SERHANT.

Senior Data Engineer

SERHANT.

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Senior

Tech Stack

AirflowApacheETLKafkaPostgresPythonSparkSQLTypeScript

About the role

  • 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

Requirements

  • 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
Benefits
  • Health insurance
  • Professional development opportunities
  • Flexible work hours
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
ClickHousePostgreslakehouse architectureETLELTSQLPythonTypeScriptstreaming processingbatch processing
Soft Skills
spec-first mindsetcollaborationdocumentationproblem-solvingcommunication