🛠 Tech Stack

💼 About This Role

You'll build data infrastructure and automation pipelines to process data from various sources, collaborating with stakeholders and data science teams to develop data products that drive decision-making. This role impacts millions of users daily through meaningful data solutions.

🎯 What You'll Do

• Build infrastructure and data automation pipelines for data ingestion and processing
• Collaborate with stakeholders to develop data products aligned with goals
• Create unit and stress-test components for technical performance monitoring
• Develop data analysis tools and maintain technical documentation

📋 Requirements

• 7+ years in data engineering with production environment
• 5+ years programming in Python
• 5+ years with Spark (PySpark preferred) and big data ecosystems
• 2+ years with AWS scalable distributed systems

✨ Nice to Have

• Experience with non-relational databases like DynamoDB or Elasticsearch
• Dataflow orchestration tools like Airflow
• Bachelor's degree in Computer Science or related field

🎁 Benefits & Perks

• 💰 Bonus program and equity plans
• 🏦 401(k) with company matching
• 🏥 100% medical/dental/vision coverage
• 🏖️ Unlimited PTO
• 📈 Merit-based salary increases annually

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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