Very Good Security (“VGS”) was founded by highly successful repeat entrepreneurs and is backed by world-class investors like Goldman Sachs, Andreessen Horowitz, and Visa. Our company is building a modern approach to data security, compliance and privacy. VGS completely de-scopes clients from needing to hold sensitive data themselves, while still allowing them to get the full benefit of using & operating on any kind of sensitive data (payments, PII, access credentials, etc.). A major benefit to using our platform is that companies are able to offload liability while fast-tracking compliance certifications, including PCI, SOC2, and more.

Your impact and why VGS needs you:

• We are looking for a Senior Data Engineer with an equal flair for creative problem solving, new technologies enthusiasm, and desire to contribute to product development.

In this role you will:

• Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.
• Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging various technologies and big data tools.
• Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
• Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.
• Collaborate with data analysts and scientists to create fast and efficient algorithms that exploit our rich data sets for optimization, statistical analysis, prediction, clustering and machine learning.
• Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.
• Oversee junior team members activities and help with their professional grows

We expect you to have:

• 5+ years of software development experience, ideally at a product company.
• 3+ years of experience building and supporting scalable as well as fault-tolerant batch, streaming, real-time and/or near-real-time data pipelines. 
• 3+ years experience with one or more data-flow programming frameworks such as   Apache Beam,  Flink,  Argo, Airflow, Prefect, etc.
• Strong knowledge of data modeling experience with both relational and NoSQL databases
• Hands-on experience with data warehouses, preferably AWS Redshift
• Expert knowledge of SQL and Python. 
• Ability to work independently to deliver well-designed, high-quality, and testable code on time.
• Capable of mentoring more junior developers.
• English - upper-intermediate / advanced

Even better if you know a bit about:

• Hands on experience working with big data ecosystem tools such as:
- Singer, Airbyte, etc.
- Apache Kafka, AWS Kinesis
- Kafka Streams, Streamz, Storm 2.0, etc.
- Apache Hive, Spark, Iceberg, Presto, AWS Athena, etc.
- Protobuf/Thrift
- PostgreSQL
• Understanding and hands-on experience with Kubernetes
• Open source projects on GitHub

What you get from us:

• Competitive medical health benefits
• 3 weeks of paid vacation and 2 weeks of days off+sick leaves
• Hacker’s days
• Paid lunches 
• Professional learning: conferences, trainings, and other events
• Sports activities compensation
• English Speaking Club
• VGS stock options
• Mental Health Support Program