. Investigate production issues and fine-tune for performance.

  • Develop standard methodologies and mentor engineers on the team to help make technical decisions on our projects and roadmap.


What you bring to the role


Basic Qualifications:

  • 10+ years of software development/data engineering experience with 6+ years of hands-on experience of building scalable data platforms and/or reliable data pipelines

  • Proficiency in at least one of the following programming languages: Java, Python, Scala

  • Experience with AWS or related cloud technologies

  • Experience in developing and operating high volume, high availability environments

  • Working understanding of Kubernetes’ infrastructure and security best practices

  • Ability to work effectively in a dynamic, occasionally interrupt driven environment that includes geographically spread teams and customers


Preferred Qualifications:

  • Experience writing ETL jobs to help address various data engineering challenges

  • Strong understanding of Build tools and Deployment tools

  • Familiarity with Kafka, Flink, Spark frameworks with validated understanding of at least one job scheduling tool: Airflow, Celery, AWS Step functions

  • BS degree in Engineering, CS, or equivalent

Tech Stack

  • Our data pipelines are written in Java and Python based software stacks

  • Open source technologies, including: Spark, Flink, Hudi, Airflow

  • Our software runs on AWS services like EMR and in Kubernetes, and integrates with AWS services S3, Athena, and Glue for data access

#LI-Remote

#LI-MAC

The US annualized base salary range for this position is $177,000.00-$265,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.

About Zendesk - Champions of Customer Service

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love. We advocate for digital first customer experiences—and we stick with it in our workplace. Over 6,000 employees worldwide have the flexibility to choose where they work. The fact is, we know great work happens anywhere. Whether you’re collaborating from your home office, a Zendesk workspace, or the kitchen table, you’re part of one team at Zendesk.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & 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 click here.

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.

This job is no longer open
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