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We are seeking a skilled, self-driven Data Engineer to strengthen our data platform and improve overall data quality, reliability, and usability for customers and internal stakeholders. This role is critical to building and maintaining scalable data pipelines, well-structured data models, and analytics-ready systems. The ideal candidate has startup experience, enjoys building systems from scratch, and takes ownership end-to-end.
Job Responsibility:
Design, build, and maintain scalable data pipelines and ETL workflows to support analytics and product use cases
Develop and manage data warehousing solutions using platforms like Snowflake, Redshift, or ClickHouse
Ensure data quality, consistency, and reliability across all data sources and downstream systems
Collaborate closely with product, analytics, and engineering teams to understand data requirements
Build and optimize data models for reporting, dashboards, and analytics
Support and enable BI tools such as Power BI, Tableau, or Metabase
Monitor pipelines, troubleshoot issues, and continuously improve performance
Document data workflows, schemas, and processes for clarity and maintainability
Requirements:
Strong proficiency in SQL
Experience with data warehousing platforms (i.e. Snowflake, Redshift, ClickHouse)
Hands-on experience with ETL orchestration tools (i.e. Airflow, dbt, Dagster)
Experience with dashboarding tools (Power BI, Tableau, Metabase)
Strong programming skills in Python
AWS experience is preferred
Self-starter mindset with startup experience
Strong problem-solving abilities
Highly organized with a systems-thinking approach
Ownership-driven and accountable
Clear and effective communicator
What we offer:
Opportunity to build and shape core data infrastructure