Top Senior Level Data Engineer Jobs

As a Senior Data Engineer, you will design and implement solutions for data sharing and processing. You will improve data pipelines, ensure performance and monitoring, and develop self-service analytics capabilities while implementing best practices for data governance and security.

The role involves designing, developing, and implementing data management projects, coordinating with internal teams, and ensuring compliance with company standards. Responsibilities also include project reporting, technical documentation, and issue resolution related to mainframe systems and Visual Basic programs.

The Cloud Data Architect is responsible for creating data products from transactional and third-party data, improving existing systems, and collaborating with teams to build foundational data sets. The role requires experience in cloud data solutions, data warehousing, ETL tools, and big data technologies.

As a Senior ML/Research Scientist at NextSense, you will develop state-of-the-art wearable neurotechnologies, conduct innovative research, and apply machine learning and signal processing techniques to analyze biosignals and develop digital biomarkers for neurological conditions. You will collaborate with a team to translate research into practical applications and engage in writing scholarly publications.

The Senior Cloud Data Engineer will maintain a real-time data streaming platform using AWS services, design and implement data pipelines, manage cloud data targets, and craft SQL queries for data accuracy and efficiency. The role requires expertise in data engineering and cloud technologies to fulfill complex data needs.

The Planning/Experimentation Database Management Analyst will organize and present data for EXFOR operations, manage databases, ensure efficiency, provide administrative support for meetings, prepare briefs and reports using Microsoft Office, and facilitate information sharing across the SOF Enterprise.

The Data and Reporting Specialist IV will lead the implementation and enhancement of Data Catalog and Master Data Management systems, focusing on data governance. Responsibilities include consulting with stakeholders, creating business process flows, developing training materials, and ensuring data quality through strong collaboration with teams and data stewards.