Analytics Engineer

Summary

OnePay is a consumer fintech company providing banking, savings, credit, lending, investing, crypto, and embedded financial services to millions of customers. The Analytics Engineer will own the analytics foundation, including production dbt models, data quality, Databricks dashboards, semantic metrics, and documentation, while partnering with technical and business stakeholders to build trusted data products and AI-native workflows.

Responsibilities

• 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

Skills

• 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

Qualifications

Must Haves

• 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

Benefits

• Stock options
• Health benefits from Day 1
• 401(k) plan with company match
• Remote-friendly (US)
• Flexible time off (FTO)
• Opportunities for growth
• A high-growth, mission-driven, inclusive culture where your work has real impact