Data Engineer — Databricks Lakehouse & AI Pipelines

SmartRent; Phoenix (AZ); On-site; USD 110,000 - 170,000; Full time

Job summary

SmartRent, a leader in rental housing technology, is seeking an experienced Data Engineer to build and operate production-scale data pipelines in Databricks. You will transform device telemetry, operational and enterprise data into trusted assets and collaborate with Data Science, Product, and DevOps teams.

Reporting to the Director of Data Engineering, you will mature the Databricks Lakehouse to become a central hub for data-driven insight, establishing governance, scalable data models, and

Qualifications

• Degree in CS, engineering or related field, or equivalent experience.
• 5+ years in data engineering with Databricks production work.
• Experience with Delta Lake, Unity Catalog, Lakeflow, Lakebase, Asset Bundles.
• Experience ingesting high-volume IoT/telemetry/event-stream data.
• Advanced Python and SQL skills.
• Familiarity with CSV, JSON, Parquet and Delta formats.
• Strong written and verbal communication for non-technical audiences.

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 for data science and AI workloads.
• Deploy and promote pipelines using Databricks Asset Bundles with DevOps.
• Contribute to platform governance, cost, and performance standards.
• Build datasets supporting AI workloads, including unstructured data and vector/search stores.
• Advance the data quality framework with data sensitivity and access control features.

Skills

Data engineering

Python

SQL

IoT data modeling

Communication skills

Education

Bachelor's degree in CS/Engineering or related field

Tools

Databricks

Delta Lake

Unity Catalog

Lakeflow

Lakebase

Asset Bundles

Git

Terraform

CSV

JSON

Parquet

Job description

SmartRent, a leader in rental housing technology, is seeking an experienced Data Engineer to build and operate production-scale data pipelines in Databricks. You will transform device telemetry, operational and enterprise data into trusted assets and collaborate with Data Science, Product, and DevOps teams.

Reporting to the Director of Data Engineering, you will mature the Databricks Lakehouse to become a central hub for data-driven insight, establishing governance, scalable data models, and