Serhant Logo

Serhant

Senior Data Engineer

Reposted 24 Days Ago
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
The Senior Data Engineer will design and implement lakehouse architectures, optimize ClickHouse deployments, develop ETL/ELT pipelines, and create data models to support analytical and operational functions.
The summary above was generated by AI
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 $170,000.00 USD.

Your Location

This position is remote eligible. The role may include occasional work at a SERHANT. office or attendance at offsites, as agreed to with your manager. While the position is remote eligible, you 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.

Similar Jobs

4 Days Ago
Remote or Hybrid
92K-164K Annually
Senior level
92K-164K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Senior Data Engineer designs and builds scalable data pipelines, optimizes ETL/ELT workflows, resolves data quality issues, and collaborates with stakeholders for healthcare data integration.
Top Skills: Azure Data FactoryFhirGitGo-AnywhereHl7NcpdpPowershellPythonSnowflake Sql
9 Days Ago
Remote or Hybrid
160K-160K Annually
Senior level
160K-160K Annually
Senior level
Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
The Senior Data Engineer develops ETL/ELT pipelines and data solutions for lab operations, focusing on collaboration and continuous improvement in data processing.
Top Skills: AirflowAWSAzureGitGitPandasPower BIPythonSparkSQL
17 Days Ago
In-Office or Remote
90K-119K Annually
Senior level
90K-119K Annually
Senior level
Software
The Senior Data Engineer will design and implement data architecture, manage production data pipelines, lead projects, and ensure quality and documentation while supporting progressive politics through data-driven solutions.
Top Skills: AirflowBigQueryDagsterDbtGoogle Cloud PlatformPythonSQL

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account