Senior Data Engineer

🕒 il y a 6 mois

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Quanata

Site WebLinkedInTous les Emplois

201 - 500 employés

💼 Conseil

🏥 Santé

📣 Marketing

Consulting • Healthcare • Marketing

Quanata est une entreprise qui habilite les assureurs de demain avec des capacités de modélisation assistées par l'IA, des solutions de télématique en temps réel et des innovations en acquisition basée sur le risque, en se concentrant sur des solutions d'assurance contextuelle. Ils offrent une modélisation avancée des risques contextuels et comportementaux, des expériences numériques et des programmes de récompenses basés sur la télématique. Soutenue par le leader du secteur State Farm, Quanata utilise les talents et la technologie de la Silicon Valley pour stimuler l'innovation dans le secteur de l'assurance. Leur plateforme propose des solutions technologiques natives du cloud pour les assureurs, y compris des applications grand public axées sur la télématique. Basée à San Francisco, CA, Quanata vise à moderniser les processus de gestion des sinistres et à améliorer les capacités de souscription et de marketing pour les assureurs leaders du marché et les insurtechs innovantes.

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

🎯 Exigences

• 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)

🏖️ Avantages

• 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