Very Good Security
San Francisco
51-200 employees
Data security & compliance infrastructure for modern organizations.
Prior Listings
Lead Data Engineer
Lead Data Engineer
This job is no longer open
At Very Good Security (“VGS”) we are on a mission to protect the world’s sensitive data- and we’d love to have you along for this journey.
VGS was founded by highly successful repeat entrepreneurs, and is backed by world-class investors like Goldman Sachs, Andreessen Horowitz, and Visa. We are building an amazing global team spread across four cities. As a young and growing company, we are laser-focused on delighting our customers and hiring talented and entrepreneurial-minded individuals.
What you get to do:
- Develop and automate large scale, high-performance data processing systems to drive VGS’s business growth and improve the product experience
- Define data engineering architecture, tooling, and standards across the company
- Understand and influence logging to support our data flow, architecting logging best practices where needed
- Engage in all phases of the software lifecycle- design, implement, test, deploy, and support services in production.
- Maintain a culture of code quality through rigorous testing, automation, and code reviews.
- Be proactive and innovative- we rely on your feedback to build a world-class product.
- Be a part of a team that believes in the core values of transparency, collaboration, grit, and humility; in going above and beyond what is required in order to do the right thing for our customers and the company; and in having fun while doing all this!
What you bring to the role:
- BS or equivalent, and a minimum of 5+ years of software development experience- ideally in a SaaS/product development company
- Experience in architecting, building and supporting scalable as well as fault-tolerant batch, real-time and/or near-real-time data pipelines
- Experience working with big data ecosystem tools such as Kafka, Protobuf/Thrift and Spark/Flink/StormExperience with data-flow programming tools such as Apache NiFi, Apache Beam, etc.
- Strong knowledge of data modeling experience with both relational and NoSQL databases and hands-on experience with data warehouses, preferably AWS Redshift
- Expert knowledge of SQL and Python
- We follow modern DevOps practices, and experience with Docker, Kubernetes, Ansible, Terraform will be a plus
- An understanding of how to build for scale, but able to make pragmatic choices to move quickly. You have a strong bias for action
- Comfortable working in roles that at times may be customer-facing
- Excellent written and verbal communication skills
- Experience successfully working with distributed teams across time zones will be a plus
This job is no longer open