Data Engineer

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 Qualifications

• 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.

Preferred Qualifications

• 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.