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Member of Technical Staff - Machine Learning Infrastructure Engineer
Build and scale ML infrastructure for post-training research on large language models, including compute, scheduling, and evaluation systems using PyTorch/JAX and cloud platforms.
Technology Manager - Marketing Activations (Customer Data Platform, Campaign Activation) | Cont[...]
Lead the global rollout of a customer data platform (CDP) and marketing automation stack to power personalized email, push, SMS, and paid social campaigns across regions.
AI & Analytics Engineer in Calgary
Build reporting data pipelines and deploy AI agents using LLM APIs to automate business processes and improve efficiencies.
Lead Data Engineer
Lead a team to build and maintain scalable data pipelines, feature stores, and MLOps workflows for AI-driven credit underwriting at a major bank, using Python, PySpark, and cloud platforms.
Data Analytics & Engineering Intern, Performance Analytics
Build and maintain data pipelines, analytics engines, and visualization tools to track financial performance using Python, SQL, and cloud infrastructure.
Senior Big Data Platform Engineer
Design and optimize large-scale data pipelines using Hadoop and streaming tech, with a focus on secure governance and Linux/Python scripting for payments or trading systems.
Data Engineer-Python ,SQL,LLM,NLP
Build and maintain scalable data pipelines and AI/ML systems, focusing on NLP, LLMs, and generative AI to support data-driven decisions and model evaluation.
Fabric Implementation Engineer: Data Pipelines & Power BI
ICON OUTSOURCING is seeking a senior Data Engineer to design and implement scalable data platforms using Microsoft Fabric, OneLake, and Lakehouse architectures. You will build hybrid data pipelines spanning on-prem SQL…
Senior ML Engineer: LLMs, Data Pipelines & Production AI
Leads LLM/NLP model development and builds production-grade AI systems with robust data pipelines for Earth data solutions.
Senior Analytics & Data Engineering Specialist
Design and implement data pipelines, integrate datasets, and build dashboards using SQL, Python, PySpark, and ETL tools to deliver analytics solutions.
Senior Data Engineer - Cloud ETL & Data Platforms
Designs, builds, and optimizes scalable cloud data pipelines and warehouses using SQL, Python, and AWS/Azure/GCP for reliable analytics and reporting.
Senior Data Engineer & Architect — Lead & Build Pipelines
Design and build scalable data pipelines and architectures using SQL, Python, Hadoop, and Spark to deliver business insights in a fast-paced AI company.
Senior Data Engineer: Automate & Scale AI Pipelines on AWS
Design and maintain scalable data pipelines for AI workloads on AWS and Databricks, automating ETL/ELT workflows and optimizing lakehouse/warehouse architectures.
Senior Data Engineering Consultant - Pipelines & ETL
Designs and deploys scalable data pipelines, ETL workflows, and APIs in an Agile CI/CD environment, focusing on data warehouses, lakes, and governance.
Senior Consultant-Data Engineer
Designs and builds scalable data pipelines and architectures using SQL, Python, and big data tools like Hadoop and Spark to support business analytics and insights.
Senior Data Engineer: Cloud Pipelines & Data Governance
Senior Data Engineer builds and maintains scalable cloud data pipelines across AWS, Azure, and GCP, focusing on ETL, data quality, governance, and warehouse access for an HR agency.
Reporting & Analytics Developer / Data Engineer
Build and maintain data pipelines, ETL jobs, and reporting dashboards using Cloudera, SQL, Python, PySpark, and Tableau.
Senior Data Engineer – Engineering
Builds and maintains scalable data pipelines, warehouses, and APIs to extract, transform, and integrate data across systems, ensuring accuracy and compliance while collaborating with cross-functional teams in an Agile environment.
Associate Data Engineer
Build and maintain cloud-based data pipelines on AWS and Databricks, ensuring high uptime and performance while optimizing costs and implementing robust monitoring and incident response.
T&T Consultant – Engineering, Data Engineer
Build and maintain scalable data pipelines, ETL processes, and data warehouses using cloud tools like AWS and Python, while collaborating with cross-functional teams to deliver data-driven products.