Analytics Engineer

Ovii's Interpretation of the Role

The Analytics Engineer will own OnePay's analytics foundation, building and maintaining production dbt models, ensuring data quality, and delivering self‑service dashboards. Daily work leverages Databricks, AI‑assisted coding tools, and close collaboration with data engineering and business stakeholders.

Role Snapshot

• Own analytics foundation (dbt & Databricks)
• Design and build production data models
• Ensure data quality through testing & CI/CD
• Develop Databricks dashboards & semantic metrics
• Drive AI‑assisted development workflows
• Collaborate with data engineering and business partners

Must-Have Requirements

• SQL
• dbt
• Databricks BI (or equivalent semantic layer)
• AI coding tools (Claude, Cursor) usage
• analytics engineering
• production dbt models

Nice-to-Have Signals

• Familiarity with modern software engineering practices (Node, TypeScript, Kubernetes, AWS)
• AI‑assisted development
• modern software engineering practices

Work Setup

• Location: United States
• Work mode: REMOTE
• Remote scope: COUNTRY_RESTRICTED
• Remote countries: United States
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown

Not Specified in JD

• Salary range
• Visa sponsorship
• Travel requirement
• Security clearance
• Coding test

What You'll Likely Work On

• Design and implement production dbt models on Databricks that serve as the company’s source of truth
• Support external reporting with accurate, governed data trusted by stakeholders
• Own end‑to‑end data quality, including testing, CI/CD pipelines, documentation, and reusable patterns
• Build and evolve Databricks dashboards and semantic metrics for self‑service analytics
• Partner with Data Engineering and analytics stakeholders to transform messy business problems into durable data products
• Drive AI‑native development workflows using tools such as Claude or Cursor

Good Fit If You Have

• Thrives in fast‑paced, ambiguous environments
• Clear communicator with both technical and non‑technical audiences
• Owner mentality – identifies gaps and raises the bar for the team