Top Senior Level Data Engineer Jobs

As a Senior Database Engineer at GliaCell, you will support a U.S. Government project focusing on modernizing IT systems, documenting existing workflows, and migrating data from legacy systems. Your role includes optimizing platforms based on user needs and collaborating with various stakeholders.

The role involves performing complex statistical and data-mining analysis using tools like Python, SQL, and R. Responsibilities include developing analytical models, automating processes, building data visualizations, and collaborating with teams to produce insights for product and service development. Additionally, the candidate is expected to stay updated with industry trends and engage with stakeholders for project goals.

Design, develop, and maintain data models in Redshift, optimize ETL processes, collaborate with teams to identify key metrics, develop dashboards using BI tools, mentor junior team members, and contribute to technical best practices.

The Financial Analytics Engineer will enhance data and analytics infrastructure, focusing on fund planning, portfolio construction, and performance analysis. They will design scalable data pipelines, collaborate on LLM solutions, and ensure seamless data operations with cross-functional teams.

The Sr. Global Privacy and Data Protection Counsel at Pendo will oversee global data privacy needs, ensure compliance with privacy regulations, lead legal activities related to Pendo’s privacy program, and provide counsel to various business units. The role requires collaboration with product and engineering teams, as well as training the legal department on data privacy regulations.

As the AI Data Architect/Data Lead at Golin, you will develop and implement the agency's long-term data strategy to enhance AI-driven solutions. This includes creating a data lake, ensuring compliance with data governance, acquiring partnerships for data, and driving innovative data-driven capabilities while collaborating with various stakeholders.

The Staff Data Engineer will lead the development of AI-driven data solutions, create real-time data pipelines, define architecture for Cloud Data Platform, and mentor staff on data engineering best practices, while collaborating with various teams to achieve enterprise data initiatives.