Top Real Estate Data & Analytics Jobs in Philadelphia, PA

In this role, you'll build and scale high-throughput data pipelines, ensure data quality, and leverage AI for improved data operations. You'll also lead initiatives in a fast-paced environment focused on real estate data engineering.

As a Senior Data Engineer, you will design and maintain scalable data models, build production data pipelines, and support analytics across various business functions.

The role involves managing data infrastructure, building data pipelines, providing analytics to inform business decisions, and shaping AI workflows in the organization.

The Program Analyst supports Innovation by managing operational performance transparency, developing reporting outputs, translating business needs into actionable plans, and ensuring data accuracy for leadership consumption.

Lead architecture and vendor selection for RSM's Martech stack: optimize Adobe Customer Journey Analytics, select and implement a CDP, evaluate journey orchestration, define integration patterns, data model, identity resolution, governance, and activation across CRM, analytics, and marketing systems to enable ABM and personalized buyer journeys.

The Pricing Analyst III develops pricing models and performs analysis in mortgage insurance pricing, presenting findings to senior leadership.

The Data Researcher will collect data, perform data entry, monitor progress, and support the team with data queries, ensuring accuracy in tasks.

Build and maintain production data pipelines and foundations for People Analytics and AI-driven tools. Integrate HR systems (Workday, Greenhouse), design data models, ensure governance for sensitive employee data, support data science and reporting, and deliver dashboards and Streamlit apps. Optimize queries, enable LLM consumption with quality and latency controls, and collaborate cross-functionally to transition AI prototypes to production.

This role involves writing user stories, supporting agile team processes, and driving customer discovery to enhance technology solutions for clients.

The Lead Data Engineer drives enterprise-scale data solutions, oversees project scoping, and leads a team, ensuring best practices in data engineering.