Analytics Engineer

Role Overview

Join OnePay as an Analytics Engineer to own the organization’s analytics foundation and deliver high-impact analytics engineering work. This is a senior individual contributor role focused on technical leadership, shipping quality work, and raising engineering standards.

Key Missions

• Own OnePay’s analytics foundation, including dbt models, testing, and Databricks BI.
• Design and build production dbt models on Databricks that act as the source of truth.
• Lead technically through code reviews, architecture discussions, and mentoring junior analytics engineers.
• Support external reporting and ensure ongoing data quality.

Responsibilities

• Build and maintain production-grade dbt assets (models, tests, macros).
• Implement data quality practices and unblock the wider analytics/data team.
• Execute effectively in ambiguity and ship iteratively at startup pace.

Requirements

• Expert SQL and deep dbt experience (architecture, incremental models, tests, macros, CI/CD).
• Strong delivery experience with Databricks BI (or an equivalent semantic layer).
• Clear communication across technical and non-technical audiences.
• Owner mentality: identify issues, fix them, and raise the bar.
• 5+ years in analytics engineering (production models end-to-end, not just ad hoc analysis).
• AI-savvy in practice: use AI coding tools daily, validate outputs rigorously, and design data for both humans and agents.

Nice to Have

• Fintech/regulated data experience.
• Python automation.
• Databricks plus additional tooling like GitLab/MR workflows.
• Prior tech-lead or lead/senior IC experience on a lean data team.