70 total jobs
4 new jobs this week
As a Data Systems Engineer, you will design and maintain data integrations, develop metadata pipelines, and collaborate with stakeholders to enhance data governance and interoperability.
Job Title: Software Engineer II - DBE Location: Guadalajara, Mexico, Hybrid This is a hybrid opportunity and can be worked from in Guadalajara.
As a Data Engineer II, you will build and enhance data platforms and pipelines to support GolfNow and the Sports Next ecosystem, ensuring reliable and scalable data solutions.
Must possess DoD Top Secret, DHS EOD, CBP Full BI, or IT-I security clearance or have a current Single Scope Background Investigation (SSBI).
As a Data Engineer, you will work on diverse projects, focusing on data ingestion, storage, transformation, and visualization while collaborating with a team of experts.
As a Data Engineer, you will build and maintain data pipelines and infrastructure to support AI-driven information discovery for a federal financial regulatory agency.
As a Data Engineer, you'll build and maintain data pipelines, optimize data models, and support core data platform tools to ensure reliable and clean datasets.
As a Data Center Constructability Engineer, you will ensure the buildability of Modular Data Center designs, validate deployment methodologies, and create standardized construction playbooks for efficient execution.
As a Cribl Data Engineer, you will design and optimize cybersecurity data pipelines, manage data flows, and develop integrations to enhance security analytics.
As a Data Engineer, you will design and build data pipelines for machine learning, manage data workflows, and ensure the reliability and performance of data processing jobs.
The Experienced Data Consultant will consult with customers to address their data engineering needs, leveraging the latest technologies and methodologies to build data environments and pipelines.
The Data Engineer II will design, develop, and maintain corporate data platforms to enable insights into customer data using SQL and Python.
The CDP Data Engineer will configure data flows, manage datasets, and ensure high-quality data ingestion and identity resolution within Adobe's platforms to support marketing activation.
We are seeking a Data Engineer with AWS experience to work on stable projects, focusing on data analysis and orchestration using various technologies.
As a Data Engineer, you will build foundational infrastructure for AI, collaborating with top researchers and engineers to create impactful customer experiences.
As a MySQL Database Support Engineer, you will assist customers' DBA teams by investigating issues, providing detailed analyses, and contributing to the open-source community through blog posts and knowledge base articles.
The BS&P Operations Data & Process Improvement Engineer will manage KPIs for the Taiwan Business Unit, support budget processes, and lead decarbonization initiatives.
Design, develop, and maintain scalable data solutions to support healthcare operations and analytics in a collaborative remote environment.
Company Description Coface DataLab is recruiting junior and senior data scientists/ ML engineers to develop and deliver operational AI/ machine learning solutions for the company.
As a Data Engineer, you will design and maintain scalable data solutions, optimize data workflows, and collaborate with stakeholders to ensure data quality and security.
As a Data Engineer (HR Support), you'll solve complex data challenges, enhance data quality, and build scalable solutions in collaboration with HR and Finance teams across multiple countries.
As a Data Engineer, you will design and maintain scalable ETL/ELT pipelines, optimize data processing solutions, and support real-time data streaming applications for a high-traffic E-commerce platform.
As a Cloud Data Engineer, you will design and deliver cloud-based data solutions, working with an international team to meet diverse client needs.
As a Data Engineer, you will develop with Python and PySpark, focusing on maintenance, support, and evolution of client applications in Big Data environments within the banking sector.
