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Analytics Engineer

OnePay LogoOnePay
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Salary

$130,000 - $170,000

Location

Remote

Posted

Today

You’ll own OnePay’s analytics foundation (dbt models, testing, and Databricks BI) so the business can move fast on trusted data. This is a senior IC role where you will set technical standards, unblock the team, and ship high-impact work without waiting for perfect requirements. We build for humans and AI. You’ll use AI tools (Claude Code, Cursor) daily to move faster, and design models, metrics, and docs that agents and analysts can both rely on.

This role is responsible for

  • Design and build production dbt models on Databricks that the organization uses as the source of truth for what’s happening in the business
  • Support external reporting with accurate, governed data that stakeholders and partners can trust
  • Own data quality: testing, CI/CD, documentation, and patterns the team follows
  • Build and evolve Databricks dashboards and semantic metrics for self-service across the business
  • Lead technically (code review, architecture, mentoring junior AEs) so the team ships faster with a higher quality bar
  • Partner with Data Engineering, Analytics Engineering, and analytics stakeholders to turn messy business problems into durable data products
  • Drive AI-native workflows: Cursor/Claude (or equivalent) in daily development; model and doc design that works for LLM consumers

You bring

  • 5+ years in analytics engineering or equivalent: you’ve owned production models end-to-end, not just ad hoc analysis
  • Expert SQL and deep dbt experience (architecture, incremental models, tests, macros, CI/CD)
  • Strong Databricks BI (or equivalent semantic layer) delivery
  • AI-savvy in practice: you already use AI coding tools daily, validate outputs rigorously, and design data for both humans and agents
  • Proven ability to execute in ambiguity: startup pace, incomplete specs, bias toward shipping
  • Clear communicator across technical and non-technical audiences
  • Owner mentality: you see what’s broken, fix it, and raise the bar for others
  • Strong plus: fintech/regulated data, Python automation, Databricks, GitLab/MR workflows, prior tech-lead or lead/senior IC experience on a lean data team

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