Senior Data Engineer

Summary

Join Calendly's Engineering team and contribute to the evolution of our data platform as a Senior Data Engineer. Design and build batch and streaming data pipelines, ensuring high reliability and accuracy. Serve as a technical expert, mentoring engineers and driving architectural best practices. Work with a modern data stack (Apache Flink, Beam, Airflow, Kubernetes, Google Cloud Platform). Partner with various teams to understand their needs and deliver scalable data solutions. Help build a platform to support increasing data volume and complexity. Contribute to a culture of ownership and continuous improvement.

Requirements

• 2+ years of experience with streaming and messaging systems like Beam, Flink, Spark, Kafka, and/or Pub/Sub
• 5+ 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
• Expert in SQL, Python, and ideally Java
• Experience mentoring high-potential data engineers and contributing to team culture and best practices
• 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

Responsibilities

• Design and build net-new batch and streaming data pipelines that power analytics, product features, and customer-facing experiences as the company scales
• Serve as the technical expert on the centralized Data Platform team, mentoring engineers, driving architectural best practices, and raising the bar for code and design reviews
• Build for scale and reliability by ensuring robust monitoring, alerting, and self-healing systems—identifying issues before they affect users or the business
• Work hands-on with our modern data stack: Apache Flink, Beam, Airflow, Kubernetes, Google Cloud Storage (GCS), BigQuery, and Datadog
• Partner closely with data consumers across product, engineering, and analytics to understand evolving needs and deliver scalable, reusable data solutions
• Help lay the technical foundations for a platform that can support increasing data volume, complexity, and business use cases
• Contribute to a culture of ownership, quality, and continuous improvement, ensuring the Data Platform is a trusted, high-leverage layer for the company

Benefits

• Quarterly Corporate Bonus program (or Sales incentive)
• Equity awards
• Competitive benefits