5 days ago
New York, NY, USAMid Level / Senior
Responsibilities
- Design and build reliable data pipelines and infrastructure for underwriting models and claims processing.
- Own data models end-to-end, ensuring data quality, freshness, and accessibility.
- Identify bottlenecks in data workflows and implement solutions to improve reliability and scalability.
- Build and maintain data warehouse architecture for analytical and operational use cases.
- Partner with teams to understand data needs and translate them into pipelines and models.
- Implement monitoring, alerting, and data quality checks.
- Contribute to data governance practices, including documentation and access controls.
Requirements
- 3-5 years of experience building and maintaining data pipelines in production environments.
- Strong proficiency with modern data stack tools like Snowflake, dbt, and Airflow.
- Experience with Python for data processing and pipeline development.
- Solid understanding of data modeling best practices.
- Familiarity with AWS data services and infrastructure-as-code.
- Demonstrated ownership mindset with a focus on clarifying requirements and driving work to completion.
- Track record of building reliable systems while balancing speed and caution.
Benefits
- Competitive salary, equity, and role trajectory.
- Comprehensive health benefits for you and your family.
- 401(k) plan with company match.
- Unlimited PTO.
- Paid parental leave.
Tech Stack
Categories
Data Engineering