Analytics Engineer

About One Pay One Pay 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 One Pay 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

You’ll own One Pay’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, Git Lab/MR workflows, prior tech-lead or lead/senior IC experience on a lean data team.
• Pay Transparency

The estimated annual base salary for this position ranges from $130,000 to $170,000.

Pay is generally based upon the level, complexity, responsibility, and job duties / requirements of the specific position.

We then source candidates with the requisite skills, expertise, education, training, and experience.

If you are selected for an interview, please feel welcome to speak to a Talent Partner about our compensation philosophy and other available benefits.

• What it’s like working @ One
• Competitive cash Benefits effective on day one
• Generous stock option packages in an early-stage startup
• Remote friendly (anywhere in the US) and office friendly - you pick the schedule
• Flexible time off programs - vacation, sick, paid parental leave, and paid caregiver leave
• 401(k) plan with match
• Standard Interview Process
• Initial 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.

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