Data Engineer

SmartRent
Phoenix, AZ
On-siteCareer-pivot friendly

Who this role is best for

Best suited to data engineers with Databricks expertise working in proptech or real estate technology environments.

Best fit for

  • Candidates with Databricks production experience in IoT or telemetry data pipelines
    — “production work with core and emerging features in Databricks”
  • Individuals who have matured Databricks Lakehouse environments in prior roles
    — “mature our Databricks Lakehouse to increasingly become the nexus of data-driven insight across SmartRent”
  • Candidates with experience designing data models in Unity Catalog
    — “Design curated data models across Bronze, Silver, and Gold layers in Unity Catalog”

Things to consider

  • Commitment to deploying pipelines using Databricks Asset Bundles with DevOps teams
    — “Deploy and promote pipelines using Databricks Asset Bundles, in partnership with DevOps”
  • Need to handle unstructured data and vector-based data stores for agentic AI
    — “Build and maintain datasets that support agentic AI workloads, including curating unstructured data”

How to stand out

  • Highlight experience with Delta Lake and Unity Catalog in your resume and interviews
    — “Demonstrated experience with Delta Lake, Unity Catalog, Lakeflow”
  • Showcase your ability to communicate technical concepts to non-technical stakeholders
    — “Strong written and verbal communication skills with a demonstrated ability to present technical concepts to non-technical audiences”
  • Include projects involving high-volume IoT or telemetry data pipeline creation
    — “Experience ingesting and modeling high-volume IoT, telemetry, or event-stream data”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • data pipeline deployment
  • data governance
  • data quality framework
Typical background
data engineeringdata sciencesoftware engineering

Skills & requirements

Required

Data EngineeringDatabricksDelta LakeData ModelingData Pipelines

Preferred

Proptech ExperienceDatabricks CertificationsGit Version Control

Stack & domain

Data EngineeringDatabricksDelta LakeCommunicationProblem-solvingAIIot

About the role

Original posting from SmartRent via Greenhouse

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

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

Privacy Policy

Source: SmartRent careers (Greenhouse)

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