Inspiren is seeking a Staff Data Engineer to own and evolve its data pipelines and infrastructure, driving innovation and delivering data-driven solutions for its data systems.
Requirements
- Fluency in building and maintaining ETL processes.
- Expertise in modern ETL technologies and building and 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.
- 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.
Responsibilities
- 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.
Other
- 8+ years of full stack or backend development experience
- Excellent verbal and written communication skills, with the ability to convey complex ideas clearly.
- 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.
