Senior Data Infrastructure Engineer
Core
Building and operating the data foundation (instrumentation, pipelines, warehouse, semantic layer) to enable trustworthy self-answered questions via AI agents.
Role type
Senior Data Infrastructure Engineer
Builds
Event instrumentation, batch/streaming pipelines, warehouse transformation layer, semantic models, and data quality tests.
Domain
Real estate technology, data infrastructure, AI/LLM data consumption
Deliverable
production ML models
Required skills
SQL, dimensional modeling, Python, event instrumentation, data pipeline orchestration, semantic modeling, code reading (TypeScript/Node.js)
Preferred skills
Kafka, dbt, LookML, CI/CD for data, MCP, geospatial data
Technologies
Redshift, Looker, Airflow, Kafka, AWS, Kubernetes, Python, SQL, TypeScript
Responsibilities
Define and audit product event tracking plans; build and maintain batch/streaming pipelines and warehouse transformation layers; design semantic models and metric definitions for AI/BI tools; partner with business units to validate metric definitions. (via careerplan.io/jobs/33-00F-3F-07E-senior-data-infrastructure-engineer-at-madlan)
