🛠 Tech Stack

💼 About This Role

You'll build data infrastructure and automation pipelines to ingest and process data from various sources. You'll collaborate with data science teams to develop data products that drive decision-making for millions of users.

🎯 What You'll Do

• Build data automation pipelines to ingest and process data
• Collaborate with stakeholders and data science teams on data products
• Create unit and stress tests to monitor technical performance
• Develop data analysis tools and maintain technical documentation

📋 Requirements

• 7+ years of data engineering experience in production
• 5+ years programming in Python
• 5+ years with Spark and big data ecosystems
• 2+ years with AWS scalable distributed systems

✨ Nice to Have

• PySpark experience
• Experience with Airflow or similar orchestration tools
• Experience with non-relational databases like DynamoDB or Elasticsearch

🎁 Benefits & Perks

• 💰 Bonus program and equity plans
• 🏥 100% medical/dental/vision coverage
• 🏖️ Unlimited PTO
• 📈 401(k) matching and annual merit increases

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 1 hour
3. 3On-site Interviews· 3-4 hours