Senior Data Engineer

March 1

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Built

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Built is a company that specializes in providing a cloud platform for construction financing and project management. Their services include construction loan administration, asset and portfolio management, project financials, and payment management. Built streamlines construction loan management with tools for draw and budget management, draw inspections, and risk mitigation. The platform integrates with QuickBooks® Online to help manage budgets, invoices, compliance tracking, and payments, facilitating efficiency and accuracy across construction projects. With a focus on centralization and improved workflows, Built serves lenders, contractors, and real estate professionals, aiming to enhance construction finance management.

Financial Services Technology • Construction Lending • CRE Lending • Bank Compliance • Risk Mitigation

201 - 500 employees

💸 Finance

🏠 Real Estate

☁️ SaaS

📋 Description

• Assist in the collection, organization, and availability of data at Built. • Work with stakeholders to deliver data visualization, exploration, and reporting solutions for internal and external customers. • Ensure that data curation and collection processes are performing as expected for current and future reporting needs. • Help design internal metrics that provide observability into the data collection and transformation processes. • Implement on new projects and greenfield technologies • Lead technical projects and participate in architecture design • Work with teammates to ensure standard engineering processes are followed. • Actively seek collaborative opportunities with teammates • Work with principal engineers and other teams to move larger engineering initiatives forward. • Act as the mentor to which other engineers aspire to become professionally and culturally.

🎯 Requirements

• 5+ years of experience with Python or other modern programming languages. • Strong SQL database expertise. • 2-3+ years of experience with Snowflake or similar data warehouse. • 2-3+ years of Data Warehouse experience. • Familiarity with Apache Spark and Kafka. • Experience with cloud hardware provisioning, forecasting usage, and managing to a budget. • Experience with Linux/UNIX. • Proven track record of sharing outcomes through written communication, including an ability to effectively communicate with both business and technical teams. • A desire to work in a collaborative, intellectually curious environment. • Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent.

🏖️ Benefits

• Competitive benefits including: uncapped vacation, health, dental & vision insurance, and 401k • Robust compensation package including base salary and equity • Flexible working hours, paid family leave, ERGs & Mentorship opportunities • Learning grant program to support ongoing professional development • The rare opportunity to radically disrupt an industry