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Senior Data Engineer builds and operates pipelines to migrate decades of legacy banking data into Constantinople’s AI-native banking platform using Snowflake, Python, and AWS.
Builds and optimizes data pipelines and warehouses using AWS services, Teradata, and PySpark for a telecom-focused enterprise platform.
Build and maintain scalable data pipelines on AWS and Databricks using Python, PySpark, and SQL to deliver reliable, high-quality data for analytics and decision-making.
Build low-latency, full-stack systems for a global OTC options pricing and trading platform, collaborating with traders and researchers.
Build and maintain data pipelines and platforms in Python/SQL to make data reliable and accessible for teams, using tools like Airflow, Spark, and Snowflake.
Build and maintain PRYPCO’s data platform, designing reliable pipelines and tools to make data accessible for teams using Python, SQL, Airflow, Spark, and Snowflake.
Build and maintain cloud-based data pipelines for batch and streaming analytics, using Python, SQL, Kafka, Airflow, and GCP/AWS services to power business insights and ML at a fast-growing Q-commerce platform.
Build and maintain Python-based data pipelines in Prefect to ingest API and telemetry data into PostgreSQL, automate reporting, and improve the energy-infrastructure data platform.
Build and maintain reliable data pipelines for a global fintech, powering trading decisions, compliance, and AI systems with real-time accuracy and governance.
Build and own the cloud infrastructure and MLOps platform for a regulated fintech firm’s AI trading systems on AWS, including Kubernetes, CI/CD, and model deployment pipelines.
Build and automate a SQL Server data warehouse for a bank, reverse-engineering legacy reports into modern pipelines while collaborating with business teams.
Research & Development Full Time Toronto, ON Hybrid Toronto or Kitchener/Waterloo, Canada (Hybrid) Insurance depends on many systems that do not yet connect cleanly. Where carrier APIs exist, DataBraid can…
Lead a small team to build and scale WeRoad’s data platform, writing code and setting architecture for BigQuery, dbt, and real-time pipelines that turn raw travel data into trusted insights for stakeholders.
Leads AI agent design, testing, and deployment for a financial group, focusing on robust, safe workflows and LLM evaluation in Python and Azure.
Design and build scalable data pipelines, warehouses, and AI-driven automation for a mobility-focused tech company using Python, Airflow, dbt, and cloud platforms.
Designs and maintains ETL/ELT pipelines and data warehouses for e-commerce and enterprise systems using Informatica, DBT, Redshift, and PostgreSQL.
Build and maintain scalable data pipelines and warehouses to power analytics and ML for a social-media company.
Designs and maintains scalable cloud data pipelines and warehouses using SQL, Python, and cloud platforms to enable reliable analytics and business insights.
Build and maintain scalable data pipelines and warehouses for analytics and ML using Python, SQL, Spark, and cloud tools.
Builds AI-powered interfaces for Eureka Materials, focusing on React/Vue frontends, data visualizations, and lightweight Node.js/Python backends to deliver AI Agent features and material-search workflows.
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