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Designs real-time data pipelines and AI models that turn raw commerce events into structured intelligence for autonomous checkout optimization and agentic commerce decisions.
Build and own the analytics platform for an AI-powered SaaS product, designing Snowflake data flows, modeling data for reliability, and delivering insights via Power BI while mentoring engineers.
Architect and own the analytics/data platform for an AI-powered SaaS product, modeling data in Snowflake and delivering insights via Power BI while mentoring engineers.
Builds and maintains data pipelines and warehousing systems to power product analytics and insights at Zendesk.
Design and maintain high-scale data pipelines processing billions of ad events daily, modernize legacy systems into cloud-native lakehouse architectures, and ensure low-latency, privacy-compliant data delivery for monetization and decisioning.
Build and own the data platform for an AI-powered SaaS finance product, designing Snowflake pipelines, Power BI analytics, and AI-driven development workflows to deliver trusted insights for enterprise customers.
Staff Data Engineer builds and maintains the analytics data foundation at Zendesk, designing scalable pipelines and semantic layers to power product decisions and improve customer retention using modern tools like dbt, Snowflake, and Airflow.
Design and build scalable data pipelines and end-to-end data products for a healthcare company, ensuring robust data collection, modeling, and delivery.
Designs and owns the architecture of a large-scale AI-powered data extraction platform, ensuring high reliability and guiding engineering teams.
Staff Data Engineer builds and governs scalable data systems (Snowflake, Postgres, Kafka) to power TCGplayer’s marketplace, ensuring reliable, secure, and well-tested data flows across warehouse and application platforms.
Build and own Jane’s customer data infrastructure from the ground up, designing event pipelines, schemas, and identity resolution to power reliable analytics and marketing decisions across clinics and practitioners.
Leads data pipelines and platforms for payments, risk, and analytics using Iceberg, Kafka, Flink, Spark, and Airflow on AWS.
Lead data engineering initiatives to build scalable, trustworthy data pipelines and ML-enabled systems for payments, risk, and analytics at Stripe.
Designs and builds scalable data pipelines and lakehouse architectures on Azure/Databricks to power analytics and ML, using ELT/ETL, star/snowflake schemas, and streaming/event-driven patterns.
Lead Faire’s Core Data Infrastructure team to build data models and pipelines that inform product decisions, using SQL, Python/Java, and BI tools like Looker to drive insights for SMB-focused ecommerce growth.
Lead the design and build of large-scale data pipelines and platforms using PySpark, GCP, and Airflow to power analytics, AI features, and real-time measurement for a major retail and media company.
Build and own the real-time data pipelines and infrastructure that feed AI models for a biotech platform, integrating customer systems and ensuring clean, reliable data at scale.
Build and own Jane’s customer data infrastructure from the ground up: event pipelines, CDP tooling, identity resolution, and attribution systems that power marketing and product decisions across thousands of clinics.
Design and build scalable payment data models and cloud-native ELT pipelines for a fintech platform handling cards, ACH, wallets, and cash payments.
Design and maintain scalable ETL pipelines and data models in Python/SQL to feed analytics and ML systems for a travel-focused ad-tech platform.
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