Senior Data Engineer

About Crexi Commercial real estate is one of the largest asset classes on earth and one of the last to go digital. Deals still get done over email threads, PDFs, and relationships nobody can search for. Crexi is the exchange betting that doesn't have to be true anymore: we're building the platform where an entire industry finds, evaluates, and closes deals, and we're betting hard on AI to get there faster than anyone thought this industry could move. There's no playbook for turning a trillion-dollar, relationship-driven industry into a modern marketplace which means the people building it get to write it. About the Role: Crexi is looking for a Senior Data Engineer to join our team hybrid in Los Angeles or remote in the US. The Senior Data Engineer owns the design and delivery of robust, scalable data pipelines, models, and infrastructure that power Crexi’s data and analytics. The role drives data quality and reliability, mentors other engineers, and partners across teams. It exists to deliver trustworthy, performant data systems at the scale Crexi’s products require. What You'll Do: Designs, builds, and owns scalable data pipelines and ETL/ELT workflows and the underlying data models. Drives data quality, reliability, observability, and performance across data systems. Partners with analytics, ML, software, and product teams to deliver data for products and insights. Owns data infrastructure and orchestration and improves CI/CD for data workflows. Integrates AI-assisted development tools into the team’s workflow to improve quality and velocity, and contributes to evaluating AI-powered capabilities in Crexi’s products. Leads resolution of complex data issues and improves system reliability. Mentors engineers and contributes to data engineering standards. Qualifications: Bachelor’s degree in Computer Science, Data Engineering, or a related field, or equivalent experience. 4+ years of data engineering experience, including ownership of scalable pipelines and models. Strong proficiency with SQL and a data-engineering language (e.g., Python), plus pipeline/orchestration tools. Experience designing scalable data models and cloud data platforms (e.g., warehouse/lakehouse). Who You Are: Solid grasp of data quality, observability, and performance optimization. Sound judgment using AI-assisted development tools. Ability to mentor and elevate other engineers. Thrives in a fast-paced, dynamic environment. Exceptional communication skills, with the ability to provide clear and concise information to stakeholders at all levels of the organization. Strong analytical skills, with the ability to interpret complex information, identify patterns, and present insights clearly and accurately. Excellent organizational and prioritization skills, with the ability to manage multiple priorities and deadlines simultaneously. Self-starter who independently owns their own success and demonstrates…