Data Infrastructure Software Engineer
Mountain View, CA, United States
- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingLearn the data needs of engineering, clinical and research teams
Map data dependencies across existing pipelines and transformations
Design best practices for big data processing, modeling and warehousing
Build integration and automation across systems to scale data operations
From the employer’s posting
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
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.
What you’ll bring
All qualificationsCore experience
- 3+ years building data warehouses and pipelines, or 5+ years in data-intensive engineering
- Experience with GCP and Kubernetes
- Experience running distributed large-scale systems in 24x7 production
- Solid understanding of relational, key/value, document, columnar, OLAP and graph databases
- Strong software engineering principles and object-oriented experience
Qualification wording
3+ years in building a data warehouse and data pipelines. Or, 5+ years in data intensive engineering roles.
Experience with GCP, Kubernetes
Experience building and running in production (24x7 environments) distributed large-scale systems
Solid understanding of databases (relational, key/value, document, columnar, olap, graph)
Strong SWE principles and OO experience
Tools in this posting
- AWS
- Azure
- BigQuery
- GCP
- Hadoop
- Kafka
- Kubernetes
- Redshift
- Spark
Source — Tool mentions in context
- 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
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:
- Strong SWE principles and OO experience - Experience with GCP, Kubernetes - Experience building and running in production (24x7 environments) distributed large-scale systems
- 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
Benefits in the posting
Full benefits wording- Our careers benefits include but are not limited to the following:
- 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:
- 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.
- Company Description
From the employer’s posting.
About NextSense
Powered by a disruptive brain-sensing earbud technology and digital ecosystem, our mission is to establish new ways of diagnosing and optimizing therapy for diverse neurological conditions.
In the employer’s words · Read in context
Posting record
Report an errorOpen 3 monthsWe first saw this posting 118 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 3, 2026 · 118 days ago
- Recorded sightings
- 38
- Last seen by us
- Oct 30, 2026
- Employer says posted
- May 3, 2022
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
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.
Company Description
About NextSense:
NextSense’s vision is to be the foundation of brain health and establish a new paradigm in neurocare. Powered by a disruptive brain-sensing earbud technology and digital ecosystem, our mission is to establish new ways of diagnosing and optimizing therapy for diverse neurological conditions. We hope to unlock brain health for everyone with real world data insights and practical, scientific wisdom for daily living.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Mountain View, CA, United States
Our careers benefits include but are not limited to the following: - Flexible/hybrid work schedule (built-in work from home days) - Equity
More source context
Location: Preferred: San Francisco Bay area (open to discussing remote geographic areas) Employment Eligibility:
- Work authorization
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. Company Description
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