Top Data Engineer Jobs

As a Low-Latency Rust Data Engineer, you will develop and maintain high-performance data pipelines, integrate exchange data, and support trading teams with efficient data architecture in a fast-paced trading environment.

The Data Integration Specialist will work with clients to onboard their data to Enterra solutions, validate data processes, and communicate requirements. Responsibilities include mapping data, addressing gaps, conducting initial data wrangling, and testing solutions. The role emphasizes collaboration with data engineers and understanding client data needs.

The Data Structuring Specialist will structure and ingest customer datasets for the Uncountable Web Platform. This role involves manual data cleaning and utilizing data management skills to support the analysis needs of scientists working with chemical and material experiments.

The Sr. Data Architect oversees the architecture for large-scale projects, offering technology solutions to meet business needs. They lead the analysis of IT trends, define architectural standards, and provide mentoring and guidance to teams. Responsibilities include risk mitigation, collaboration across departments, and ensuring alignment with business strategies to drive continuous improvement.

As a Senior Data Engineer, you will provide technical leadership, design and implement data architecture and pipelines, manage data quality, and lead a team while working with various data sources and business stakeholders to enhance analytical capabilities.

The Data Engineer will collaborate with customers to understand their data management strategies, implement and optimize data solutions, design data architectures, and contribute to advanced analytics and machine learning implementations using AWS and IBM services. The role includes driving innovation and documenting data flows.

The Staff Machine Learning Engineer will develop and fine-tune machine learning models, apply statistical techniques to analyze unstructured data, utilize pre-trained language models, optimize models for production, monitor performance, and work with teams to enhance product features and solutions.