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Role: Data Engineer (Power BI and Azure) Location: Raleigh, NC - Hybrid Key Responsibilities: Analyze source systems and design, develop, and maintain scalable ETL/ELT pipelines using Azure Synapse, Azure Data Factory,…
Data Engineer building and maintaining ETL pipelines, data ingestion, and transformation tools for US federal government clients using SQL, Python, Java, and various database technologies.
Designs and maintains secure, automated CI/CD pipelines for AI/ML and analytics tools using Kubernetes, Docker, and DevOps tooling in a mission-focused environment.
Designs and maintains scalable data pipelines and models for BEES, a digital platform under AB InBev, using cloud services, Python, PySpark, and SQL to support analytics and business decisions.
Designs and builds data pipelines to power a B2B e-commerce personalization engine for a global brewer’s tech division, using cloud data tools and SQL.
Overview We are looking for an AdTech Clean Room Senior Software Engineer to join Microsoft's AdTech Engineering organization. This role will be responsible for designing, building, securing, and operating the…
Lead a data engineering team in Monterrey to design and optimize scalable AWS-based data platforms, focusing on data ingestion, transformation, quality, and governance using Python and API development.
Publicis Sapient is hiring a Senior Data Engineer to design and modernize enterprise-scale data platforms using cloud-native technologies. The role involves hands-on engineering and technical leadership in data ingestion, lakehouse architecture, and governance.
Build and maintain the data infrastructure platform at a fintech company, deploying tools like Airflow and Flink and managing AWS storage services such as DynamoDB and RDS.
Designs and builds the end-to-end BI and analytics stack—from data ingestion to Power BI reports and conversational AI—so business users can ask natural-language questions and get trustworthy answers.
Develop and maintain a scientific data catalogue on the SciCat platform, customize data ingestion processes, and deploy software on instruments at ILL in Grenoble as part of a European data management project.
If you're ready to join a team of talented developers, you belong here. We are seeking Data Engineers to join our Software + Solutions Developer team and work with subject matter experts to develop, construct, and…
Administer, configure, and support the LabVantage LIMS platform (LES, SDMS, instrument integrations, lab automation) in a regulated biotech environment, partnering with QC, QA, and IT stakeholders.
Come and join one of the UK’s largest providers in complex care. We proudly employ over 4000+ people - no matter what your experience, we have jobs for everyone. We are looking for a Data Engineer to join our small…
This role involves deploying and integrating AI-driven cybersecurity agents into complex enterprise environments. The engineer will work directly with customers to manage data pipelines, customize agent workflows, and translate field feedback into platform improvements.
The Staff Machine Learning Engineer will lead the development of Edge AI models for in-vehicle health monitoring and failure prediction. The role involves owning the end-to-end ML pipeline, including model training, optimization for resource-constrained devices, and deployment using technologies like PyTorch, TensorFlow, and C++.
The Senior Staff Machine Learning Engineer will lead the development and deployment of Edge AI models for in-vehicle health monitoring and failure prediction. This role involves managing the end-to-end ML pipeline, including model training, optimization for resource-constrained devices, and integration with vehicle systems.
- Build Power BI reports and dashboards - Build data ingestion and analytical pipelines - Build medallion architecture - Create data quality frameworks - Design and maintain Databricks data pipelines - Develop and…
This role involves building and maintaining automated quality-control frameworks for data pipelines and cloud-based analytics platforms within a financial services environment. The engineer will utilize Python, Selenium, PyTest, Azure Databricks, and Spark SQL to perform data validation and API testing.
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