Position Details
About this role
Own the systems that convert raw data into trusted insights across the company. Build and maintain scalable data models and robust ELT pipelines that power billing, revenue, usage, and customer success workflows.
Key Responsibilities
- Design, build, and maintain trusted, scalable data models that power reporting and analytics
- Own the evolution of the data platform and replace legacy admin and ad-hoc reporting
- Develop and maintain robust ELT pipelines, transformations, and data stores for billing/revenue/usage/customer success
- Apply data modeling and warehousing principles to create well-documented analytics-ready tables
- Write high-quality, secure, maintainable, and testable production code
Technical Overview
Design analytics-optimized tables using strong data modeling and data warehousing principles. Develop and maintain production ELT pipelines with well-tested, secure, maintainable code to unify reporting tooling and replace legacy ad-hoc processes.
Ideal Candidate
The ideal candidate is a senior data engineer with 3+ years of professional experience in data engineering, analytics engineering, or business intelligence. They have strong SQL skills and hands-on experience designing analytics-focused data models and production ELT pipelines that support trusted reporting and decision-making.
Must-Have Skills
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Must have 3+ years of professional experience in data engineering, analytics engineering, business intelligence, or a closely related role, Must have strong SQL skills, Must have experience building and maintaining production data pipelines
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