Top Senior Level Data Engineer Jobs

The Data Engineer Manager will lead a team responsible for developing and maintaining data infrastructure, manage data engineering projects, and ensure quality and security across systems. The role involves mentoring team members, collaborating with cross-functional teams, and making hands-on contributions to technical work.

The Senior Data Science Engineer will develop data solutions, collaborate with teams, oversee algorithms for data analysis, and support junior engineers. Responsibilities include managing scalable data processing platforms and making informed decisions while contributing to business goals.

The Senior Data Scientist will oversee and guide projects within machine learning and data science, play a key role in technical research assistance, and contribute to challenging projects funded by NSF. They will utilize their expertise to support the technical team and ensure the success of interventions in digital wellness.

The Oracle Data Relationship Management (DRM) Consultant will lead DRM-related projects, design and maintain DRM applications, ensure data quality, integrate DRM with existing systems, and provide support and training to users. The role includes participation in Agile Scrum teams and continuous improvement initiatives to optimize performance.

The Data Engineer II at Cross River will design, develop, and maintain scalable data pipelines, ensure data integrity, and support analytics for capital markets. Responsibilities include creating SQL statements, data integration, ensuring data quality, and utilizing Tableau for dashboard creation. Collaboration with analysts to meet data requirements is essential, along with staying updated on industry trends.

The Lead Data Architect will lead the design of scalable data architectures to meet clients' analytics and AI/ML needs. Responsibilities include partnering with stakeholders to define data strategies, conducting data platform assessments, and creating end-to-end data pipelines while staying updated on emerging data technologies.

The Data Architect designs data infrastructure to facilitate data access and organization. Responsibilities include identifying data solutions, auditing databases, maintaining data security, and conceptualizing systems for business applications. The role requires collaboration across departments to enhance existing architectures and meet data needs efficiently.