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Senior Back-end Engineer Scalable Data Systems
Designs and builds high-throughput, scalable back-end systems for a vulnerability management platform, focusing on ETL pipelines, RESTful APIs (FastAPI/SQLModel), and Kubernetes deployments to process billions of security events daily.
Cloud Data Platform Engineer | Azure, ML & Leadership
Designs and builds scalable cloud data platforms using Azure ML, Databricks, and Python, while leading DevOps for data pipelines and collaborating with internal teams.
Manager, Engineering and Data Platform
Lead a team to build scalable data platforms and AI-driven solutions using Power Platform, Power BI, MuleSoft, and Azure DevOps for a real-estate company.
Expert Data and AI Engineer Shaping Banking Technology
Build and deploy AI systems for banking, designing scalable data pipelines and MLOps workflows to transform financial operations with explainable models.
Full Stack Data Science Engineering Specialist
Build and deploy AI/ML models and analytics pipelines to drive business decisions in banking, using Python, PySpark, SQL, and cloud platforms like Azure.
Azure Data Migration Engineer Contract (1775)
Business Operations Manager at Direct IT Recruiting Inc., WBE Canada Certified NOTE: Hybrid work model, 3 days/week in Toronto, Ontario office. TYPE: 12-month contract SKILLS: 5+ Cloud Data Migration Engineer,…
Senior Java & Data Platform Engineer on Azure - Markets
Designs and builds large-scale data systems on Azure, optimizes SQL queries, and creates data pipelines for advanced analytics in capital markets.
Senior Data/ML Engineer — Databricks Forecasting Platform | Remote
Senior Data/ML Engineer to refactor and improve a live Databricks-based time-series forecasting platform, moving logic into reusable Python modules, adding testing and observability, and raising engineering standards.
Manager of Data Analytics and Engineering
Lead a team to build scalable data pipelines and analytics systems, transforming raw data into insights that guide business decisions and operational improvements.
Data Platform Engineering Manager
Lead a team to build and operate a Databricks-based data platform that ingests, transforms, and delivers enterprise technology data for analytics, reporting, and AI use cases in a large financial institution.
Senior Data Platform Engineer
Build and maintain a governed, AI-ready data lakehouse (Databricks/Snowflake) that unifies SAP, POS, IoT, and unstructured data for analytics, ML, and GenAI use cases.
Senior Data Platform Engineer
Build and scale a petabyte-scale data platform for real-time telematics APIs, focusing on streaming ingestion, lakehouse storage, and distributed tracing with Java, Kafka, and Spark.
Senior Data Platform Engineer
Lead the design and evolution of Helcim’s data platform, building scalable pipelines and MLOps/AI tooling to power payments analytics and AI systems.
Senior Data Platform Engineer
Design and own RAZR’s real-time/batch data pipelines using Debezium, Kafka, Flink, and Snowflake, then deliver analyst-ready datasets and dashboards.
Staff Data Platform Engineer
Build and scale a petabyte-scale data platform for real-time telematics APIs, focusing on streaming ingestion, lakehouse storage, and analytics using Java, Kafka, Flink, and Iceberg.
Lead Data Platform Engineer - HR Data Solutions
Designs and leads HR data platform architecture, builds scalable pipelines, and ensures governance in a financial services company’s regulated environment, working with Azure/AWS and on-prem systems.
Senior Data Platform Engineer
Designs and maintains scalable data pipelines and platforms using Python, Spark, SQL, and Microsoft Fabric (medallion architecture) to ingest, transform, and deliver data for business, analytics, and AI teams while applying DevOps and governance best practices.
Consultant - Data Analytics & Engineering
Build and deploy data pipelines, analytics dashboards, and ML models for clients, using SQL, Python, and cloud tools like Databricks and Power BI.
Data and Analytics Engineer
Build and optimize data pipelines, models, and dashboards using Snowflake, Databricks, and Power BI to deliver analytics and AI-driven insights for clients.