Data Engineer

This range is provided by Quicken. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range: $/yr - $/yr

We’re seeking an Analytics Engineer, a data-powered problem solver who bridges the gap between business needs and analytical systems. You’ll be the first line of insight generation: rapidly answering business questions, prototyping tools, and enabling stakeholders through AI-assisted self-service and scalable solutions. This role is ideal for someone who thrives on quick iterations, sharp analysis, and automating away repetitive work.

• Use advanced SQL and analytical thinking to turn ambiguity into answers.
• Develop quick prototypes (dashboards, reports, notebooks) that guide business decisions.
• Build lightweight, scalable solutions like recurring dashboards, alerts, and data monitors.
• Create and manage AI copilots or agents to enable business users to self-serve insights via natural language.
• Maintain documentation and usage examples that teach others how to use available data effectively.
• Work with data engineers to identify gaps in raw data or modeling.
• Influence data architecture and metric definitions by bringing real user needs to the table.
• Own and maintain existing business-critical reports across departments, and partner directly with stakeholders across Product, Marketing, Finance, and Operations.

• 2+ years of experience in data roles (e.g. analyst, BI engineer, analytics engineer)
• Fluency in SQL and experience with BI/reporting tools
• Experience with Python for notebook-based analysis and Agent development
• Strong grasp of business fundamentals and metrics-driven thinking
• Experience with AI tools, copilots, or scripting for automation is a strong plus
• Prior exposure to dbt or light transformation logic preferred

Type:
Full Time

Salary Range: $135-145K (DOE) + bonus