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Senior Data AI Engineer / MLOps Engineer – Productivización de Soluciones de IA
Senior Data & AI Engineer / MLOps Engineer productivizing AI solutions, responsible for ML model lifecycle, data pipelines, and production deployment using Python, PySpark, SQL, AWS, Docker, Kubernetes, CI/CD, Git, and MLflow.
Consultor Data Engineering
Freelance Data Engineering consultant for an international project, responsible for designing and maintaining cloud data pipelines using AWS, PySpark, Python, SQL, Airflow, Docker, and ECS.
Senior data Engineer (M/F)
Senior Data Engineer building scalable data pipelines on Azure, implementing storage/processing solutions, automating ingestion/transformation, and ensuring data quality. Core technologies include Azure, Azure Databricks, Azure Data Factory, Python, Apache Spark, and SQL.
Azure Data Engineer - Inglés Avanzado
Designs and maintains ETL workflows in Azure Data Factory, migrating and transforming data between systems with a focus on quality and business value.
Data Engineer
Build and optimize large-scale data pipelines on AWS using PySpark, Kafka, and Spark Streaming to process and transform high-volume datasets in real time.
Data Engineer (Fabric) - Remoto
Design and implement data pipelines and architecture in Microsoft Fabric for a logistics client, focusing on data ingestion, transformation, and BI modeling using Spark, Python, and SQL.
Data Engineer (Fabric)
Data Engineer designing and implementing a Medallion architecture from scratch in Microsoft Fabric for a logistics client, building robust data pipelines with Spark, PySpark, and SQL.
Data Engineer
Data Engineer will develop ETL processes, data models, and analytics solutions using SQL, Python, PySpark, and Power BI. They'll manage the complete data lifecycle and collaborate with business areas to translate requirements into technical solutions for an insurance company.
Data Engineer
Builds and maintains scalable data pipelines and warehouses to ensure reliable, governed data for business intelligence and analytics, using Azure Databricks, Kafka, Spark, and SQL.
Data Engineer (PySpark)
The Data Engineer will design, build, and optimize scalable data pipelines using Python and PySpark. The role focuses on maintaining production-grade data systems, performing data transformation, and automating workflows with tools like Apache Airflow.
Data Engineer
The Data Engineer will build and maintain a real-time data platform and warehouse to power customer-facing analytics and ML models. The role involves designing data models, managing infrastructure, and collaborating with cross-functional teams using a stack including Databricks, dbt, and Python.
Software Engineer - Mid to Experienced Level (Maryland)
Develop high-impact national security systems using a broad tech stack including C/C++, Java, Python, AWS, and Kubernetes.
Lead Data Analyst
Lead Data Analyst partnering with clients to design marketing analytics strategies, build predictive/segmentation models, and translate multi-channel data into business outcomes using Python, R, SQL, and ML techniques.
Manager I, Data Scientist
Kroll is hiring a Data Science Manager to lead and grow our data science function within the Enterprise Data Group. This role sits at the intersection of technical leadership and strategic delivery — you will shape how…
Senior Data Scientist
Senior Data Scientist designs and deploys ML models (traditional, deep learning, NLP, LLM/GenAI) on Azure/Databricks to solve fintech risk and compliance challenges.
Data Scientist I
Builds and deploys ML models (traditional, NLP, GenAI) for fintech/government clients, focusing on data pipelines, feature engineering, and model monitoring in Databricks/Azure.
Client Support Engineer
We are Two Circles. We are a Sports & Entertainment Marketing business. We grow audiences and revenues. We do that by knowing fans best. We work with clients to help them understand & influence what their fans…
Azure Cloud Platform Engineer
Designs, deploys, and manages secure, scalable cloud infrastructure on Azure and AWS using Terraform, Kubernetes, and CI/CD pipelines, with a focus on data platforms and AI integrations.
Lead Data Engineer - Azure
Lead Azure-based data platforms for Rabobank, designing scalable pipelines, optimizing performance, and driving data-driven decisions with Azure services like Synapse, Databricks, and Fabric.