OnePay is a consumer-finance platform that combines banking, savings, credit, point-of-sale lending, investing, and cryptocurrency products in one account. Backed by Walmart and Ribbit Capital, the company also provides embedded financial services through employers, payroll platforms, and other partners.

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.

Salary
$140,000–$190,000/year · equity offered
Remote region
United States (Remote)
Engagement
Full-time

About this role

About OnePay is the consumer fintech trusted by millions of Americans to make money better.

Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast.

We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.

We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining.

But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are.

Ready to run

Hungry and driven by urgency

Exceptional at what they do, with low ego

Comfortable operating in motion

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 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. 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.

Role requirements and focus

What you’ll work on

  • Make AI-supported workflows understandable, trustworthy, and easy for people to control.
  • Make dense information and data-driven workflows easier to understand and act on.
  • Partner closely with engineering to carry design intent into production.

Skills and focus

  • reporting
  • analytics engineer
  • analytics engineering
  • dbt
  • semantic layer
  • data engineering

Useful context

Specialty

Analytics engineering

Work type

Full-time

Source

OnePay careers

Last verified

Sep 12

Verification context

Verified against the employer's complete live ATS feed and a previously reviewed company identity.

Role terms can change after verification. The employer application page remains the final authority.

Similar remote data roles

View all selective data job alerts