Staff Data Engineer
Core
Design, build, and optimize cloud-native ELT pipelines and enterprise-scale data models to power reporting, analytics, operational intelligence, and AI applications for the payments ecosystem.
Role type
Staff Data Engineer (Payments/Fintech)
Builds
Scalable data products for payment analytics, merchant reporting, customer insights, financial reporting, fraud/risk analytics, and regulatory compliance.
Domain
Fintech / Payments / Financial Services
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Enterprise data modeling, Cloud data engineering, Dimensional modeling, SQL, Python, Snowflake, dbt, AWS, Data quality monitoring, CI/CD, Infrastructure as Code
Preferred skills
Apache Iceberg, Dataiku, Terraform/OpenTofu, AI/ML data product design, PCI DSS/SOC 2 governance, Semantic layer design
Technologies
AWS, MySQL, PostgreSQL, Fivetran, dbt, Snowflake, Looker, GitLab, Terraform, Monte Carlo, Datadog, RDS Database Insights, Airflow
Responsibilities
Lead design of scalable Bronze/Silver/Gold layer data models; Build and optimize high-volume incremental ELT pipelines; Partner with stakeholders to define trusted business metrics; Mentor engineers and drive technical standards; Optimize query performance and data lineage.
Seniority
Staff, technical leadership & mentorship