Senior Data Engineer

Who We Are

Perchwell is the modern data and workflow platform for real estate professionals and consumers. Based on the industry’s foundational data, Perchwell builds a modern software suite to empower real estate professionals to do their best work, provide differentiated service to their clients, and grow their businesses.

Backed by Lux Capital, Founders Fund, and some of the country’s leading Multiple Listing Services (MLSs), Perchwell builds next generation workflow software/data products for the multi-trillion dollar residential real estate industry. Perchwell is the first new entrant to come to market in decades and is currently scaling its best-in-class platform.

Position Overview: 

Perchwell's mission is to become the fastest growing Multiple Listing Service (MLS) workflow and data platform in the country. An MLS is the core system that real estate professionals use to share property listings and market data. With that, data is core to what Perchwell represents, and we are looking for a Senior Data Engineer to take charge of our data engineering initiatives, from building a data lake and warehouse solution to scaling our existing data infrastructure to onboard several new Multiple Listing Services in the coming months.

As a senior data engineer, you'll be collaborating with cross-functional teams including Data Insights, Product, Design, and other engineering teams to build robust data solutions that help Perchwell become the best-in-class platform for managing and analyzing real estate listing data. We're a small but growing team and as a foundational member you'll have the opportunity to shape the standards, culture, and values of the data engineering team.

For this role, we are looking for someone who can work out of our SoHo NYC office 3 days/week.

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

• You're an exceptional communicator who can 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

Note: At this time, we are only considering candidates who are authorized to work in the U.S.

Compensation Range: $160K - $200K

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