Data Engineer

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 (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

We offer a comprehensive and competitive benefits package designed to support your well-being and future. For our US employees, this includes medical, dental, vision, and life insurance with low deductibles and 75–100% employer contributions. We also provide flexible and generous PTO (because we know how important work-life balance is), a competitive 401(k) with employer contributions, paid parental leave, discounted insurance plans for pets and legal services and an 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

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in SmartRent’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A “disabled veteran” is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A “recently separated veteran” means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An “active duty wartime or campaign badge veteran” means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An “Armed forces service medal veteran” means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.