Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Principal Data Engineer
- Pay
USD 180,000/year · BaseAnnual period assumed. Location-specific pay — pay source
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
Read the full posting- Work setting
RemoteLocation limits apply — work setting source
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
Listed location: Remote, USA
Read the full posting- Employment
- Not stated
Before you apply
- Work authorization
- Must already have the right to work
At this time, we are not able to offer H-1B visa or any other work authorization sponsorship
- Eligibility
Candidates must live within the United States. — eligibility source
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.
Read the full posting
What you’ll work on
Full postingWe’re looking for a Principal Data Engineer who builds data infrastructure with velocity and precision.
Infrastructure: Azure, event-driven architecture
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.
Design and implement lakehouse architecture using open-source technologies
Optimize for performance, cost, and reliability at scale
From the employer’s posting
We’re looking for a Principal 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.
Infrastructure: Azure, event-driven architecture
About the Role We’re looking for a Principal 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
Responsibilities Design and implement lakehouse architecture using open-source technologies Build and optimize ClickHouse deployments for high-performance analytical workloads
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.
What you’ll bring
All qualificationsCore experience
- 5+ years of experience in data engineering, analytics engineering, or related roles
- Experience using LLMs for data transformation, validation, or pipeline generation
- Deep expertise with ClickHouse - deployment, optimization, schema design, and materialized views
- Experience with real-time analytics and sub-second query requirements
- Strong experience with Postgres and understanding of when to leverage transactional vs.
- Familiarity with data contracts, schema registries, and data mesh principles
Qualification wording
5+ years of experience in data engineering, analytics engineering, or related roles
Experience using LLMs for data transformation, validation, or pipeline generation
Deep expertise with ClickHouse - deployment, optimization, schema design, and materialized views
Experience with real-time analytics and sub-second query requirements
Strong experience with Postgres and understanding of when to leverage transactional vs. analytical databases
Familiarity with data contracts, schema registries, and data mesh principles
About 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.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 23, 202613 days ago
- Recorded sightings
- 15
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 13
Similar jobs usually come down between day 6 and day 54.
From 11,035 similar postings that came down. Coming down is not always a hire.
Serhant is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- TypeScript
- Azure
- ClickHouse
- dbt
- Delta Lake
- Iceberg
- Kafka
- Prefect
- Spark
- Airflow
- Dagster
- PostgreSQL
Where the posting names them
• Primary Database: Postgres • Languages: Python, TypeScript • Infrastructure: Azure, event-driven architecture
• 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
• 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
• Languages: Python, TypeScript • Infrastructure: Azure, event-driven architecture Responsibilities
About the Role We’re looking for a Principal 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
Our Stack • Analytics Database: ClickHouse • Primary Database: Postgres
• 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
• 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
• 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 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)
• 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
• Analytics Database: ClickHouse • Primary Database: Postgres • Languages: Python, TypeScript
• 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)
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has Serhant posted this job before?
Yes. We’ve followed one other Principal Data Engineer job there since June 2026. It is still up.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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 Principal 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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
- Location & working pattern
Remote, USA
Principal Data Engineer Remote, USA About SERHANT.
More source context
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
More relevant text appears in the full description.
- Work authorization
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.