Data Engineer
Core
Design, build, and operate cloud-native data warehouses and ELT/ETL pipelines for international clients in the US, laying the foundation for future AI/LLM integrations.
Role type
Senior IC Data Engineer
Builds
Cloud-native data warehouses, robust ELT/ETL pipelines, scalable data models for reporting and BI
Domain
Financial services, Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Advanced SQL, Python, Cloud Infrastructure (Azure/AWS/GCP), Data Orchestration (Airflow/dbt/Dagster), Data Modeling, BI Tools (Power BI/Looker/Tableau), Executive Stakeholder Management
Preferred skills
Microsoft Fabric, Experience building data warehouses from zero to production
Technologies
Azure Data Factory, Synapse, Fabric, BigQuery, Snowflake, Databricks, Power BI, Airflow, dbt, Dagster
Responsibilities
Design and build end-to-end cloud-native data warehouses; Develop and maintain ELT/ETL pipelines integrating internal and third-party systems; Create scalable data models for reporting, BI, and AI/ML initiatives; Implement data quality, governance, and security practices; Collaborate with C-suite stakeholders to translate business requirements into technical architecture; Optimize query and pipeline performance for efficiency and cost control
Seniority
Senior, hands-on IC
