Analytics Engineer

• 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
• 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
• We use Node and TypeScript on the server, leveraging the NestJS framework within a microservice-oriented architecture running on Kubernetes and AWS. On the client side, we build and ship product features for iOS, Android, and web platforms using React Native. We also embrace AI-assisted development, so engineers have their choice of Claude Code or Cursor to fit their workflow

Benefits

• Competitive health benefits: Medical, dental, and vision plans, pluss wellness perks.
• Flexible time off: Rest, recharge, repeat.
• Paid employee leave: Sick, personal, caregiver, bereavement, ans parental.
• 401k plan: With employer match.
• Monthly work-from-home stipend: To cover those home office expenses.
• Remote-first culture: Work anywhere in the US.- AI-savvy in practice: you already use AI coding tools daily, validate outputs rigorously, and design data for both humans and agents
• Strong Databricks BI (or equivalent semantic layer) delivery
• Owner mentality: you see what’s broken, fix it, and raise the bar for others
• Clear communicator across technical and non-technical audiences
• Proven ability to execute in ambiguity: startup pace, incomplete specs, bias toward shipping
• Expert SQL and deep dbt experience (architecture, incremental models, tests, macros, CI/CD)
• 3+ years in analytics engineering or equivalent: you’ve owned production models end-to-end, not just ad hoc analysis
• While you don’t need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly- Initial Interview with Talent Partner
• Technical or Hiring Manager Interview
• Team Interview
• Executive Interview
• Offer!