Analytics Engineering Manager

Openkrill; United States; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Stock options

Health benefits from Day 1

401(k) plan with company match

Remote-friendly (US)

Flexible time off

Job summary

OnePay is seeking an Analytics Engineering Manager to lead a high-performing team transforming raw data into actionable insights that drive strategic decisions. You will ensure data is accessible, reliable, and actionable, partnering with product, marketing, and operations to deliver scalable data solutions.

You will mentor analytics engineers, champion data governance, and guide architecture of our cloud-based analytics stack to support growth and impact.

Qualifications

• 7+ years in data engineering, analytics, or BI with 2+ years in leadership.
• Advanced SQL, Databricks, and dbt expertise.
• Experience scaling data transformation pipelines in cloud environments.
• Strong data modeling, testing, and documentation practices.
• Proven ability to collaborate with product, engineering, and marketing.
• Experience leading high-performance technical teams.

Responsibilities

• Lead and mentor analytics engineers to build robust data pipelines and models.
• Partner with Product, Engineering, Growth, and Operations to deliver scalable data solutions.
• Establish data governance and quality standards across the organization.
• Drive design and optimization of the data analytics infrastructure for reliability and scalability.
• Oversee analytics project prioritization, delivery, and stakeholder communication.

Skills

Analytics leadership

SQL

Databricks

dbt

Data modeling

Cloud data pipelines

Stakeholder collaboration

Team mentoring

Education

Bachelor’s or higher in a quantitative field

Tools

Kubernetes

AWS

Job description

ABOUT ONEPAY

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 the Analytics Engineering Manager at OnePay, you will lead a high-performing team focused on transforming raw data into actionable insights that drive strategic business decisions. Your work will directly impact our product, marketing, and business operations by ensuring data is accessible, reliable, and actionable. You will:

• Lead, mentor, and grow a team of analytics engineers responsible for building and maintaining robust data pipelines and analytical models
• Partner cross-functionally with Product, Engineering, Growth, and Operations to deliver scalable data solutions and reporting
• Establish and champion data best practices, governance, and quality standards across the organization
• Drive the design and optimization of our data analytics infrastructure, ensuring reliability and scalability
• Oversee analytics project prioritization, delivery, and stakeholder communication

YOU BRING

• 7+ years of experience in data engineering, analytics engineering, or business intelligence, with at least 2+ years in a technical leadership or management role
• Advanced expertise in SQL, Databricks, and dbt
• Experience architecting and scaling data transformation pipelines in a modern cloud environment
• Strong understanding of analytics best practices, including data modeling, testing, and documentation
• Track record of collaborating with multiple stakeholders (product, engineering, marketing) to deliver data-driven business impact
• Experience leading and developing high-performance technical teams
• Drive and proactivity – everyone here is a builder and executor

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

• 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 [e-mail].