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Data Infrastructure Software Engineer

extra holidays - extra parental leave - fully flexible

Remote:

Full Remote

Contract:

Full time

Work from:

United States

Offer summary

Qualifications:

3+ years of experience building data warehouses and pipelines or 5+ years in data intensive engineering roles, Strong understanding of various databases and software engineering principles, Experience with GCP, Kubernetes, and building scalable systems, Hands-on experience with cloud platforms (AWS, Azure) and open-source project management.

Key responsabilities:

Identify data needs across engineering teams at NextSense and optimize data interactions and dependencies
Develop best practices for big data processing, modeling, and warehouse development
Implement integration and automation to enhance data operations' efficiency
Redesign and enhance existing data infrastructure in Google Cloud with tools like BigQuery and Compute Engine

NextSense, Inc Healthtech: Health + Technology Startup https://www.nextsense.io/

11 - 50 Employees

See more NextSense, Inc offers

Job description

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.

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.