Staff Data Engineer

12 hours ago

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Inspiren

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Healthcare Insurance • SaaS • Wellness

Inspiren is a comprehensive solution for managing and optimizing operations in senior living communities. The platform enhances resident care by providing decision-grade data analysis for care planning, staffing optimization, and resident safety. Inspiren uses advanced technology, such as AUGi, to enable proactive care, improve workflow efficiency, and align care plans with resident needs. The technology's capabilities include real-time alerts for incidents and early risk flagging, tracking resident interactions, and monitoring staff effectiveness, thus ensuring high-quality resident care and operational efficiency.

2 - 10 employees

⚕️ Healthcare Insurance

☁️ SaaS

🧘 Wellness

💰 $2.7M Venture Round on 2022-10

📋 Description

• Collaborate with engineering, data science, ML, and product analytics teams to develop data models and pipelines for customer-facing applications, research, reporting, and machine learning. • Develop, implement, and optimize ETL processes for ingesting, processing, and transforming large volumes of structured and unstructured data into our data ecosystem. • Optimize data models to support efficient data storage and retrieval processes for performance and scalability. • Evaluate and implement a variety of data storage solutions, including RDS, NoSQL, data lakes, and cloud storage services. • Work in close partnership with Platform Engineering to influence the direction and needs of the data platform.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, or a related engineering field. • 8+ years of full stack or backend development experience. • Fluency in building and maintaining ETL processes. • Outstanding analytical skills and the ability to address problems in real-world settings. • A demonstrated ability to work in a team, with excellent skills-sharing capabilities. • Expertise in modern ETL technologies and building/supporting data pipelines at scale. • Proven experience in evaluating and optimizing data architectures to increase performance, data discovery, and reduce cost. • Proven experience with cloud-based data engineering pipeline design at scale. AWS and Databricks experience are plusses. • Proven proficiency in one or more programming languages such as Python or Java, as well as SQL. • Well-versed in the development lifecycle and software engineering best practices.

🏖️ Benefits

• Health insurance • Dental insurance • Vision insurance • Flexible PTO