[Hiring] Sr. Data Engineer @Luxury Presence

Role Description

As a Sr. Data Engineer, you'll be a technical leader at the center of this transformation. You'll shape platform architecture, drive AI-powered product delivery, and raise 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 next-generation engineering organization looks like.

What You'll Do

• Build and scale high-throughput streaming pipelines.
• Design, implement, and operate pipelines ingesting 400M+ monthly MLS updates across 350+ integrations using Airflow, Spark Streaming, Kafka, and Iceberg—ensuring reliability, performance, and data correctness.
• Model and deliver high-quality, production-grade real estate datasets.
• Develop and maintain datasets that power core product experiences, with a focus on data modeling, transformation logic, and balancing freshness, accuracy, and cost.
• Strengthen data quality and observability.
• Implement and improve data quality checks, monitoring, and alerting to detect issues early and reduce downstream impact.
• Leverage AI to improve data operations.
• Contribute to AI-driven tooling that helps triage, debug, and resolve data quality issues, increasing team efficiency and reducing manual intervention.

Qualifications

• You already build with AI daily. You use Claude Code 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 decisions to customer outcomes and long-term business value.
• You communicate clearly and directly. You can explain complex tradeoffs to product, design, and executive stakeholders.
• You're energized by ambiguity and speed. You thrive in a fast-growing company where the roadmap evolves and ownership is real.
• 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.

Requirements

• 6+ years of professional data engineering or software engineering experience.
• Strong experience with distributed data processing and streaming systems (Spark / PySpark, Kafka).
• Proficiency in Python (Pydantic preferred) and familiarity with Node/TypeScript is a plus.
• Experience building and maintaining data pipelines on AWS using tools like Airflow, Spark Streaming, and Iceberg.
• Solid understanding of data modeling and working with large-scale datasets.
• Familiarity with event-driven systems and ingestion patterns (Kafka, SQS).
• Experience implementing data quality checks, monitoring, and debugging data issues.
• Interest in applying AI/ML or automation to improve data workflows is a plus.
• Proven track record leading high-impact initiatives from concept through production in a SaaS environment.
• Expert-level grasp of software design principles and experience with multi-tenant platform architectures.

Tech Stack

• Backend: Python, PySpark, Pydantic, Node/TypeScript
• Data: Iceberg, Postgres
• Infrastructure: AWS, Kubernetes, Airflow, Spark Streaming
• Messaging: Kafka, SQS

Benefits

• Competitive salary and equity options.
• Flexible work hours and remote work opportunities.
• Health, dental, and vision insurance.
• Generous vacation policy and paid holidays.
• Professional development opportunities.