data
Posted Apr 9Senior Data Engineer
United StatesRemote
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
- Write specifications before writing code—defining contracts, schemas, and expected behaviors upfront
- Establish data quality frameworks and observability across the pipeline
- Optimize for performance, cost, and reliability at scale
Requirements
- 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
- Primary Database: Postgres
- Languages: Python, TypeScript
- Infrastructure: Azure, event-driven architecture
- Use AI-assisted coding tools daily to accelerate development and reduce toil
- experience in data engineering, analytics engineering, or related roles
- 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
- Experience with real-time analytics and sub-second query requirements
- Familiarity with data contracts, schema registries, and data mesh principles
- Background working in cross-functional product teams Skills
Experience
- Qualifications 5+ years of
Benefits
- SERHANT. does not charge any application, processing, or training fee at any stage of the recruiting or hiring process.
- 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.
Contact
- 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.
Additional details
- 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.
- Partner with product and engineering to define data models that serve both analytical and operational needs
- *The company reserves the right to add or change duties at any time.
- Deep expertise with ClickHouse - deployment, optimization, schema design, and materialized views Strong
- A spec-first mindset - you document what you’re building before you build it •
- 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 Hiring Statement