Backend AI-Forward Data Engineer
Core
Design, build, and operate core data infrastructure enabling AI-powered products, analytics, and decision-making for a global multifamily real estate portfolio.
Role type
Senior Backend AI-Forward Data Engineer
Builds
Scalable data pipelines, Data Management Platform (DMP), MCP server integrations, feature stores, and real-time data serving layers for AI/ML workloads.
Domain
Real estate / Property management / AI infrastructure
Deliverable
production ML models
Required skills
Distributed data processing (Databricks, Spark), SQL, Python, Data modeling (star schema, data vault), AI coding tools (Cursor, Codex, Claude Code), Orchestration (Airflow, Dagster), Cloud platforms (Azure ADLS, Synapse, AWS/GCP), Vector databases (Pinecone, Weaviate), MCP/LLM integration patterns, Data governance & compliance.
Preferred skills
Real estate or asset management domain knowledge, Multi-source heterogeneous data environments, Data product design for multiple business units.
Technologies
Databricks, Spark, Delta Lake, Unity Catalog, Python, SQL, dbt, Azure (ADLS, Azure ML, Synapse), Git, Terraform, Monte Carlo, Great Expectations.
Responsibilities
Design and maintain scalable data pipelines ingesting from diverse sources (PMS, CRM, IoT); Build and operate DMP ensuring data governance and validation; Develop data models optimized for analytical queries and AI consumption (feature stores, embeddings); Implement data quality frameworks with automated testing and anomaly detection; Build and maintain MCP server integrations exposing data to LLM-powered tools; Partner with Data Science teams to operationalize ML models (training, evaluation, deployment); Implement data governance policies and observability (monitoring, alerting, SLA tracking).
Seniority
Senior, hands-on IC