🛠 Tech Stack

💼 About This Role

You'll build data automation pipelines and optimize data infrastructure for a partner company. Your work will ensure timely data delivery across teams, impacting millions of users daily. You'll collaborate with data science teams in a dynamic environment.

🎯 What You'll Do

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

📋 Requirements

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

✨ Nice to Have

• Experience with dataflow orchestration tools like Airflow.
• Experience with non-relational databases (DynamoDB, Elasticsearch).

🎁 Benefits & Perks

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

📨 Hiring Process

Estimated timeline: 3-5 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical screening· 60 min
3. 3On-site interviews· 4 hours