Senior Data Engineer - Remote

Overview

As a Senior Data Engineer at Quanata, you will play a crucial role in delivering data science services and developing data pipelines that integrate diverse data sources to evaluate insured risk.

In Short

• Design and build robust data pipelines for risk evaluation and business intelligence.
• Build streaming data pipelines using Kafka and AWS for real-time processing.
• Create data services for internal teams and external partners.
• Support data science workflows with infrastructure for model training.
• Implement data quality frameworks for data asset trust.
• Contribute to CI/CD pipelines and infrastructure-as-code practices.
• Deliver reliable services and participate in on-call rotations.
• Create well-modeled datasets in Snowflake for analysts.
• Collaborate with stakeholders to deliver valuable solutions.

Requirements

• Bachelor's degree or equivalent experience.
• 6-8 years in data engineering or software engineering.
• Strong proficiency in Python and SQL.
• Experience with AWS data platforms.
• Familiarity with Snowflake or similar platforms.
• Familiarity with streaming technologies like Kafka.
• Experience with workflow orchestration tools.
• Proficiency in infrastructure-as-code tools.
• Understanding of data modeling principles.
• Excellent communication and collaboration skills.

Benefits

• Comprehensive health, wellness, and insurance benefits.
• One-time payment for home office equipment.
• Four weeks of PTO in the first year.
• Paid parental leave of twelve weeks.
• Up to $5000 for professional development annually.