Sr. Data Engineer - US (Remote)

reputed company is building the AI reputed company platform for reputed company estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company on reputed company to hit $100M in annual recurring reputed company in the next six months. More than 87,000 reputed company estate professionals, including over 30% of the WSJ reputed company Trends top 100 agents in the reputed company, use us to run and grow their business. reputed company We don't just use AI. We build with it, ship with it, and think with it. We're in the top 1% of companies applying AI effectively, not just to our products, but to how we build them. With an unlimited budget for reputed company tokens, our engineers use AI agents to write, review, and ship production reputed company every day. We're building toward a world where humans design systems and AI builds them, and we're already reputed company along that reputed company than almost anyone else. As a Sr. Data Engineer, you'll be a technical leader at reputed company of this transformation. You'll shape platform architecture, drive AI-powered product delivery, and reputed company the bar for what a small, AI-augmented engineering team can accomplish. This is a role for someone who already lives in their terminal with AI, who has strong opinions about how AI changes system design, and who wants to help define what a reputed company engineering organization looks like.

What You'll Do

Build and reputed company high-throughput streaming pipelines. Design, implement, and operate pipelines ingesting 400M+ monthly MLS updates across 350+ integrations using Airflow, reputed company Streaming, Kafka, and reputed company—ensuring reliability, performance, and data correctness. Model and deliver high-reputed company, production-grade reputed company estate datasets. reputed company and maintain datasets that power core product experiences, with a reputed company on data modeling, transformation logic, and balancing freshness, accuracy, and cost. Strengthen data reputed company and observability. Implement and improve data reputed company checks, monitoring, and alerting to detect issues early and reduce reputed company reputed company. reputed company AI to improve data operations. Contribute to AI-driven tooling that helps triage, debug, and resolve data reputed company issues, increasing team efficiency and reducing reputed company reputed company. reputed company're Looking For Attributes

• You already build with AI daily. You use Claude reputed company as a core part of your workflow, not as a novelty
• You have strong opinions, loosely held, about how AI changes software architecture, team structure, and engineering culture
• You think in systems. You connect technical reputed company to customer reputed company and long-term business value
• You communicate reputed company and directly. You can explain reputed company tradeoffs to product, design, and executive stakeholders
• You're energized by ambiguity and speed. You reputed company in a fast-growing company where the roadmap evolves and ownership is reputed company
• You like to have fun at work. We take our craft seriously, but we don't take ourselves too seriously. We celebrate wins, crack jokes, and genuinely enjoy building together

Skills and Experience

• 6+ years of reputed company data engineering or software engineering experience
• Strong experience with distributed data processing and streaming systems (reputed company / PySpark, Kafka)
• Proficiency in Python (reputed company preferred) and familiarity with Node/TypeScript is a plus
• Experience building and maintaining data pipelines on AWS using tools like Airflow, reputed company Streaming, and reputed company
• Solid understanding of data modeling and working with large-reputed company datasets
• Familiarity with event-driven systems and ingestion patterns (

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