Top Hybrid Data Engineer Jobs
The Machine Learning Engineer will collaborate with research scientists and partner laboratories to develop and improve end-to-end ML pipelines for multimodal models. The role involves training and serving robot foundation models while enhancing data infrastructure and contributing to significant publications.
.png)
Lead a team of data scientists and engineers to develop innovative measurement products and data-driven solutions, ensure high-quality project delivery, and establish best practices for data science projects. Collaborate with multiple teams to enhance TV measurement and methodology while mentoring team members and advancing an inclusive culture.
The Principal Engineer will lead the Operations Analysis team to deliver analytical products guiding business strategy and product development. The role involves designing rigorous analyses, supporting requirements definitions and effectiveness studies for military operations, enhancing internal modeling and simulation capabilities, and presenting analytical findings to stakeholders.
Featured Jobs
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 Production and Data Specialist will oversee cultivation processes, manage inventory and sales data accuracy, generate reports for leadership, and support sales teams in customer account management. The role involves interdisciplinary collaboration to improve data management systems and processes regarding cannabis production and sales.
The Data Modeler will design, implement, and maintain data models, create reports and dashboards using analytics tools, collaborate with stakeholders, and ensure documentation and best practices are upheld. This role requires extensive experience in data modeling and analytics, particularly with Amazon Redshift, QuickSight, and Power BI, within the financial sector.
The Database Engineer will assist in the migration of on-prem databases to AWS and develop Infrastructure as Code (IaC) using Terraform and Gitlab. Responsibilities include performance tuning of Oracle databases, database environment monitoring, and collaborating on physical database design. The role involves independent work as well as teamwork within the financial services industry.
As a Senior Data Engineer, you will design and maintain scalable data pipelines, develop data warehouse architecture, and enable advanced analytics across the organization. You will collaborate closely with software engineers to ensure data quality, create data models, implement data governance, and develop data visualization tools, all while mentoring team members and establishing best practices.
As a Staff Data Engineer, you will drive data platform initiatives, design and optimize data architecture, and implement ETL/ELT processes for analytics and reporting, enhancing insights through machine learning and generative AI technologies.
The Senior Lead Data Analytics Platform Engineer will design and optimize a high-performance data analytics platform, focusing on scalable data systems and cloud-native architectures. Responsibilities include leading teams, optimizing data pipelines, ensuring data quality, implementing best practices in data governance, and driving innovation in data engineering processes.
The Sr. Director of Data Analytics will lead a team to develop data-driven analytic solutions that drive business growth, focusing on areas such as product planning, customer insights, and operations. The role involves consulting with stakeholders, creating dashboards, and improving analytics practices within the organization.
Top hybrid Companies Hiring Data + Analytics Roles
See All
.png)
All Filters
No Results
No Results
