Senior Data Engineer

🕒 il y a 2 jours

🇺🇸 États-Unis – Télétravail

💵 $117 000 - $146 000 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

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Origami Risk

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 2009

🏥 Santé

🏗️ Construction

📦 Logistique

💰 Private Equity Round en 2018-03

Healthcare • Construction • Logistics

Origami Risk est une plateforme logicielle complète qui simplifie et améliore les processus de gestion des risques et d'assurance. Elle propose des outils pour l'intégration des données, l'automatisation des flux de travail et facilite la collaboration dans divers secteurs tels que la santé, la fabrication et la construction. Origami Risk aide les organisations à améliorer leurs programmes de sécurité, l'administration des sinistres, la gestion des polices et la conformité aux exigences de gouvernance, en garantissant une approche sur mesure de la gestion des risques.

Description

• Design and implement scalable data-ingestion pipelines using AWS services and Azure DevOps • Build APIs and file upload mechanisms for client data ingestion • Develop data mapping and transformation workflows for SQL Server client databases • Contribute to a Databricks-based data Lakehouse architecture • Enable data flow from the SaaS platform to the analytical platform • Optimize ETL/ELT processes for performance and reliability • Collaborate with analytics teams to support reporting and machine learning use cases • Provide operational support for ingestion processes integrated into C# .NET code and UI • Troubleshoot and resolve data pipeline issues across environments • Work with Software Engineers, Architects, and Product teams to align data solutions with business needs • Implement data governance, security, and compliance best practices in a multi-tenant environment • Document architecture, workflows, and operational procedures

🎯 Exigences

• Bachelor’s degree in Computer Science, Information Technology, or a related field required • 7+ years in Data Engineering or a related role • Strong experience with AWS services for data engineering, including S3, Lambda, Glue, Step Functions, and API Gateway • Proficiency in Python and/or C# .NET for data processing and integration • Hands-on experience with SQL Server and relational database concepts • Familiarity with Databricks, Spark, and Lakehouse architectures • Knowledge of ETL/ELT design patterns and data modeling • Experience building APIs and file-based ingestion solutions • Strong problem-solving and analytical skills • Ability to work collaboratively in a cross-functional team • Excellent communication and documentation skills • Experience with CI/CD pipelines for data workflows preferred • Knowledge of data governance and security best practices in cloud environments preferred • Familiarity with modern data integration tools and frameworks preferred • Exposure to machine learning pipelines and real-time data processing preferred

🏖️ Avantages

• Bonus eligibility • Medical coverage • Dental coverage • Vision insurance • Wellness reimbursement • Life insurance • Short- and Long-Term Disability Insurance • 401(k) with company match up to 4% • Vacation and sick leave under a flexible time off policy in most states • Paid Time Off • 10 paid company holidays where available • Flexible PTO options • Generous family leave options, including adoption and foster care placements • Flexible Spending Account • Health Savings Account • Commuter Benefits • Dependent Care Savings Account • Employee Assistance Program (EAP) • Education Assistance Program for industry/role-specific certifications • Wellness Benefits reimbursement program • Pet Insurance • Critical Illness Insurance • Voluntary Life & AD&D coverage