Principal Data Engineer

Job not on LinkedIn

🕒 October 22

🇺🇸 United States – Remote

💵 $180k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 1%

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SERHANT.

WebsiteLinkedInAll Job Openings

51 - 200 employees

📣 Marketing

💼 Consulting

🏨 Hospitality

Marketing • Consulting • Hospitality

SERHANT. is a full-service luxury real estate brokerage and global property brand that represents high-end residential and commercial listings, new developments, rentals, and private client services. The firm operates a large agent network and referral platform, provides marketing and creative services through an in‑house production studio, and builds technology and AI-powered tools (including the S. MPLE engine and ADX solutions) to support agents and clients. SERHANT. is active across many U. S. markets and positions itself as both a media-forward brand and a tech-enabled brokerage.

📋 Description

• Design and implement lakehouse architecture using open-source technologies • Build and optimize ClickHouse deployments for high-performance analytical workloads • Develop custom data transforms and ETL/ELT pipelines using open-source tools • Create data models bridging Postgres application databases with the ClickHouse analytics layer • Partner with product and engineering to define analytical and operational data models • Write specifications defining contracts, schemas, and expected behaviors before coding • Use AI-assisted coding tools daily to accelerate development and reduce toil • Establish data quality frameworks and pipeline observability • Optimize performance, cost, and reliability at scale • Duties may be added or changed by the company

🎯 Requirements

• 5+ years of experience in data engineering, analytics engineering, or related roles • Deep expertise with ClickHouse, including deployment, optimization, schema design, and materialized views • Strong experience with Postgres and transactional versus analytical database usage • Strong experience with lakehouse architecture patterns, including Delta Lake, Apache Iceberg, or Apache Hudi • Proficiency building ETL/ELT pipelines with open-source tools such as Airflow, Dagster, dbt, or Prefect • Hands-on experience with streaming and batch processing frameworks such as Kafka, Flink, or Spark • Strong SQL and deep proficiency in Python • TypeScript proficiency for application-service integration • Fluency with AI coding assistants such as Cursor, Copilot, or Claude • Experience using LLMs for data transformation, validation, or pipeline generation • Spec-first mindset and documentation before implementation • Experience with real-time analytics and sub-second query requirements • Familiarity with data contracts, schema registries, and data mesh principles • Contributions to open-source data projects • Background working in cross-functional product teams • Currently authorized to work in the United States without sponsorship now or in the future • Must live within the United States

🏖️ Benefits

• Remote eligibility for candidates based in the United States • Occasional work at additional SERHANT. offices or attendance at offsites, as agreed with the manager • Equal employment opportunities and an inclusive workplace • No application, processing, or training fees

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