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Staff Data Engineer builds and governs scalable data systems (Snowflake, Postgres, Kafka) to power TCGplayer’s marketplace, ensuring reliable, secure, and well-tested data flows across warehouse and application platforms.
Builds and maintains data pipelines and mapping infrastructure to improve ride-hailing ETA accuracy and pickup precision using Python and Go.
Build and maintain scalable data pipelines and warehouses to power Amazon Business’s B2B supply chain analytics and ML models.
Leads the data engineering team to build scalable pipelines and data infrastructure for payments, risk, and product analytics using Iceberg, Kafka, Flink, Spark, Airflow, and AWS.
Build and maintain ELT pipelines and data models for a cloud platform serving tours & attractions, using SQL, Python, and cloud data tools.
Principal Data Engineer designs and builds scalable data pipelines and cloud solutions on Azure and Databricks to transform raw data into insights for a Canadian wealth-management fintech.
Builds Azure pipelines to ingest and move data from on-prem systems like mainframes and SQL Server into cloud storage and analytics tools using Python, SQL, and orchestration platforms.
Principal Data Engineer designs and builds scalable cloud data pipelines using Snowflake, Databricks, and AWS, while integrating AI agents for automated data quality and transformation workflows.
Senior Data Engineer builds and maintains ETL pipelines, schedules jobs, and reviews code for robust data solutions in a consulting context.
Lead a team to build and maintain real-time and batch data pipelines that integrate enterprise applications using MuleSoft and Informatica, ensuring data consistency across retail systems.
Design and maintain scalable ETL pipelines on GCP using Spark Serverless, Spark on GKE, and Python, with BigQuery, CloudSQL, and Pub/Sub for data processing and governance.
Principal Data Engineer designs and maintains self-hosted data infrastructure, optimizes PostgreSQL/MongoDB systems, and builds scalable ETL pipelines for a game developer.
Design data models and pipelines for AI workloads, implement MLOps automation, and deploy scalable batch/streaming systems to support agentic workflows.
Lead a team building and scaling Azure Data Factory and Databricks pipelines in Brampton, handling ingestion, transformation, and loading while ensuring data quality and security.
Build and own Jane’s customer data infrastructure from the ground up, designing event pipelines, schemas, and identity resolution to power reliable analytics and marketing decisions across clinics and practitioners.
Builds full-stack web apps, automates workflows, and designs data pipelines for a public-health research center using Python, SQL Server, Power Platform, and AI tools.
Build and orchestrate enterprise-grade AI agents using LLMs on Azure to automate workflows and drive operational efficiency in a large bank.
Leads data pipelines and platforms for payments, risk, and analytics using Iceberg, Kafka, Flink, Spark, and Airflow on AWS.
Lead data engineering initiatives to build scalable, trustworthy data pipelines and ML-enabled systems for payments, risk, and analytics at Stripe.
Senior Data Engineer builds and maintains Databricks pipelines for an AI-driven CRM platform, optimizing data flows, costs, and reliability to power global revenue intelligence from ERP/CRM sources.
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