Staff Data Engineer

Who We Are

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.

Data is core to Perchwell's mission of creating a unified Multiple Listing System (MLS). As a Staff Data Engineer, you'll collaborate with cross-functional teams (Data Analysts, Product, Design, and Engineers) to build robust data solutions. From building a data lake and warehouse solution to scaling our existing data infrastructure, you'll create a best-in-class system to accelerate Perchwell's ability to onboard client data quickly and accurately. As a foundational member on this new initiative, you'll have the opportunity to shape the standards, culture, and values of the data engineering team.

We are looking for teammates who are excited to work from our SoHo NYC office 3 days a week.

• 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

• You bring 6+ 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

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 $200-$245K base salary + equity + 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.