Top Hybrid Data Engineer Jobs

As a Machine Learning Engineering Manager, you will lead a team to implement MLOps practices, manage machine learning projects, mentor engineers, and oversee the development of ML pipelines. Collaboration with Data Science and Data Architecture teams is crucial to drive innovation and ensure best practices in machine learning.

As a Senior Data Science Engineer at DraftKings, you'll drive data science projects from inception to deployment, develop statistical models and machine learning algorithms, collaborate with teams to implement solutions, mentor junior scientists, and innovate content generation approaches to enhance user engagement.

As a Senior Data Engineer, Snowflake, you will lead a data team focused on providing a best-in-class experience for products and customers. Responsibilities include platform administration, performance tuning, infrastructure guidance, automation, monitoring, disaster recovery planning, and technical support.

The Data Management Coordinator will oversee North American master data domains, collaborating with business areas to manage data operations and ensure compliance with policies. Responsibilities include providing insights on data usage, resolving master data issues, executing training programs, and contributing to process improvements.

As a Data Science Co-op, you will support data science efforts in public health and safety by applying current and emerging machine learning techniques. Responsibilities include collaborating with data scientists and engineering teams, building custom algorithms, and participating in product design and ideation.

The Director, Real World Data Insights leads the establishment of a real world data insights capability within Pfizer. Key responsibilities include driving data analytics for strategic decision-making in pipeline development, collaborating with stakeholders, and overseeing research and data analysis to provide actionable insights for investments.

The Real World Data Insights Director will lead the establishment of insights capabilities to inform investment decisions regarding Pfizer's pipeline. This role involves collaborating with various stakeholders, leveraging real-world data, and conducting qualitative and quantitative analyses to provide actionable insights and strategic recommendations.

The Data Architect Senior will design and optimize data warehouses with a scalable architecture, analyze BI data, and provide support to ensure data quality and integrity. They will collaborate with IT and business users to develop overall data architecture and lead the implementation and integration of data solutions.

As a Data Owner Lead, you will implement strategic plans for data solutions that enhance business operations, manage project execution while mitigating risks, ensure clear documentation and govern critical data, and support analytics integration, fostering a data-driven culture across the organization.

As a Bilingual Data Annotator, you will collaborate with data science teams to enhance machine learning solutions, primarily by collecting and annotating data, developing taxonomies, and analyzing data patterns. Your role aims to improve data quality and contribute insights for better customer service operations.

As a Data Domain Architect Lead, you will lead a team collaborating with Data Science, Analytics, and Engineering to develop machine learning solutions, create taxonomies, and drive insights from data. You will manage processes for data collection, curation, and validation to improve AI/ML applications.

As a Data Transfer Agent at BAE Systems, you will facilitate the movement of data within a classified environment by executing transfer requests while adhering to security protocols. You'll need exceptional organizational skills and effective communication to keep the requesting personnel informed about transfer statuses. The role involves using media like CD/DVDs to perform the transfers, ensuring compliance with outlined processes.