About
Courted is the leading AI-powered platform for real estate recruiting, retention, and market intelligence. We help brokerages and teams understand agent performance, recruit strategically, and retain top talentall in one place. The real estate industry moves over $100B in annual commissions, and it's still powered by spreadsheets, cold calls, and guesswork. We're building at the intersection of machine learning and a massive industry that's just beginning to modernize. We're an early-stage, high-growth SaaS company shipping fast, working smart, and building transformative tools for the next generation of real estate leaders. We're looking for a senior data engineer who loves solving problems and thrives in a fast-paced environment. You'll work end-to-end across the etl processmanaging integration across a variety of toolsets and helping our team grow to introduce new datasets into our system. At Courted, our data is our foundationour commitment to consistency, coherence and completeness is what keeps users coming back every day. Through strong tools, processes and patterns, we've adapted a huge number of real estate data sources to serve customers across the country. On this team, you'll be responsible for plugging into our environment to identify key efficiencies and guide us as we scale to an ever-increasing user base. Applicants should have a zeal for analytical thinking, practical problem solving and quality. This role is for someone who has lived in large datasets and is excited to join a small, but high-octane team that can push the boundaries of what the industry has been able to offer brokerages and agents to date. Investigate and ingest new datasets to expand analysis with new insights + design novel ways of correlating disparate datasets Collaborate with our product and design teams to turn insights into functional features in our application Engage with our engineering team to align on data contracts, dependencies, and coordination between the etl and the application Manage rigorous qa process for internal validation before releases Engage with customer success to ensure the ongoing validity and value of datasets to end users At least 5 years of full-time experience in data engineering (data analysis, development of etl code, and opinionated experience with etl infrastructure) Strong expertise in python, pyspark, sql and spark optimizationthis is the foundation of our stack Deep experience with databricks. Someone who has really cut their teeth and knows the ins-and-outs of a modern databricks deployment will feel right at home. Real ownership: you'll manage data pipelines end-to-endfrom apis (or even ftp servers ) to productionand see your work go live to thousands of users daily Growth: join as one of the early technical hires with room to shape the team and stack as we scale High velocity: tight feedback loops, minimal bureaucracy, maximum learning Visibility: work directly with data providers and end-users who rely on your work to power their daily process We've built the most comprehensive real estate dataset in the countrycovering more than 95% of all us real estate geographies, spanning 20+ years of historical transactions, agent performance, and market intelligence. no one else has this. That data powers predictive analytics, ai-driven outreach, and retention tools that tell brokerages not just where agents have beenbut where they're heading. we're replacing gut instinct with real insight, and helping our customers move from reactive to proactive in how they grow their business. The technical challenge is real: hundreds of data sources, constantly shifting schemas, and a user base that depends on consistency and accuracy every single day. if you're someone who finds satisfaction in turning chaos into clean, reliable infrastructureand wants to do it at a company where the data is the productyou'll feel right at home. We're a small, focused team that values momentum, candor, and follow-through. everyone buildsideas don't get kicked down the line. We care a lot about the work and very little about titles. people here are competitive about outcomes, not credit. We're a high-trust team that ships fast and sweats the details. We debate ideas, not people, fix things in daylight, and try to keep a sense of humor while doing it. The team is nyc-based and in office 3-4 days per week Fully covered health, dental, and vision insurance 401k and generous pto policy Dog-friendly office Please note: courted is unable to provide visa sponsorship at this time. candidates must be authorized to work in the united states without sponsorship.
Languages
- English
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