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
STANDARD INTERVIEW PROCESS
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!
EQUAL EMPLOYMENT OPPORTUNITY
To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.
