Senior Data Engineer

🕒 January 15

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Quanata

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • Insurance • SaaS

Quanata is a company that empowers the insurers of tomorrow with AI-assisted modeling capabilities, real-time telematics solutions, and risk-based acquisition innovations, focusing on context-based insurance solutions. They provide advanced contextual and behavioral risk modeling, digital experiences, and telematics-driven rewards programs. Quanata is backed by industry leader State Farm and utilizes Silicon Valley talent and technology to drive innovation in the insurance sector. Their platform offers cloud-native technology solutions for insurers, including telematics-focused consumer-facing apps. Based in San Francisco, CA, Quanata aims to modernize claims processes and enhance underwriting and marketing capabilities for market-leading insurers and innovative insurtechs.

📋 Description

• Design and build robust data pipelines that integrate data from diverse sources to support risk evaluation and business intelligence • Build streaming data pipelines using Kafka and AWS services to enable real-time data processing and decision-making • Create and operate data services that make curated datasets accessible to internal teams and external partners through APIs and scheduled deliveries • Support data science workflows by building infrastructure that enables model training, feature engineering, and production inference • Implement data quality frameworks including validation, monitoring, and alerting to maintain trust in our data assets • Contribute to CI/CD pipelines and infrastructure-as-code practices to ensure reliable, repeatable deployments • Deliver highly reliable services by following engineering best practices and participating in an on-call rotation to support production systems • Contribute to the data warehouse by creating well-modeled datasets in Snowflake that empower analysts and data scientists • Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver solutions that drive value

🎯 Requirements

• Bachelor's degree or equivalent relevant experience • 6-8 years of industry experience in data engineering or software engineering with a focus on data systems • Strong proficiency in Python and SQL for data pipeline development and analysis • Experience with AWS data platforms (Glue, S3, Athena, Lambda, Step Functions) • Familiarity with Snowflake or similar cloud data platforms • Familiarity with streaming technologies such as Kafka or Kinesis • Experience with workflow orchestration tools (Airflow, Step Functions, or similar) • Proficiency in infrastructure-as-code tools like Terraform • Understanding of data modeling principles • Excellent written and verbal communication with a strong collaborative focus • Experience with CI/CD tailored for machine learning systems (e.g., automating model training, validation, and deployment)

🏖️ Benefits

• We provide a wide variety of health, wellness and other benefits.These include medical, dental, vision, life insurance and supplemental income plans for you and your dependents • A Headspace app subscription • Monthly wellness allowance • A 401(k) Plan with a company match • Given our virtual environment—a one-time payment of $2K will be provided to cover the purchase of in-home office equipment and furniture • All employees accrue four weeks of PTO in their first year of employment • New parents receive twelve weeks of fully paid parental leave • We’re committed to investing in and helping our people grow personally and professionally • All employees receive up to $5000 each year for professional learning, continuing education and career development • All team members also receive LinkedIn Learning subscriptions and access to multiple different coaching opportunities through BetterUp