Analytics Engineer

The Role

As an Analytics Engineer at OnePay, you'll own the analytics foundation (dbt models, testing, and Databricks BI) so the business can move fast on trusted data. We build for humans and AI, so you’ll use AI tools (Claude Code, Cursor) daily to move faster and design models, metrics, and documentation that agents and analysts can both rely on.

What You’ll Do

• 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
• 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

• 3+ 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

Tools We Use

We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly.

What We Offer

• Competitive base salary, stock options, and health benefits from Day 1
• 401(k) plan with company match
• Remote-friendly (US), flexible time off (FTO), and opportunities for growth
• A high-growth, mission-driven, inclusive culture where your work has real impact

Our process varies by role. Most candidates go through

• AI-assisted initial screen
• Interview with Talent Partner
• Technical or Hiring Manager Interview
• Team Interview
• Executive Interview
• Offer!