Data Developer

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SafelyYou

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2015

🏥 Santé

🤖 Intelligence artificielle

☁️ SaaS

💰 €43 000 000 Series C - Safely You en 2025-01

Healthcare • Artificial Intelligence • SaaS

SafelyYou est une entreprise de technologie de santé qui utilise l'intelligence artificielle éprouvée et une expertise clinique pour améliorer la qualité des soins aux seniors dans divers établissements. Elle fournit une surveillance alimentée par l'IA, des analyses et un soutien clinique aux établissements de soins et aux aidants pour détecter les chutes et autres événements de sécurité, réduire les risques et permettre de meilleurs résultats ainsi qu'une tranquillité d'esprit pour les personnes âgées et leurs familles. SafelyYou offre principalement ses solutions aux organisations de soins via des canaux d'entreprise/B2B.

Description

• Build and maintain data repositories, pipelines, and transformations for customer-facing products, internal tools, and business analytics and operations. • Scale and enhance the company’s data architecture and reporting capabilities to support new products and services. • Work in an event-based architecture to ingest data events, store, organize, and generate reports for analysis. • Collaborate with other developers on the data team, and developers from multiple teams, to define, design, and implement scalable and reliable products and features that use data to improve health care outcomes. • Partner with product management, CSM, business operations, and executives to gather and analyze data to understand quality of care trends. • Ensure data quality and reliability by developing tests and validating results with ongoing monitoring. • Create and maintain technical documentation to help maintain and improve systems. • Work in an Agile environment to plan, track, and improve the delivery of new features and products. • Collaborate with customer support and operations teams to provide support and participate in on-call rotation as needed.

🎯 Exigences

• 3+ years of professional experience in software or data engineering working at a SaaS company, preferably in a startup environment • Experience building and maintaining data pipelines including ETL or ELT data flows • Experience with cloud query platforms such as AWS Athena and AWS RDS • Experience using Python and PySpark for data processing tasks • Familiarity with workflow orchestration concepts and tools, such as Airflow • Experience with data analytics and visualization technologies and tools, such as Looker • Ability to write efficient SQL queries and improve basic PySpark jobs with guidance • Experience contributing to data storage and pipeline solutions with guidance • Strong verbal and written communication skills with experience in cross-functional team collaboration. • Proactive about anticipating and addressing issues before they arise • Working-level proficiency with SQL and database concepts and tools • Working-level proficiency with data warehouse modeling techniques

🏖️ Avantages

• Fully remote • Competitive salary & benefits, including fully paid employee premiums for Medical, Dental, and Vision • 401k Program • Monthly Education, Well-being & WFH stipends • Non-accrual PTO • Growth Potential • Company Retreats • Medical & Family/Parental Leave