Mainstay Labs Inc.· startup· Oct 23, 2026 · 4d ago
United States
Location
Remote
Work mode
Full-time
Schedule
Senior
Level
$160K–$213K est.
Estimated compensation
6+ years exp
Experience
Job description
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 mainstay.io.
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 mainstay-recruiting@opendoor.com
Requirements
Must-haves
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
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
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
Nice-to-haves
None flagged.
Application prep
Use the role’s language and application details while tailoring your materials.