Data Engineer

SmartRent is hiring a Data Engineer to turn device telemetry, operational, and enterprise data into trusted, governed assets. The role builds and deploys production-grade Databricks pipelines and curated data assets for data science, ML, and AI workloads.

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

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related quantitative field; or equivalent professional experience
• 5+ years in data engineering, including production work with core and emerging features in Databricks
• Demonstrated experience with Delta Lake, Unity Catalog, Lakeflow (Declarative Pipelines and Jobs), Lakebase, Asset Bundles
• Experience ingesting and modeling high-volume IoT, telemetry, or event-stream data
• Advanced Python and SQL skills
• Familiarity with relevant data structures such as CSV, JSON, Parquet and Delta
• Strong written and verbal communication skills with a demonstrated ability to present technical concepts to non-technical audiences
• Experience enabling self-service data access in Databricks using features such as AI/BI Dashboards and Genie
• Experience in proptech, real estate technology, IoT, or SaaS platform environments
• Databricks Associate or Professional Certifications for data engineering
• Familiarity with Git-based version control and Terraform