Senior Data Engineer

🕒 vor 6 Monaten

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Quanata

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201 - 500 Mitarbeiter

🤖 Künstliche Intelligenz

☁️ SaaS

Artificial Intelligence • Insurance • SaaS

Quanata ist ein Unternehmen, das die Versicherer von morgen mit KI-unterstützten Modellierungsfähigkeiten, Echtzeit-Telematiklösungen und innovationsgetriebenen, risikobasierten Akquisitionslösungen stärkt, mit einem Fokus auf kontextbasierten Versicherungslösungen. Sie bieten fortschrittliche kontextuelle und verhaltensbasierte Risikomodellierung, digitale Erlebnisse und telematikbasierte Belohnungsprogramme. Quanata wird von State Farm, einem Branchenführer, unterstützt und nutzt Talent und Technologie aus dem Silicon Valley, um Innovationen im Versicherungssektor voranzutreiben. Ihre Plattform bietet cloud-native Technologielösungen für Versicherer, einschließlich telematikzentrierter, verbraucherorientierter Apps. Mit Sitz in San Francisco, CA, zielt Quanata darauf ab, Schadensprozesse zu modernisieren und die Zeichnungs- und Marketingfähigkeiten für führende Marktversicherer und innovative Insurtechs zu verbessern.

Beschreibung

• 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

🎯 Anforderungen

• 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)

🏖️ Vorteile

• 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