🛠 Tech Stack

💼 About This Role

You'll build and operate data infrastructure powering analytics, product insights, and downstream systems. You'll work with analytics, product, and engineering teams to ensure reliable, production-ready data at scale. This high-ownership role offers autonomy and impact.

🎯 What You'll Do

• Design and maintain scalable data pipelines (batch and streaming)
• Ingest data from APIs, databases, event streams, and third-party services
• Design and manage data models and storage layers
• Implement monitoring, logging, and alerting for pipeline reliability

📋 Requirements

• 3+ years experience as a Data Engineer or similar role
• Strong programming skills in Python and/or TypeScript
• Solid SQL proficiency
• Hands-on experience with data warehouses (e.g., BigQuery, Snowflake)

✨ Nice to Have

• Experience with cloud platforms (especially GCP)
• Exposure to streaming systems (Kafka, Pub/Sub)
• Familiarity with dbt and analytics engineering

🎁 Benefits & Perks

• 🏖️ Remote work
• 📈 Strong growth opportunities
• 🏆 High-impact, business-critical projects
• 🤝 High-ownership culture with autonomy
• 💰 Competitive compensation

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min