Job Opportunities API

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 a   Data Engineer II   to 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,   maintain   and enhance our data warehouse, and build scalable data products that help the company move faster and make better decisions. Our current stack includes   Snowflake,   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 like   Claude Code, Cursor, AI-assisted development, and data-focused automation frameworks   — can help us build faster, improve quality, and create better internal data products. This is   a great role   for 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 data   teams   work. What you'll do: • Build,   maintain , and   optimize   data pipelines across a variety of source systems. • Support and improve our core data warehouse infrastructure, primarily in   Snowflake , with some legacy warehouse environments such as   Redshift . • Develop and   maintain   transformation logic, models, and reusable data assets using tools such as   dbt . • Build new warehouse functionality, curated data models, marts, and tables that support reporting, analytics, operations, and stakeholder decision-making. • Support BI and   reporting   workflows across   Looker   and   Domo , partnering with analysts and business teams to ensure trusted, consistent metrics. • Manage and troubleshoot existing data pipelines, jobs, connectors, data shares, SFTP connections, APIs, and native integrations. • Write and   maintain   production-quality SQL, Python scripts, and transformation workflows. • Partner with analysts and business stakeholders to understand data needs and translate them into reliable, scalable data solutions. • Help ensure our data is   accurate ,   timely , well-documented, and trusted by the teams that rely on it. • Explore and adopt AI-assisted engineering tools such as   Claude Code, Cursor, and other agentic AI frameworks   to improve development velocity, documentation, testing, data quality, and operational efficiency. • Support warehouse migrations, platform consolidation, and modernization efforts as the company continues to scale. • Collaborate with cross-functional teams across marketing, sales, operations, finance, product, technology, and mortgage operations. • Contribute to data quality monitoring, observability, governance, and process improvements. Who you are: • 3–5+ years of professional experience in data engineering, analytics engineering, business intelligence engineering, or a similar data-focused role. • Strong SQL skills and experience working with large, complex datasets. • Experience building and   maintaining   production data pipelines. • Experience with cloud data warehouses such as   Snowflake ,   Redshift ,   BigQuery , or similar platforms. • Experience with   dbt   or similar data transformation frameworks. • Experience with Python or another scripting language used for data processing, automation, or pipeline orchestration. • 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 as   Looker, 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. • Strong problem-solving skills and attention to detail. • Ability to work with both technical and non-technical stakeholders. • A collaborative mindset and a desire to build reliable systems that help the broader company succeed. Preferred Experience • Experience in the mortgage, lending, financial services, real estate, or fintech industries. • Hands-on experience with   Snowflake,   dbt , Looker, and/or Domo . • Experience using AI-assisted development tools such as   Claude 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. Privacy Policy