🛠 Tech Stack

💼 About This Role

You'll design and build scalable ELT pipelines using Python and Airflow, own the data model in Snowflake with dbt, and architect a centralized semantic layer to power BI and AI initiatives. This role drives data quality and self-service analytics for a fintech company committed to fair credit access.

🎯 What You'll Do

• Develop and maintain scalable, idempotent ELT data pipelines
• Lead data transformation and modeling in Snowflake using dbt
• Architect and grow centralized semantic layer for business metrics
• Implement data validation, testing, and monitoring for data integrity

📋 Requirements

• 3+ years experience as Data Engineer or Analytics Engineer
• Strong proficiency in Python for data processing and orchestration
• Experience with dbt or equivalent for data modeling
• Experience with Snowflake or similar cloud data warehouse

✨ Nice to Have

• Experience with ELT platforms like Fivetran or Airbyte
• Familiarity with Kubernetes and containerized deployments
• Experience with event streaming platforms like Kafka

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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