Top Senior Level Data Engineer Jobs

The Senior SQL Database Administrator will implement business continuity processes, focusing on performance tuning, and ensuring the availability and security of Microsoft SQL Server databases. Responsibilities include technical troubleshooting, disaster recovery planning, and collaborating with stakeholders to enhance database design and performance.

As a Senior Manager of Data Visualization Engineering, you will lead a team focusing on building and maintaining data visualization solutions, ensuring data integrity and security, and guiding the team towards innovative practices in data visualization. You will manage projects and collaborate with teams across the company to align data needs with overall business objectives.

The Senior Data Engineer will maintain and optimize database pipelines, monitor data health, refactor reporting structures, and collaborate with various teams to enable impactful reporting. Responsibilities include mentoring team members and developing best practices for data management.

The Engineering Lead Analyst is responsible for overseeing engineering tasks involving hardware and software design and deployment, managing system upgrades, troubleshooting issues, and ensuring compliance with technology standards while mentoring junior team members.

The Analytics Developer III oversees database analytics and reporting services, translating customer requirements into technical specifications. They manage data collection and validation, develop solutions using advanced BI tools, and analyze data to drive clinical and operational improvements. The role includes mentoring junior staff and requires strong communication skills.

The Privacy Analyst will manage privacy compliance, oversee the implementation of policies and procedures in line with HIPAA, conduct training, and lead risk assessments and audits to safeguard PHI and PII. This role requires collaboration across departments and liaising with regulatory bodies.

The Senior Data Engineer will develop cloud service offerings, assemble complex datasets, design process improvements, and build infrastructure for data extraction and transformation. Responsibilities include collaborating with various stakeholders to ensure effective data delivery and support operational metrics.