Data Developer

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SafelyYou

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

Gegründet 2015

🏥 Gesundheitswesen

🤖 Künstliche Intelligenz

☁️ SaaS

💰 €43.000.000 Series C - Safely You im 2025-01

Healthcare • Artificial Intelligence • SaaS

SafelyYou ist ein Unternehmen für Gesundheitstechnologie, das bewährte künstliche Intelligenz und klinische Expertise nutzt, um die Qualität der Betreuung älterer Menschen in verschiedenen Pflegeeinrichtungen zu verbessern. Es bietet KI-gesteuerte Überwachung, Analysen und klinische Unterstützung für Pflegeeinrichtungen und Betreuer, um Stürze und andere Sicherheitsereignisse zu erkennen, Risiken zu reduzieren und bessere Ergebnisse sowie ein beruhigendes Gefühl für ältere Menschen und ihre Familien zu ermöglichen. SafelyYou liefert seine Lösungen hauptsächlich über Enterprise/B2B-Kanäle an Pflegeorganisationen.

Beschreibung

• 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.

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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