Analytics Engineering Manager

Oneapp
United States
Remote

Who this role is best for

Analytics professionals with data engineering leadership experience and cloud infrastructure expertise will find this mid-level management role in a fast-moving fintech environment

Best fit for

  • Candidates with team leadership experience in data engineering and a background in financial services or fintech
    — “lead a high-performing team focused on transforming raw data into actionable insights
  • Individuals who have built and scaled data pipelines in cloud environments with strong stakeholder collaboration skills
    — “Experience architecting and scaling data transformation pipelines in a modern cloud environment
  • Professionals comfortable with modern software engineering practices and AI-assisted development tools
    — “embrace AI-assisted development, so engineers have their choice of Claude Code or Cursor

Things to consider

  • The role requires at least 2 years of technical leadership experience, which may be a barrier for newer managers
    — “at least 2+ years in a technical leadership or management role
  • Remote work is emphasized, but the role may involve cross-functional collaboration with in-office teams
    — “cross-functionally with Product, Engineering, Growth, and Operations

How to stand out

  • Highlight experience with Databricks, dbt, and SQL in your resume and interview responses
    — “Advanced expertise in SQL, Databricks, and dbt
  • Demonstrate your ability to prioritize analytics projects and manage stakeholder expectations
    — “Oversee analytics project prioritization, delivery, and stakeholder communication
  • Showcase your track record of delivering data-driven business impact through stakeholder collaboration
    — “collaborating with multiple stakeholders (product, engineering, marketing) to deliver data-driven business impact
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • scalable data solutions and reporting
Typical background
7+ years of experience in data engineering, analytics engineering, or business intelligence

Skills & requirements

Required

Data EngineeringSQLDatabricksdbtData Transformation PipelinesData ModelingData GovernanceData Quality Standards

Preferred

Ai-assisted DevelopmentModern Software Engineering Practices

Stack & domain

Data EngineeringAnalytics EngineeringBusiness IntelligenceTechnical LeadershipManagementSQLDatabricksdbtData Transformation PipelinesModern Cloud EnvironmentData ModelingTestingDocumentationCollaborationData-driven Business ImpactHigh-performance Technical TeamsDriving And ProactivityBuilding And ExecutingNodeTypeScriptNestJSMicroservice-oriented ArchitectureKubernetesAWSReact NativeAi-assisted DevelopmentClaude CodeCursorModern Software Engineering PracticesTeam LeadershipMentoringGrowing TeamsCross-functional CollaborationData Best PracticesGovernanceQuality StandardsData Analytics InfrastructureReliabilityScalabilityProject PrioritizationDeliveryStakeholder CommunicationHigh PerformanceUrgencyExceptional PerformanceLow EgoOperating In MotionBuilder And ExecutorFinance

About the role

Original posting from Oneapp via Ashby

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 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

  • 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.

Source: Oneapp careers (Ashby)

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