Data Infrastructure Software Engineer

Job not on LinkedIn

🕒 April 1

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

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NextSense, Inc

WebsiteLinkedInAll Job Openings

11 - 50 employees

🧘 Wellness

Wearable Technology • Wellness • Healthcare

NextSense, Inc. is a company focused on developing brain-sensing earbuds designed to improve sleep and focus. Their clinical-grade technology combines decades of neuroscience with advanced computing to deliver real-time neural insights directly from the user's ear. NextSense aims to democratize access to neural insights by providing a consumer-friendly solution that enhances sleep and brain health. The company's earbuds are used not only for passive sleep tracking but also to create audio experiences that promote quality sleep. These wearable devices also monitor daytime neural activity to improve mental vigilance and overall energy levels. The innovative platform supports a wide range of applications, including stroke, seizure, and concussion, through novel state-based applications. NextSense operates with an API-driven approach, facilitating the integration of multiple use cases for performance improvement and therapeutic needs.

📋 Description

• Understand the data needs of different engineering teams at NextSense, including HWE, Clinical and Research • Understand end to end data interactions and dependencies across our existing data pipelines and data transformation and how they impact business decisions. • Design best practices for big data processing, data modeling and warehouse development for NextSense. • Build integration and automation across different systems to scale data operations and increase efficiency.

🎯 Requirements

• 3+ years in building a data warehouse and data pipelines. • Or, 5+ years in data intensive engineering roles. • Solid understanding of databases (relational, key/value, document, columnar, olap, graph) • Strong SWE principles and OO experience • Experience with GCP, Kubernetes • Experience building and running in production (24x7 environments) distributed large-scale systems • Experience in working on Cloud Distributed Storage/Databases and/or data technologies that power analytics (e.g., Pinot, Druid, Redshift, Hadoop, Spark, Presto, Kafka, Flink, etc. or similar technologies) • Experience in Building Micro services & Cloud Platforms on AWS, Azure etc • Experience with open source project management and governance • Hands on experience developing distributed systems, databases, or other large scale data systems.

🏖️ Benefits

• Flexible/hybrid work schedule (built-in work from home days) • Equity • Retirement savings (no employer matching at this stage) • Healthcare Flexible Spending Account (FSA) • Medical, dental, vision, and life insurance • Wellness-bundle, commuter benefits • Paid vacation, holidays, parental leave