Senior Software Engineer, Data Engineering

🕒 il y a 23 jours

🏄 California, New York, +1 états de plus – Distant

🏄 California – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $179 400 - $224 300 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

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Omada Health

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2011

🏥 Santé

⚕️ Assurance santé

🧘 Bien-être

💰 €192 000 000 Series E en 2022-02

Healthcare • Healthcare Insurance • Wellness

Omada Health est une entreprise de soins virtuels axée sur l'aide aux individus pour atteindre leurs objectifs de santé grâce à un accompagnement personnalisé et à des programmes sur mesure. La société offre des solutions complètes de gestion de la santé pour des conditions comme le diabète, l'hypertension et la santé musculo-squelettique. Omada propose un coaching santé individuel et des dispositifs intelligents pour surveiller et améliorer la santé, créant ainsi des plans de soins personnalisés pour ses utilisateurs. Ses programmes sont conçus pour être accessibles sans frais pour les participants lorsqu'ils sont couverts par leur employeur ou leur assurance santé, faisant d'Omada un leader dans la fourniture de soins virtuels de qualité, tant personnels que durables.

Description

• Data Architecture: Design, develop, and implement scalable, secure, and efficient data solutions that meet the needs of the organization. • Data Modeling: Create and maintain logical and physical data models to support business intelligence, analytics, and reporting requirements. • Pipeline Engineering: Design, build, and optimize ETL (Extract, Transform, Load) processes and data pipelines to ensure smooth and efficient data flow from various sources. • Data Integration: Integrate diverse data sources, including APIs, databases, and third-party data, into a unified data platform. • Performance Optimization: Monitor and optimize the performance of data systems and pipelines to ensure low latency and high throughput. • Data Quality and Governance: Implement data quality checks, validation processes, and governance frameworks to ensure the accuracy and reliability of data. • Collaboration: Partner closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs. • Documentation: Maintain comprehensive documentation of data architectures, models, and pipelines for ongoing maintenance and knowledge sharing. • Training: You'll train and collaborate with teammates effectively in data engineering best practices. • Technical Influence/Leadership: Recommends policy changes and establishes department-wide procedures. Uses extensive experience and knowledge to resolve complex problems. • Monitor and manage production environment to deliver data within defined SLAs.

🎯 Exigences

• 5+ years of experience building, maintaining, and orchestrating scalable data pipelines. • 3+ years of experience as a data engineer developing or maintaining integration with software such as Airflow or any Python-based data pipeline codebase. • Experience applying a variety of integration patterns for different use cases. • Experience in backend software development to contribute to distributed computing development and data technologies, with broad experience across systems, contexts, and ideas. • Experience implementing data pipelines and improving the performance of ETL processes and related SQL queries. • Experience in data modeling for OLTP and OLAP applications • Experience with Cloud platforms such as Amazon AWS • Familiarity with workflow management tools (Airflow preferred) • Familiarity with cloud-based data warehouses (Amazon Redshift preferred) • Exceptional Problem solving and analytical skills • Experience working with sensitive data i.e. PHI / PII & security best practices • Familiarity with data governance practices and principles.

🏖️ Avantages

• Competitive salary with generous annual cash bonus • Equity grants • Remote first work from home culture • Flexible Time Off to help you rest, recharge, and connect with loved ones • Generous parental leave • Health, dental, and vision insurance (and above market employer contributions) • 401k retirement savings plan • Lifestyle Spending Account (LSA) • Mental Health Support Solutions • ...and more!