🛠 Tech Stack

💼 About This Role

You'll build infrastructure and data automation pipelines to ingest, process, and load data from various sources. Your expertise will impact projects aimed at enhancing data infrastructure and automating processes, ensuring timely data delivery across teams. Join us and contribute to meaningful data solutions that affect millions of users every day.

🎯 What You'll Do

• Build infrastructure and data automation pipelines for data ingestion and processing.
• Collaborate with stakeholders to develop data products aligned with organizational goals.
• Create unit and stress-test components to monitor technical performance.
• Develop data analysis tools to provide insights and capture key metrics.

📋 Requirements

• 7+ years of experience in data engineering within a production environment.
• Proven experience managing large datasets exceeding 100M+ records.
• 5+ years programming in Python.
• 5+ years with Spark/PySpark in big data ecosystems.

✨ Nice to Have

• Experience with AWS scalable distributed systems (2+ years).
• Experience with Airflow (2+ years).
• Experience with non-relational databases like DynamoDB, Elasticsearch (2+ years).

🎁 Benefits & Perks

• 💰 Bonus program and equity plans
• 🏥 100% medical/dental/vision coverage
• 🏖️ Unlimited PTO
• 📈 Merit-based salary increases annually
• 🏢 Great company culture promoting innovation and collaboration

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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