Remote Senior Data Engineer

Summary

Join us as we transform cyber security, user privacy, and machine learning online! We are seeking a Senior Data Engineer to maintain, extend, and improve our existing data/ML workflows and implement new ones.

Requirements

• Thoughtful, conscientious, and self-directed
• Experience working with data engineering services on major cloud providers
• Minimum of 3 years of experience in a data role involving designing and building data stores, feature engineering, and building reliable data pipelines that handle high loads
• Proven ability to make independent decisions regarding data processing strategy and architecture
• At least 2 years of professional software development experience in a role other than data engineering
• Significant experience coding and developing in Python
• Experience in building and maintaining distributed data pipelines
• Experience working with Kafka infrastructure and applications
• Deep understanding of SQL and NoSQL databases (preferably Clickhouse)
• Familiarity with public cloud providers (AWS or Azure)
• Experience with CI/CD and orchestration platforms: Kubernetes, containerization, and microservice design
• Familiarity with distributed systems and architectures

Responsibilities

• Maintain, extend, and improve existing data/ML workflows, and implement new ones to handle high-velocity data
• Provide interfaces and systems that enable ML engineers and researchers to build datasets on demand
• Influence data storage and processing strategies
• Collaborate with the ML team, as well as frontend and backend teams, to build out our data platform
• Reduce time-to-deployment for dashboards and ML models
• Establish best practices and develop pipelines that enable ML engineers and researchers to efficiently build and use datasets

Benefits

• Fully remote position with flexible working hours
• An inspiring team of colleagues spread all over the world
• Pleasant, modern development and deployment workflows: ship early, ship often
• High impact: lots of users, happy customers, high growth, and cutting-edge R&D
• Flat organization, direct interaction with customer teams