Data Engineer

SightPlan; Phoenix (AZ); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Flexible PTO

401(k) with employer contributions

Parental leave

Employee stock purchase plan

Job summary

SmartRent is seeking a Data Engineer to build and optimize data pipelines that transform device telemetry and operational data into trusted assets. You will collaborate with Data Science, Product, and DevOps to mature our Databricks Lakehouse for data-driven insights across the organization.

You will report to the Director of Data Engineering and contribute to governance, data quality, and scalable data models to support ML/AI workloads and analytics for rental housing platforms.

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, 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 data formats.
• Strong 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 for 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 leadership.
• Build datasets supporting AI workloads, including unstructured data and vector/search data stores.
• Advance the data quality framework with data sensitivity classification and access controls.

Skills

Python

SQL

Communication

Education

Bachelor's degree in CS/Engineering or related field

5+ years data engineering experience

Tools

Databricks

Delta Lake

Unity Catalog

Lakeflow

Lakebase

Asset Bundles

Parquet/CSV/JSON/Delta

Git/Terraform

Job description

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 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.

We Put Our Employees First

• medical, dental, vision, and life insurance with low deductibles and 75–100% employer contributions.
• flexible and generous PTO (because we know how important work-life balance is)
• competitive 401(k) with employer contributions
• paid parental leave
• discounted insurance plans for pets and legal services
• employee stock purchase plan to help you invest in your future.

You’ll fit right in if you:

• Do the hard work and go out of your way to deliver excellence
• Own outcomes and learn from your mistakes
• Are a collaborative and supportive team player—win or lose, you lift others up
• Value authenticity, diverse perspectives, and inclusion in the workplace
• Have a passion for smart tech and the real estate industry