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Design, develop, and maintain scalable data pipelines.

Design and maintain logical and physical data models for both OLTP and OLAP/EDW systems

Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.

At least 4 years of experience as a Data Engineer working with GCP cloud-based infrastructure & systems.

Lead the creation and optimization of existing data models through AI code generation on eventing, customer level, and process level data.

Design and deliver product data products on Databricks — owning ingestion, transformation, and serving layers across the medallion architecture (bronze/silver/gold) to produce certified datasets consumed across product, analytics

Collaborate with cross-functional teams to understand data requirements, identify potential data sources, and define data ingestion

Define data architecture and platform strategy, leading design across pipelines, warehouses, and data lakes

Build and own end-to-end data pipelines in Snowflake — from raw ingestion through transformation to serving layers for AI products

Design, develop, and maintain secure, scalable ETL/ELT pipelines processing structured and unstructured data from multiple sources

Knowledge of Azure cost drivers (AWS/GCP is a plus).- Ability to prioritize initiatives by ROI and business impact.- Strong problem-solving and execution in fast-paced environments.

Drive AI-First Development: Embed AI-assisted development tools (Cursor, Claude, GitHub Copilot) into your daily workflow to accelerate code generation, automate testing, and elevate delivery velocity.

Team Leadership & People Management: Lead, manage, and grow a distributed team of data engineers (across North America and India) who report directly to you.

Independently challenge model owners across lending, fraud, and AML: reproduce their results, set and defend the acceptance thresholds, and own the call on whether a model is sound.

Builds new AI products for Calendly’s customers, bringing new capabilities to life.

Define and execute the long-term strategy for Calendly’s data platform and ecosystem.

Drives business insights, strategic decision making, executive level and cross organizational business growth, and magical customer experiences for our end customers through impactful innovation.

Work with various ERP and IOT data sources to Build interactive and dynamic Power BI dashboards for data storytelling and stakeholder decision support

Collaborate closely with our engineering, analytics, data science, and product teams as we take our machine learning projects and infrastructure to the next level

4+ years of software development experience

The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.

The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.

The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.