NextSense

EEG-based brain health monitoring with personalization

Data Infrastructure Software Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-time

About the Job

Requirements

At least 3 years of experience building a data warehouse and data pipelines, or at least 5 years in data-intensive engineering roles.
Solid understanding of relational, key/value, document, columnar, OLAP, and graph databases.
Strong software engineering principles and object-oriented experience.
Experience with Google Cloud Platform and Kubernetes.
Experience building and running distributed large-scale systems in production 24x7 environments.
Experience with cloud distributed storage/databases and/or analytics data technologies such as Pinot, Druid, Redshift, Hadoop, Spark, Presto, Kafka, or Flink.
Experience building microservices and cloud platforms on AWS, Azure, or similar platforms.
Experience with open-source project management and governance.
Hands-on experience developing distributed systems, databases, or other large-scale data systems.
Must be legally eligible to work in the United States without visa sponsorship or transfer requirements now or in the future; eligible candidates who can work on a TN visa from Mexico or Canada are considered.

Responsibilities

Understand the data needs of different engineering teams, including HWE, Clinical, and Research.
Understand end-to-end data interactions and dependencies across existing data pipelines and data transformations, and how they affect business decisions.
Design best practices for big data processing, data modeling, and warehouse development.
Build integrations and automation across different systems to scale data operations and increase efficiency.

Job Description

NextSense is a cloud based engineering organization with all of our data infrastructure in Google Cloud (GCP) leveraging BigQuery, Compute Engine and Kubernetes. This is a great opportunity to come in and help us redesign or rework our existing data infrastructure.

Responsibilities:

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.

Qualifications

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.

Additional Information

Benefits:

Our careers benefits include but are not limited to the following:

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

Location:

Preferred: San Francisco Bay area (open to discussing remote geographic areas)

Employment Eligibility:

At this time NextSense is only considering candidates for this role who are eligible to legally work in the US without any Visa sponsor/transfer requirements now or in the future. Eligible candidates who can work on a TN Visa from Mexico or Canada will be considered.

About the Company

NextSense

EEG-based brain health monitoring with personalization

NextSense uses real-world brain data to help people manage brain health by collecting long-term EEG signals with comfortable biosensing earbuds that can be worn day and night. The system analyzes EEG data alongside environmental and behavioral patterns to identify triggers and provide real-time, personalized treatment and medication recommendations, delivered through a subscription that includes study designs, cognitive assessments, self-reports, and 24/7 monitoring. It stands out by offering continuous, real-world monitoring with consumer-style earbuds to link brain activity to daily context, rather than relying only on clinic visits or short tests. Its goal is to improve brain health outcomes by giving individuals and clinicians practical, data-driven tools that translate long-term brain data into personalized actions.

Company size: 11-50
Company stage: Series A
Total funding: $30.7M
Headquarters: Mountain View, CA
Founded: 2020

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