Here at Lower, we believe homeownership is the key to building wealth, and we're making it easier and more accessible than ever. As a mission-driven fintech, we simplify the home-buying process through cutting-edge technology and a seamless customer experience.
With tens of billions in funded home loans and top ratings on Trustpilot (4.8), Google (4.9), and Zillow (4.9), we're a leader in the industry. But what truly sets us apart? Our people. Join us and be part of something bigger.
Job Description:
Lower.com is looking for aData Engineer IIto join our Data & Analytics team. This is an exciting opportunity to work on a team that supports stakeholders across the entire company and has access to the full breadth of Lower's data ecosystem.
As a Data Engineer, you will help build,maintain, and improve the data infrastructure that powers reporting, analytics, operations, marketing, finance, product, and executive decision-making across the business. You will work closely with analysts, data engineers, business leaders, and technical stakeholders to create reliable data pipelines,maintainand enhance our data warehouse, and build scalable data products that help the company move faster and make better decisions.
Our current stack includesSnowflake,dbt, Looker, Domo, and a variety of source-system connectors, native pipelines, APIs, data shares, SFTP-based integrations, and Python-based workflows. We are also actively exploring how modern AI development tools and agentic workflows - including tools likeClaude Code, Cursor, AI-assisted development, and data-focused automation frameworks- can help us build faster, improve quality, and create better internal data products.
This isa great rolefor someone who enjoys working in a dynamic, high-growth environment, likes solving data problems, and is excited by the opportunity to use modern tooling, including AI-assisted development, to improve how datateamswork.
Build new warehouse functionality, curated data models, marts, and tables that support reporting, analytics, operations, and stakeholder decision-making.
Manage and troubleshoot existing data pipelines, jobs, connectors, data shares, SFTP connections, APIs, and native integrations.
Explore and adopt AI-assisted engineering tools such asClaude Code, Cursor, and other agentic AI frameworksto improve development velocity, documentation, testing, data quality, and operational efficiency.
Collaborate with cross-functional teams across marketing, sales, operations, finance, product, technology, and mortgage operations.
Who you are:
3-5+ years of professional experience in data engineering, analytics engineering, business intelligence engineering, or a similar data-focused role.
Familiarity with data integration patterns, including APIs, SFTP transfers, file-based ingestion, third-party connectors, data shares, and native platform integrations.
Comfort working with BI and analytics tools such asLooker, Domo, Tableau, Power BI, or similar platforms.
Interest in using modern AI tools to improve data engineering workflows, including AI-assisted coding, documentation, testing, code review, and automation.
Comfort working with messy, real-world business data and turning it into clean, trustworthy, usable data assets.
Experience in the mortgage, lending, financial services, real estate, or fintech industries.
Experience using AI-assisted development tools such asClaude Code, Cursor, GitHub Copilot, or similar tools.
Experience exploring or building with AI agents, workflow automation, LLM-powered internal tools, or agentic development frameworks.
Experience with orchestration tools, cloud platforms, CI/CD workflows, or modern data stack tooling.
Familiarity with data governance, data quality testing, observability, and documentation best practices.
Experience supporting executive reporting, operational analytics, marketing analytics, mortgage operations, or sales funnel reporting.
Lower provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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