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In-office AI/ML Engineer in Houston designing and deploying agentic AI systems, building ML pipelines, and leading data standardization using Python, TensorFlow/PyTorch/Scikit-learn, and cloud platforms (Azure, AWS, GCP).
This role involves building and maintaining a high-performance API for financial market data using Node.js, TypeScript, and OpenSearch. The engineer will focus on optimizing search queries, managing data ingestion pipelines, and ensuring system reliability through TDD and continuous delivery.
Builds and maintains ETL pipelines to transfer VA Behavioral Health Lab data into the VA Enterprise Cloud and Power BI, ensuring quality, compliance, and reporting for program monitoring.
The Data Engineer & AI Specialist will design and manage scalable data pipelines and AI models to support quality and manufacturing operations. The role involves using Python, SQL, cloud platforms, and Power BI to generate actionable insights and drive digital transformation.
The Senior Data Platform Engineer will design and manage an enterprise data platform using Microsoft Fabric to support analytics, AI, and BI initiatives. The role involves building data pipelines, ensuring data quality, and mentoring team members.
Design, build and operate an enterprise Lakehouse data platform on Microsoft Fabric, developing ETL/ELT pipelines and data ingestion from ERP, manufacturing and supply chain systems for a large Malaysian agrofood group.
Data Engineer at CARiNG Pharmacy designing and maintaining scalable data pipelines, ETL/ELT processes, and cloud-based data infrastructure (GCP/BigQuery) to support analytics and AI initiatives.
Builds and maintains data pipelines, migrating systems to a new framework while ensuring data quality, integrity, and reliability using Python, Java, Kafka, Airflow, and cloud storage solutions.
Hybrid Senior Data Engineer building MLOps and ETL pipelines on AWS, containerizing applications, and managing cloud infrastructure (CloudFormation, SageMaker, Lambda, S3) for a large insurance company.
The Data Engineer will design, build, and maintain scalable data pipelines, databases, and data warehouses to ensure reliable data access for analytics and business reporting. The role involves implementing ETL/ELT processes and optimizing data infrastructure using technologies like Python, SQL, Spark, and cloud platforms.
The Data Engineer will design, develop, and maintain robust data pipelines and ETL processes using Azure Synapse Analytics and Databricks. They will collaborate with cross-functional teams to build scalable data infrastructure and ensure data quality across the organization's data lakehouse.
This role involves configuring Microsoft Fabric platforms and building data ingestion and transformation pipelines for clients. The engineer will manage the full delivery lifecycle, including architecture design, governance, and knowledge transfer to client teams.
The Data Engineer will design, build, and maintain ETL pipelines, data warehouses, and data lakes to support analytics and ML workflows. The role requires proficiency in Python, SQL, and PowerBI to deliver scalable data solutions for the Oil & Gas sector.
As a Senior Backend Engineer, you will own the architecture and scalability of Altura's AI-powered tender spotting platform, focusing on data ingestion pipelines and third-party integrations. You will utilize agentic software development practices like spec-driven development to build robust, scalable backend services in a .NET/C# environment.
Job Purpose At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions…
Data Engineer Intern supporting client data transformation and marketing department projects using Big Data technologies like Hadoop, Spark, and Kafka in a consulting/agency setting.
Transform raw data into trustworthy datasets and Looker visualisations using SQL, dbt, and Snowflake, collaborating with analysts and engineers on a hybrid schedule in Barcelona or London.
The Senior Data Engineer will design, build, and maintain scalable cloud-based data pipelines and infrastructure on Google Cloud Platform to support media analytics and AI initiatives. The role involves collaborating with cross-functional teams to deliver data products while establishing engineering standards for the Swedish office.
This role involves building and supporting quality engineering practices for digital products, including designing test strategies, developing automated test suites, and integrating testing into CI/CD pipelines. The position focuses on ensuring the reliability and quality of Java-based and cloud applications through functional, API, and data pipeline testing.
The Software Engineer will design, develop, and maintain full-stack applications and backend services for government-facing digital products. The role involves working with Java, modern frontend frameworks, cloud infrastructure, and secure data pipelines to support scalable system integrations.
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