Perchwell is the modern real estate listings platform built for agents to search smarter, collaborate better, and close deals faster. We are building the future of residential real estateʼs critical listings infrastructure: a platform where market research and client collaboration converge. Our modern architecture enables continuous innovation at a pace legacy systems cannot match, with AI-powered features and mobile-first capabilities designed for how agents actually work. As consumer expectations and technology evolve, Perchwell remains focused on our core vision: empowering real estate professionals with the most intelligent, data-driven, and connected platform in the industry. Backed by leading venture capital firms including Lux Capital and Founders Fund, along with strategic partnerships with some of the country's top Multiple Listing Services (MLSs), Perchwell represents the first major new platform to enter the listings technology market in decades. This unique combination of institutional investment and deep industry alignment provides both the resources and market validation needed to transform the multi-trillion dollar residential real estate industry. ## What You’ll Drive and Build
Create and scale powerful data pipelines that seamlessly integrate millions of property listings and market insights from multiple real estate data sources and APIs
Champion data excellence by architecting automated governance systems that ensure pristine data quality and deep observability across our platform
Lead the evolution of our data infrastructure to support rapid MLS onboarding, building solutions that will serve real estate professionals nationwide
Partner with our Data Analytics team to transform raw property data into actionable insights, powering decision-making tools and market intelligence dashboards
What You’ll Need
You bring 4+ years of hands-on data engineering expertise, with deep experience in Python, SQL, or Kotlin to tackle complex challenges
You have a proven track record of architecting and deploying resilient data pipelines that seamlessly integrate with third-party APIs, handling both batch processing and real-time data streams
You've mastered the art of workflow orchestration using modern tools like Airflow, Dagster, or Prefect, ensuring data flows smoothly and reliably
Experience with cloud architecture (preferably AWS) and technologies including S3, SQS, RDS, EMR, Glue, Athena, and Lambda
Experience working with data warehouses: redshift, snowflake, ClickHouse or google bigquery
Experience building CI/CD pipelines using GitLab, GitHub actions, Terraform, or Jenkins
You understand the bigger picture of microservices architecture and have implemented cloud data lake solutions that drive real business value
Ability to translate complex concepts for diverse audiences and thrive in collaborative environments
Salary Range
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. Our ranges are based on function and level benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including skills, job-related knowledge and depth of work experience. The compensation for this position is $160-$200K base salary + equity + benefits
Benefits
Flexible PTO, plus 10 paid company holidays
401K with a company match
Medical, dental, and vision plans
HSA and FSA options
Commuter benefits
Parental leave
Company-wide onsite or offsite each year
Beautiful office in Soho, Manhattan with a stocked kitchen, catered breakfast and lunch once per week, happy hours and meet-ups
Note: At this time, we are only considering candidates who are authorized to work in the U.S.
