Senior Data Engineer
Core
Design, build, and maintain scalable data pipelines and ML infrastructure on Databricks, transitioning predictive models into production for global money movement products.
Role type
Senior IC Data & ML Engineer
Builds
Data pipelines, data marts, MLOps infrastructure, and production ML serving architectures
Domain
Fintech / Payments / Data Engineering
Deliverable
production ML models
Required skills
Python, SQL, PySpark/Spark, Databricks (Delta Lake, Unity Catalog, MLflow), Data Modeling, MLOps, Stakeholder Management, BI Tools
Preferred skills
Infrastructure as Code (Terraform/Tofu), Cloud Platforms (AWS, Azure, GCP), CI/CD, Mentoring, AI Tools
Technologies
Databricks, Python, PySpark, SQL, MLflow, Terraform, AWS, Azure, GCP, Preset, Tableau, Metabase, Power BI
Responsibilities
Design and maintain data pipelines and transformations; Deploy and monitor ML models in production; Build and maintain data marts; Implement data quality checks and monitoring; Lead engineering standards and process improvements; Act as primary data partner for business areas.
Seniority
Senior, hands-on IC