Staff Data Engineer

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified

As a Staff Data Engineer at Calendly, you will play a key role in leading the evolution of the company’s data platform. You’ll be responsible for building and maintaining both batch and streaming data pipelines, ensuring high standards of reliability, accuracy, and observability. You will report to the Data Platform Engineering Manager and will be a technical lead for the Data Platform team, partnering closely with Product and Engineering to design scalable systems and mentor other engineers. This role involves hands-on work with technologies like Apache Flink and Google Cloud Platform (BigQuery, Kubernetes, Dataflow, Pub/Sub, GCS, and more).

Responsibilities

• Designing and building new batch and streaming data pipelines to power analytics, product features, and customer-facing experiences.
• 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.
• Building for scale and reliability by ensuring robust monitoring, alerting, and self-healing systems.
• Working hands-on with the 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.
• Contributing to a culture of ownership, quality, and continuous improvement, ensuring the Data Platform is a trusted, high-leverage layer for the company.

Requirements

• Experience: 5+ years of experience with streaming and messaging systems like Beam, Flink, Spark, Kafka, and/or Pub/Sub.
• Experience: 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.
• Skills: Expertise in SQL, Python, and ideally Java.
• Experience: Experience mentoring high-potential data engineers and contributing to team culture and best practices.
• Availability: Availability for participation in an on-call rotation, ensuring prompt and effective responses to business-critical alerts outside of regular working hours.

Company Information

Calendly does not engage in immigration sponsorship. Applicants must be authorized to work lawfully in the United States of America.