About Inspiren
Inspiren offers the most complete and connected ecosystem in senior living. Founded by Michael Wang, a former Green Beret turned cardiothoracic nurse, Inspiren proves that compassionate care and technology can coexist - bringing peace of mind to residents, families, and staff.
Our integrated solutions seamlessly fit into existing workflows, capturing everything happening within a community. Backed by nurse specialists and powerful analytics, we provide the data operators need to make informed clinical and operational decisions - driving efficiency, profitability, and better care outcomes.
About the Role
We are seeking a highly skilled Staff Data Engineer to own and evolve our data pipelines and infrastructure. You will drive innovation, ensure the integration of cutting-edge technologies, and deliver data-driven solutions that meet the highest standards of quality and performance of Inspiren’s data systems for external and internal consumers.
What You'll Own
- 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.
What You Bring
- 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.
- Experience: 8+ years of full stack or backend development experience
- Data Pipelines: Expertise in modern ETL technologies and building and supporting data pipelines at scale
- Data Modeling and architecture: Proven experience in evaluating and optimizing data architectures to increase performance, data discovery, and reduce cost.
- Infrastructure: Proven experience with cloud-based data engineering pipeline design at scale. AWS and Databricks experience are plusses.
- AI Adoption: You actively use AI coding tools (Cursor, Claude Code) as a core part of how you work. Your AI usage goes well beyond basic prompting and into automating tasks, long-running processes, and complex integrations.
- Programming Proficiency: Proven proficiency in one or more programming languages such as Python or Java, as well as SQL.
- Development Processes: Well-versed in the development lifecycle and software engineering best practices.
- Communication: Excellent verbal and written communication skills, with the ability to convey complex ideas clearly.
- Adaptability: Comfortable working in a fast-paced, dynamic environment and adapting to changing priorities.
- Start-up experience is a plus.
- Health-tech experience is a plus.
Details
- The annual salary for this role is $200,000-$225,000 + equity + benefits (including medical, dental, and vision)
- Flexible PTO
- Location: Remote, US or Canada.
- Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
