Top Data Engineer Jobs

As a Data Science Consultant, you will work on data acquisition, model creation, and stakeholder presentations. You will analyze large data sets, build predictive models, collaborate with various teams, and propose solutions to business challenges.

The Senior Data Science Engineer will develop, test, and productionize machine learning models, optimize data delivery processes, and build infrastructure for data extraction and analysis. Responsibilities include model performance testing, algorithm improvements, and collaboration with cross-functional teams.

The Senior Cloud Database Administrator will manage mission-critical cloud databases, optimize performance, ensure availability, and collaborate closely with engineering and DevOps teams for database scalability and health. Responsibilities include monitoring databases, planning migrations, setting up automation, and providing 24/7 on-call support.

The Manager of Operations Technology Data Historian will maximize the value of the data historian system by developing standardization strategies, improving capabilities, and providing training. They will work closely with IT to ensure effective design, governance, and adoption, while managing system configurations and enhancements to support operational efficiency.

The Data Engineer will manage and optimize data solutions, processes, and database infrastructures, ensuring quality service performance. This role involves analyzing and delivering data for real-time and batch processing, building data pipelines, and implementing cloud data solutions in AWS and OCI.

The Data Management Analyst will help maintain a high-quality investment data environment, collaborate with teams to translate requirements into technical solutions, document business processes, run quality checks on data, and facilitate resolution of unexpected data results while promoting a positive work environment.

Seeking a Lead ML Engineer to join our ML team at S&P Global. Responsible for developing and managing machine learning models and data pipelines, collaborating with cross-functional teams, and optimizing generative AI models. Remote position.