Calendly needs a Staff Data Engineer to lead the next phase of their data platform evolution, ensuring high standards of reliability, accuracy, and observability across their data infrastructure.
Requirements
- 5+ years of experience with streaming and messaging systems like Beam, Flink, Spark, Kafka, and/or Pub/Sub
- 8+ years of experience with managing enterprise-grade cloud data warehouses (BigQuery, Snowflake, Databricks, etc) using change-data-capture strategies (e.g. systems like Debezium) that are open-source and self-managed
- Expertise in SQL, Python, and ideally Java
- Experience with Apache Flink, Beam, Airflow, Kubernetes, Google Cloud Storage (GCS), BigQuery, and Datadog
- Experience with building and maintaining both batch and streaming data pipelines
- Experience with designing scalable systems and mentoring other engineers
- Experience with Google Cloud Platform (e.g. BigQuery, Kubernetes, Dataflow, Pub/Sub, GCS, and more)
Responsibilities
- Designing and building net-new batch and streaming data pipelines that power analytics, product features, and customer-facing experiences as the company scales
- Building for scale and reliability by ensuring robust monitoring, alerting, and self-healing systems—identifying issues before they affect users or the business
- Working hands-on with our modern data stack: Apache Flink, Beam, Airflow, Kubernetes, Google Cloud Storage (GCS), BigQuery, and Datadog
- Partnering closely with data consumers across product, engineering, and analytics to understand evolving needs and deliver scalable, reusable data solutions
- Helping lay the technical foundations for a platform that can support increasing data volume, complexity, and business use cases
- Contributing to a culture of ownership, quality, and continuous improvement, ensuring the Data Platform is a trusted, high-leverage layer for the company
- Serving as the technical lead on the centralized Data Platform team, mentoring engineers, driving architectural best practices, and raising the bar for code and design reviews
Other
- Availability for participation in an on-call rotation, ensuring prompt and effective responses to business-critical alerts outside of regular working hours
- Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time
- Experience mentoring high-potential data engineers and contributing to team culture and best practices
