Data Infrastructure Software Engineer

NextSense is a cloud based engineering organization focused on brain health and innovative neurocare solutions. They are seeking a Data Infrastructure Software Engineer to redesign and enhance their data infrastructure, ensuring efficient data operations and best practices in big data processing.

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

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