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Salary
≈ $117k – $213k per year (Estimated)
Location
Remote (United States)
Seniority
Senior · 6+ years exp
Visa
H-1B filings in 12 months: 2
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 19, 2026. Mainstay scores C on the Alion truth index.

Overview
Company
Impact
Profile match
Mainstay is a market intelligence platform built for buying, managing and selling homes in the single family rental industry, which turns complex data into insights using AI. It was founded within Opendoor, launched as an independent company in 2024 and raised a Series A round led by Khosla Ventures. The company is headquartered in Tempe, Arizona, United States.

About Mainstay

Mainstay is the leading market intelligence platform purpose built for buying, managing, and selling homes in the single family rental industry. As an AI native company, we turn complex data into clarity that helps the industry move forward with confidence. Founded within Opendoor, Mainstay launched as an independent company in 2024 and recently raised a Series A round led by Khosla Ventures.

Ready to shape the future of real estate with AI? Join Mainstay and help us redefine what’s possible in the single family rental space. If you thrive on solving complex problems and want to make a tangible impact in a fast-growing industry, we’d love to hear from you - apply now and let’s move the industry forward, together!

What you’ll do:

As a Senior Data Engineer on the Data Platform team, you will be responsible for building data products in partnership with our data science and product teams. This is a rare opportunity where your data engineering output will be the shipped product and not just an internal resource. Our customers are businesses operating in the single-family home market and our goal is to provide them with high quality data to inform underwriting, leasing, vendor management, and more. We’re a small team dedicated to quality engineering and are looking for a technical leader to help us evolve our products and establish best practices.

You’re expected to:

  • Architect durable data models with intuitive representations of residential real estate

  • Design graceful and reliable workflows to generate data assets

  • Inform the overall architecture of our data platform

  • Establish standards and best practices for data engineering

  • Become a domain expert in real estate

What we’re looking for

  • 6+ years of experience working in data engineering or software engineering

  • Expertise in data architecture, data modeling, and building data pipelines at scale

  • Proficiency in SQL, Python, and/or Spark

  • Expertise in cloud data warehouses such as Snowflake, Redshift, BigQuery

  • Experience scheduling and operating batch data processing workflows

Bonus points if you have:

  • Airflow, Prefect, Dagster, or a similar orchestration system

  • Data Warehouse (DWH) architecture and Change Data Capture (CDC) modeling techniques

  • Web scraping and data extraction from public or semi-structured sources

  • Experience with AI/ML platforms such as SageMaker, MLflow, or similar

  • Hands-on experience managing data platform infrastructure, with proficiency in tools such as Terraform, Docker, and AWS services

Mainstay Built on Trust

At Mainstay, trust is at the core of everything we do. We build trust with everyone -- from candidates to employees to partners. We believe in fairness and openness throughout our hiring process, evaluating candidates based on qualifications without regard to race, color, religion, national origin, age, gender, marital status, disability, veteran status, sexual orientation, gender identity, or any other protected status. Our privacy practices describe how we handle applicant information, you can find the policy details for California residents here.

We are committed to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws. If you require assistance or a reasonable accommodation, please contact us at [email protected]

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