🛠 Tech Stack

💼 About This Role

You'll join Chime's Data Engineering team to build scalable data pipelines and architect data workflows for the fintech industry. You'll own data quality, governance, and self-serve insights using AI-based solutions.

🎯 What You'll Do

• Build, scale, and optimize ETL pipelines
• Design data schemas for 10x data growth
• Own data quality, governance, and security
• Develop scalable data architectures and models

📋 Requirements

• 5+ years transforming data into governed datasets
• 5+ years building production-quality data pipelines
• 5+ years writing SQL, Spark, AWS Glue, EMR, Airflow, Python
• 3+ years using MPP database like Snowflake or Redshift

✨ Nice to Have

• Partnership experience with Analytics and Data Science teams
• Understanding of key metrics for data pipelines
• Experience building visibility solutions for partner teams

🎁 Benefits & Perks

• 💰 Competitive salary plus bonus and equity
• 🏝️ Generous vacation and Chime Days
• 👶 Up to 24 weeks paid parental leave for birthing parents
• 👟 Annual wellness stipend
• 💼 401k match and great medical/dental/vision

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite Interviews· 4 hours

🚩 Heads Up

• Requires on-call rotation with incident response outside regular hours