🛠 Tech Stack

💼 About This Role

You'll build scalable data pipelines and infrastructure that power internal business analytics and customer-facing data products. Your work will empower data analysts to derive deeper strategic insights and enable developers to surface data insights directly to merchants. This role offers the chance to optimize processes using AI for enhanced productivity and data quality.

🎯 What You'll Do

• Build data pipeline, ELT and infrastructure solutions.
• Create automated monitoring, auditing and alerting processes.
• Design, develop, and optimize ETL processes from disparate sources.
• Redesign and optimize data processes using AI.

📋 Requirements

• 5+ years in a data engineering role.
• 3+ years designing dimensional data warehouse pipelines.
• Experience with Snowflake or similar data platforms.
• Expert proficiency in SQL and strong Python.

✨ Nice to Have

• Experience building customer-facing analytics applications.
• Hands-on experience with Kubernetes and Docker.
• Experience with orchestration engines like Airflow.

🎁 Benefits & Perks

• 🏖️ Flexible Time Off
• 💰 Retirement plan with employer contribution
• 👶 Paid Parental Leave
• 🩺 Medical, dental and vision plans
• 🏠 Monthly Remote and Merchant stipends

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min