Manager, Data Engineering

Job not on LinkedIn

September 17

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⚓ Rhode Island – Remote

Although this job is listed in Rhode Island, this company may be open to hiring remote in other states.

💵 $315k - $380k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Quanata

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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.

201 - 500 employees

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• Lead, mentor, and grow a high-performing team of Data Engineers, fostering a culture of engineering excellence, innovation, and cross-functional collaboration • Drive the team's design and implementation of automated CI/CD/CT pipelines and ETL/ELT processes to accelerate the entire model lifecycle, from data validation and training to production deployment and monitoring • Establish Data Engineering best practices to ensure data accuracy, consistency, security, and adherence to governance frameworks • Monitor the performance of data systems and implement improvements to enhance efficiency and reduce latency • Partner with key stakeholders, data analysts and business leaders to define platform requirements, drive adoption, and ensure the DE team delivers measurable business value • Oversee the integration of security controls (DevSecOps) throughout the data engineering lifecycle, including data encryption, access management, and vulnerability scanning to protect sensitive data and meet industry standards

🎯 Requirements

• BS degree in Computer Science, engineering or related field or equivalent relevant experience • 6-8 years of professional experience in data management, software engineering, or DevOps engineering • Proven leadership experience with a track record of managing and developing technical teams • Excellent communication and stakeholder management skills • Deep, hands-on expertise with Infrastructure as Code (IaC) using Terraform • Container orchestration with Kubernetes and Docker in production environments • Extended experience working in cloud-native environment with strong preference toward AWS • Strong programming skills in Python • Solid understanding of the end-to-end machine learning lifecycle • Problem-Solving: Ability to resolve complex data architecture challenges and drive technical roadmaps

🏖️ 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 • Headspace app subscription • monthly wellness allowance • a 401(k) Plan with a company match • a one-time payment of $2K to cover the purchase of in-home office equipment and furniture • company-provided MacBook Pro delivered fully provisioned prior to your first day • All employees accrue four weeks of PTO in their first year of employment • New parents receive twelve weeks of fully paid parental leave which may be taken within one year after the birth and/or adoption of a child • Up to $5000 each year for professional learning, continuing education and career development • LinkedIn Learning subscriptions • Access to multiple different coaching opportunities through BetterUp