smartrent · Phoenix, Arizona
Skills: Python, SQL
Who We Are SmartRent (NYSE: SMRT) is revolutionizing how people live and work with the industry’s only end-to-end platform designed for the rental housing industry. By uniting purpose-built software, integrated hardware and full implementation and support in one ecosystem, we help owners and operators simplify operations, cut costs and deliver exceptional resident experiences. Recognized by Deloitte, HousingWire and the PropTech Breakthrough Awards, SmartRent is shaping the future of property technology and redefining what it means to make rental housing smarter. Job Description As a Data Engineer at SmartRent, you will build the pipelines that turn SmartRent’s device telemetry, operational and enterprise data into trusted, governed assets. You'll build and deploy production-grade data pipelines in Databricks by partnering closely with Data Science, Product, and functional stakeholders to curate disparate data sources into actionable assets. Reporting to the Director of Data Engineering, part of our new transformational Enterprise Data and AI organization, you will use your hands-on experience to mature our Databricks Lakehouse to increasingly become the nexus of data-driven insight across SmartRent. Responsibilities Build and maintain batch and streaming data pipelines for high-volume device telemetry and operational data. Design curated data models across Bronze, Silver, and Gold layers in Unity Catalog that serve data science, ML, and AI workloads. Deploy and promote pipelines using Databricks Asset Bundles, in partnership with DevOps. Contribute to platform standards for governance, cost, and performance with the Director of Data and DevOps. Build and maintain datasets that support agentic AI workloads, including curating unstructured data, leveraging vector- and search-based data stores. Drive the maturity of our data quality framework, including data sensitivity classification and access controls as part of the end-to-end pipeline creation process. Required Qu…
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