Data Engineer

SmartRent; Dallas (TX); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Medical, dental, vision, and life保险 (U

Job summary

SmartRent is building trusted data capabilities to power device telemetry, operational insights, and enterprise analytics. This Dallas-based role focuses on creating production-grade data pipelines in Databricks that turn raw inputs into governed, reliable assets for data science and agentic AI workloads.

You'll design Bronze-Silver-Gold data models in Unity Catalog, deploy with Asset Bundles, and work with DevOps to uphold governance, cost, and performance standards while expanding datasets for

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.
• Experience with Delta Lake, Unity Catalog, Lakeflow, Lakebase, and Asset Bundles.
• Experience ingesting and modeling high-volume IoT, telemetry, or event-stream data.
• Advanced Python and SQL skills.
• Familiarity with CSV, JSON, Parquet, and Delta formats.
• Strong written and verbal communication skills to present technical concepts to 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 to support 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 for agentic AI workloads, including unstructured data curation and vector/search-based stores.
• Advance the data quality framework end-to-end, including data sensitivity classification and access controls.

Skills

Python

SQL

Batch & streaming data pipelines

Data modeling

Education

Bachelor’s degree in CS/Engineering or related field

Tools

Databricks

Delta Lake

Unity Catalog

Lakeflow

Lakebase

Asset Bundles

Terraform

Git

Job description

SmartRent is building trusted data capabilities to power device telemetry, operational insights, and enterprise analytics. This role focuses on creating production‑grade data pipelines in Databricks that turn raw inputs into governed, reliable assets for data science and agentic AI workloads.

Location: Dallas, TX (onsite)

What you’ll do

• 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 to support 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 for agentic AI workloads, including curating unstructured data and leveraging vector and search‑based data stores.
• Advance the data quality framework end‑to‑end, including data sensitivity classification and access controls during pipeline creation.

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, and Asset Bundles.
• Experience ingesting and modeling high‑volume IoT, telemetry, or event‑stream data.
• Advanced Python and SQL skills.
• Familiarity with common data formats and structures such as CSV, JSON, Parquet, and Delta.
• Strong written and verbal communication skills, including the ability to present technical concepts to non‑technical audiences.

Technologies you’ll work with

• Databricks, Databricks Lakehouse, Unity Catalog, Delta Lake, Lakeflow, Lakebase, Databricks Asset Bundles
• Python, SQL, CSV, JSON, Parquet, Delta
• Vector databases, search‑based data stores
• Terraform, Git‑based version control

Benefits

• Medical, dental, vision, and life insurance with low deductibles and 75–100% employer contributions (US employees)
• Flexible and generous PTO
• Competitive 401(k) with employer contributions
• Paid parental leave
• Discounted insurance plans for pets and legal services
• Employee stock purchase plan

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.

How you’ll work with the team

• Do the hard work and deliver excellence
• Own outcomes and learn from mistakes
• Collaborate with a supportive, team‑first approach
• Value authenticity, diverse perspectives, and inclusion
• Bring a passion for smart tech and the real estate industry