Analytics Engineer
Machinify- Full Time
- Mid-level (3 to 4 years)
Candidates should have experience designing and maintaining production-grade data models and pipelines, a deep understanding of modern data modeling principles and best practices, strong SQL skills, and confidence working with complex datasets and schemas. They should also possess high attention to detail, with high standards for data accuracy and validation, flexibility and resourcefulness in navigating manual tasks or imperfect systems, and a passion for clean code, scalable architecture, and incrementally reducing complexity over time.
The Analytics Engineer will dive into complex systems and manual workflows to develop an understanding of Tailscale’s tools and constraints, thoughtfully design and maintain clean, scalable, production-grade dbt models used for billing pipelines and financial reporting, work across the full data pipeline from ingestion to transformation to visualization, take a pragmatic approach to system challenges, and collaborate with Finance, Engineering, Sales, and other teams to understand data needs and deliver timely, practical solutions. They will also support other domains as the team grows and flexibly assist with billing systems, GAAP accounting, revenue recognition, or audit support.
Secure VPN for remote resource access
Tailscale offers a secure networking solution that allows users to access remote resources like virtual machines and databases from anywhere using a WireGuard-based Virtual Private Network (VPN). Its service is designed for businesses and individuals needing to manage private resources remotely, with a focus on simplicity and minimal setup. Tailscale's freemium model attracts a wide user base, allowing users to start for free and upgrade for additional features. The company aims to enhance data security while providing an easy-to-use remote access solution.