Data Infrastructure Software Engineer

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., * 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 (eg, 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.

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)
• Medical, dental, vision, and life insurance
• Paid vacation, holidays, parental leave