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Senior Data Engineer
Build and scale a big-data platform and analytics services (e.g., prediction-as-a-service) that power Mastercard’s payments-focused data products using Python/Scala, Spark, Hadoop, SQL and React.
Lead Software Engineer
Lead backend engineer building large-scale data pipelines and AI agents in Scala/Python/Java on Cloudera/Spark and AWS to power Mastercard’s global payments analytics and automation.
Senior Data Scientist
Build predictive models and analytics to optimize Mastercard’s pricing and interchange strategies using Python, SQL, and cloud platforms like Azure.
Senior Data Engineer
Build and maintain large-scale batch and real-time data pipelines using Spark, Kafka, and NiFi to power Mastercard’s global payments infrastructure.
Senior Software Engineer (Dev Platform)
Build and improve the internal developer platform that Iterable engineers use daily to build, test, deploy, and run services at scale using Scala, Bazel, Kubernetes, and CI/CD systems.
Senior Cloud Security Engineer
Design and implement cloud security architecture, automate security testing, and enforce DevSecOps practices for a customer engagement platform using AWS, Kubernetes, and Terraform.
Remote Backend Architect - Scalable Distributed Systems
Designs and reviews scalable backend services for distributed systems using Java/Go/Scala, focusing on performance, throughput, and observability.
Senior Platform Engineer
Senior Platform Engineer builds and improves backend systems in Python on AWS to scale Midnite’s sports-betting platform, focusing on reliability, service boundaries, and regional readiness for Canada.
Senior Big Data Engineer – Spark and Scala in Finance
Build and optimize a large-scale data platform for structured finance using Spark and Scala, processing terabytes of banking data to support analytics and digital transformation.
Java Full Stack Developer
Build and maintain full-stack applications using Java, Spring Boot, and React/Vue for a client in Toronto, focusing on scalable microservices and RESTful APIs.
AWS Data Engineer
Designs and builds AWS-based data lakes, warehouses, and ingestion pipelines using Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, and Athena; writes Python/SQL and scripts in Shell/Scala.
Data Engineer II
Designs and builds scalable data pipelines and platforms for a banking software provider, using Spark, Snowflake, Kafka, Airflow, and Kubernetes to power analytics and product features.