🛠 Tech Stack

💼 About This Role

You'll execute the development of new data integrations and maintain existing processes for the Portfolio Data Integration team at Addepar, a global data and AI platform. You'll add automation to distributed data pipelines using PySpark within a Databricks Data Lake to increase data ingestion throughput.

🎯 What You'll Do

• Build pipelines for financial data ingestion and enrichment
• Improve existing pipeline throughput and data accuracy
• Develop process controls and accurate metrics for quality
• Partner with Product and Engineering to design and test new features

📋 Requirements

• Professional data engineering or analysis experience
• Object-oriented programming with PySpark/Python
• SQL or relational database concepts
• Data modeling, visualization, and ETL pipelines

✨ Nice to Have

• Knowledge of financial concepts (stocks, bonds)
• Passion for FinTech and investment management

🎁 Benefits & Perks

• 🏥 Health insurance
• 🏖️ Flexible PTO
• 📈 Equity
• 🤝 Collaborative culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 45 min
3. 3Onsite Interview· 3 hours