Data Infrastructure Software Engineer
@ NextSenseData Infrastructure Software Engineer
This job is still taking applications, but it's been up a while.
About the job
NextSense is a neurocare company utilizing brain-sensing tech and cloud data systems to improve brain health. This role focuses on designing and optimizing data infrastructure on GCP, supporting multi-disciplinary teams with scalable data solutions. Remote options available.
Requirements
- 3+ years in data warehouse development
- Experience with GCP and Kubernetes
- Knowledge of distributed data systems
- Strong software engineering principles
- Experience building in production environments
Qualifications
- Bachelor's degree preferred
- Experience with large-scale data systems
- Knowledge of databases and data modeling
- Familiarity with cloud platforms
- Strong problem-solving skills
Full job 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.
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.
- 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:
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.
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