Top Data Engineer Jobs

The Senior Data Engineer will lead analytics and data warehousing projects using Microsoft technologies. Responsibilities include developing data solutions, collaborating with teams, and advising clients on analytics strategies. The role emphasizes mentorship and client success, within a consulting firm focused on digital innovation.

The VP of Data Integration and Analytics at DUAL North America will lead data initiatives, overseeing data architecture and integration strategies to enhance business insights. This role involves managing the lifecycle of data, ensuring robust infrastructure, and driving analytics to support decision-making aligned with business goals.

The Senior Analytics Engineer will evolve the data infrastructure to support the finance department, ensuring high data quality and availability. Responsibilities include leading data projects, collaborating across teams, and shaping the company's data strategy, while promoting a data-driven culture and implementing efficient processes.

The Sr Director of Customer Data & Insights will lead analytics and insights initiatives to support the Specialty franchise in Alzheimer’s. Responsibilities include conducting market research, delivering actionable insights, collaborating with cross-functional teams, and driving brand strategy through data-driven decision-making.

As a Data Engineer, you will maintain and optimize the data architecture by designing and implementing data platforms and pipelines, supporting migrations, troubleshooting issues, and ensuring compliance with regulations. You will also address stakeholder requirements and provide training support to staff members.

The Senior Data Systems Engineer will work with clients to develop innovative technology plans, focusing on data modeling, system architectures, and reporting requirements. Responsibilities include ETL development, report creation, and designing analytics platforms, while applying machine learning and statistical analysis expertise to address operational challenges.

The role involves executing data architecture and management projects, transitioning existing data sets to new technologies, leading data analysis using machine learning, managing data ingestion processes, and improving data quality and vendor management, all while collaborating with commercial teams to understand data flow and investment processes.