Sr. Data Engineer - US (Remote)

Luxurypresence

Remote

Who this role is best for

Geared toward mid-level data engineers comfortable with AI-augmented development and high-throughput streaming pipelines in a remote US setting.

Best fit for

Engineers who integrate AI into daily coding workflows and system design.
— “already lives in their terminal with AI”
Technical leaders shaping platform architecture in AI-driven product delivery.
— “shape platform architecture, drive AI-powered product delivery”
Candidates with experience in large-scale data pipeline reliability and performance.
— “Build and scale high-throughput streaming pipelines”

Things to consider

Expect to work with AI agents for code writing and review.
— “engineers use AI agents to write, review, and ship production code”
Must handle data pipelines processing hundreds of millions of monthly updates.
— “pipelines ingesting 400M+ monthly MLS updates”

How to stand out

Demonstrate specific AI tooling contributions to data quality or operations.
— “Leverage AI to improve data operations”
Showcase hands-on experience with Airflow, Spark Streaming, Kafka, and Iceberg.
— “using Airflow, Spark Streaming, Kafka, and Iceberg”
Highlight prior work on data quality checks and observability systems.
— “Strengthen data quality and observability”

Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

build and scale high-throughput streaming pipelines
strengthen data quality and observability

Typical background

strong opinions about how AI changes system design

Skills & requirements

Required

High-throughput Streaming PipelinesData ModelingData Quality ChecksAi-driven Tooling

Preferred

AI Agents For Production Code

Stack & domain

AIAirflowSpark StreamingKafkaIceberg

About the role

Original posting from Luxurypresence via Lever

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company on track to hit $100M in annual recurring revenue in the next six months. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business.
The Opportunity
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 Anthropic tokens, our engineers use AI agents to write, review, and ship production code every day. We're building toward a world where humans design systems and AI builds them, and we're already further along that path than almost anyone else.
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.
What We're Looking For

Source: Luxurypresence careers (Lever)