Senior Data Engineer

Mainstay Labs Inc.; United States; Remoto; USD 140.000 - 180.000; Tempo pieno

Descrizione del lavoro

Mainstay is seeking a Senior Data Engineer for the Data Platform team. You will build data products in partnership with data science and product teams, delivering data assets as shipped products for customers in the single-family rental market.

You’ll lead durable data models, design reliable data workflows, and help shape the overall data platform, establishing standards and best practices while becoming a domain expert in real estate.

Competenze

• 6+ years of experience 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.

Mansioni

• 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.

Conoscenze

Data architecture

Data modeling

Data pipelines

SQL

Python

Spark

Snowflake

Redshift

BigQuery

Airflow

Terraform

AWS

Strumenti

Snowflake

Redshift

BigQuery

Airflow

Terraform

AWS

Descrizione del lavoro

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.

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 [e-mail]