Analytics Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $130k - $170k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

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OnePay

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💳 Fintech

🏦 Banking

₿ Crypto

💰 $300M Series unknown on 2025-01

Fintech • Banking • Crypto

OnePay is a U. S. -based financial technology company that provides consumer-facing banking and payment products through partner banks. The app offers checking/savings with early pay and high-yield savings, a credit-builder program and secured Builder Mastercard, a CashRewards card with Walmart-focused cashback, investing and cryptocurrency trading, a digital wallet, pay-later options, and free tax filing for customers. OnePay partners with Coastal Community Bank, Lead Bank, Synchrony, and other providers for banking, card issuance, lending, and custody services; it is not itself a bank.

📋 Description

• 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

🎯 Requirements

• 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, GitLab/MR workflows, prior tech-lead or lead/senior IC experience on a lean data team

🏖️ Benefits

• Competitive cash • Benefits effective on day one • Early access to a high potential, high growth fintech • 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