Data Infrastructure Software Engineer

NextSense; Mountain View (CA); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Flexible work schedule

Equity

Medical, dental, vision, and life insurance

Paid vacation and parental leave

Job summary

NextSense is seeking an experienced data engineer to help optimize our cloud-based data infrastructure leveraging GCP. You will work closely with various engineering teams to ensure data meets their needs while implementing best practices for big data processing.

Ideal candidates will have over 3 years in data warehousing or extensive experience in data engineering roles. Benefits include flexible work schedules, competitive equity packages, and comprehensive medical coverage.

Qualifications

• 3+ years in building a data warehouse or 5+ years in data engineering roles.
• Solid understanding of various database types (relational, key/value, etc.).
• Experience with large-scale systems in production environments.

Responsibilities

• Understand data needs of engineering teams at NextSense.
• Design best practices for big data processing and modeling.
• Build integration and automation to scale data operations.

Skills

Data warehouse building

Data pipelines development

GCP and Kubernetes

Distributed systems

Cloud platforms (AWS, Azure)

Tools

BigQuery

Hadoop

Spark

Kafka

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

• 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

Location

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

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.