Data Engineer
Core
Designing, building, and maintaining scalable data pipelines and warehouse architectures to power business insights, product decisions, and marketing performance.
Role type
Mid-level data engineer
Builds
ETL/ELT pipelines, data warehouse layers (Staging, Core/Foundation, Business), and attribution models
Domain
AI-first business platform / Marketing analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL/ELT pipeline development, SQL transformations, data modeling (star schema, dimensional modeling), data warehouse architecture design, attribution model implementation, data quality assurance
Preferred skills
Marketing or growth data experience, dbt, Airflow, fast-paced startup environment adaptability
Technologies
BigQuery, Snowflake, Redshift
Responsibilities
Design and build ETL/ELT pipelines to move and transform data from various sources into the data warehouse; Develop and optimize data models to support analytics and business intelligence; Build and manage data warehouse layers; Implement scalable and efficient SQL transformations for large datasets; Collaborate with stakeholders to define data requirements and ensure data quality and integrity; Design and implement attribution models within the data warehouse
Seniority
Mid-level, hands-on IC
