Opportunity Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list. Find me work
dataroles

Principal Data Engineer

serhant Open · verified Oct 24, 2026
Remote United States Senior Data Engineering

At a glance

Senior Data Engineering role at serhant. Remote, United States · $180,000 base.

SalaryStated by serhant
$180,000
Base salary for this role, in USD per year, as published in the posting.
RoleData Engineering
SenioritySenior
LocationUnited States
WorkplaceRemote
Base pay$180,000
PostedFeb 10, 2026 · 8mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build open-source lakehouse infrastructure and tune ClickHouse for demanding analytical queries
  • Create ETL/ELT flows and data transformations, then connect Postgres application data to ClickHouse analytics
  • Work with product and engineering to shape models for operational and analytical use
  • Write specifications for schemas and expected behavior before coding, and use AI coding assistants in daily work
  • Set up pipeline quality checks and observability, while improving performance, cost and reliability

What you bring

  • At least five years in data engineering, analytics engineering or a related role
  • Deep ClickHouse experience covering deployment, performance tuning, schema design and materialized views
  • Strong Postgres, SQL and Python skills, plus TypeScript for application integrations
  • Experience with lakehouse patterns and open-source pipeline tools such as Airflow, Dagster or another listed tool
  • Hands-on background with batch and streaming frameworks, and daily use of AI coding assistants

Who this fits

This suits a self-directed senior engineer who can make progress through ambiguity and document designs before building. You must live in the United States and already have work authorization that will not require sponsorship. The role is remote, with occasional office visits or offsites as agreed with your manager.

From the employer

Principal Data Engineer

Remote, USA

About SERHANT.

SERHANT. is the most followed real estate brand in the world, calibrated for the marketplace of tomorrow, delivering proven results for buyers, sellers, and developers. SERHANT. revolutionizes the traditional brokerage model by innovating through media and content creation and is powered by a full-service in-house film studio as well as an amplification platform that puts our properties in front of more people than anyone else.

About the Role

We’re looking for a Senior Data Engineer who builds data infrastructure with velocity and precision. You’ll design pipelines, architect lakehouse solutions, and create the foundation that powers our products—leveraging modern AI tools to move faster without sacrificing quality. You bring deep experience with ClickHouse, open-source data tooling, and modern lakehouse patterns.

Our Stack

• Analytics Database: ClickHouse • Primary Database: Postgres • Languages: Python, TypeScript • Infrastructure: Azure, event-driven architecture

Responsibilities

• 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 well-supported open-source tools • Create data models that bridge our Postgres application databases with ClickHouse analytics layer • Partner with product and engineering to define data models that serve both analytical and operational needs • Write specifications before writing code—defining contracts, schemas, and expected behaviors upfront • Use AI-assisted coding tools daily to accelerate development and reduce toil • Establish data quality frameworks and observability across the pipeline • Optimize for performance, cost, and reliability at scale • *The company reserves the right to add or change duties at any time.

Qualifications

• 5+ years of experience in data engineering, analytics engineering, or related roles • Deep expertise with ClickHouse - deployment, optimization, schema design, and materialized views • Strong experience with Postgres and understanding of when to leverage transactional vs. analytical databases • Strong experience with lakehouse architecture patterns (Delta Lake, Apache Iceberg, Apache Hudi) • Proficiency building ETL/ELT pipelines with open-source tools (Airflow, Dagster, dbt, Prefect, or similar) • Hands-on experience with streaming and batch processing frameworks (Kafka, Flink, Spark) • Strong SQL and deep proficiency in Python • TypeScript proficiency for integration with application services • Demonstrated fluency with AI coding assistants (Cursor, Copilot, Claude, etc.) as part of your daily workflow • Experience using LLMs for data transformation, validation, or pipeline generation • A spec-first mindset - you document what you’re building before you build it • 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

Skills

• Relentlessly curious - you dig into new tools and technologies before they have comprehensive documentation • High agency - you don’t wait for permission or detailed instructions; you figure things out and drive forward • Comfortable with ambiguity - you can pick up bleeding-edge LLM tools and make them productive without hand-holding • Self-directed - you identify what needs to be done and do it

Compensation

Actual compensation within the pay range listed below will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location.

The national base pay range for this position within the United States is $180,000.00 USD.

Your Location

This position is remote eligible for candidates based in the United States. The role may include occasional work at additional SERHANT. offices or attendance at offsites, as agreed to with your manager. Candidates must live within the United States.

Hiring Statement

SERHANT. is committed to providing a workplace free from discrimination or harassment. We expect every member of the SERHANT. community to do their part to cultivate and maintain an environment where everyone has the opportunity to feel included and is afforded the respect and dignity they deserve.

Decisions related to hiring, compensating, training, evaluating performance, or terminating are made fairly, and we provide equal employment opportunities to all qualified candidates and staff. We examine our unconscious biases and take responsibility for always striving to create an inclusive environment that makes every employee and candidate feel welcome.

Recruiting Fraud Notice

Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to prompt you to pay a fee for services related to recruitment or training.

SERHANT. does not charge any application, processing, or training fee at any stage of the recruiting or hiring process. All genuine job openings will be posted here on on our Careers page or Linkedin, and all communications from the SERHANT. recruiting team and/or hiring managers will be from an @serhant.com email address.

Visa Sponsorship Notice

Thank you for your interest in working with us! At this time, we are not able to offer H-1B visa or any other work authorization sponsorship. To be considered for any of our open roles, candidates must be currently authorized to work in the United States without the need for sponsorship now or in the future.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data EngineeringRemote$180k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.