🛠 Tech Stack

💼 About This Role

You'll own the data platform that powers Paynext payments and billing analytics, designing event pipelines and optimizing datasets. Your work will deliver reliable, low-latency data products that product, finance, risk, and operations teams depend on daily. You'll collaborate with top engineers in a remote-first environment with unlimited PTO and a company-provided MacBook.

🎯 What You'll Do

• Design event-driven real-time data pipelines using ClickHouse, Google Cloud, and Airflow.
• Optimize ClickHouse schemas, materialized views, and queries for performance.
• Model core financial datasets for payments and subscriptions.
• Own data quality and observability with tests, monitoring, and alerting.

📋 Requirements

• Production experience with ClickHouse is mandatory: data modeling, query tuning, partitioning.
• Strong experience with event-driven real-time analytics pipelines (Kafka, Pub/Sub, Kinesis).
• Hands-on with Google Cloud data stack (Pub/Sub, GCS, BigQuery, Cloud Run).
• Advanced SQL and strong Python for data engineering.

✨ Nice to Have

• Tinybird experience (pipes, endpoints, materializations).
• dbt, Dataflow, Beam, or Spark frameworks.
• Experience with risk/fraud or billing & payments analytics.

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 💻 Company-provided MacBook
• 🌍 Remote work environment
• 🎉 Paid national holidays
• 📝 Flexible independent contractor agreement

📨 Hiring Process

Estimated timeline: 1-2 weeks

1. 1Recruiter Screening· 40 min
2. 2Technical Interview· 60 min