Data Engineer
- Phoenix, Arizona
- Full-time
- Posted
Skills
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
Required Qualifications
Preferred Qualifications
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:
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Do the hard work and go out of your way to deliver excellence
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Own outcomes and learn from your mistakes
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Are a collaborative and supportive team player—win or lose, you lift others up
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Value authenticity, diverse perspectives, and inclusion in the workplace
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Have a passion for smart tech and the real estate industry
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