Top Senior Level Data Engineer Jobs
As a Senior Analytics Engineer at Apollo.io, you will design and maintain data models, implement data engineering standards, and collaborate cross-functionally to deliver scalable data solutions. You will influence analytics infrastructure and provide strategic insights for business decision-making.
As a Senior Data Engineer (AI), you will design and maintain data pipelines, manage infrastructure, and integrate AI/ML applications. This role involves collaboration across teams to enhance data-driven decision-making and cybersecurity solutions.
The Data Conversion and Migration Lead will oversee data migration activities, including developing data cleansing strategies, managing data migration security, and coordinating data validation efforts. This role involves supporting the transition to a new financial system, ensuring accurate data flow, testing migration plans, and documenting all activities.
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The Senior Database Administrator will manage and implement solutions for MongoDB and MySQL databases, oversee database design and performance tuning, support DevOps tasks, and participate in on-call and deployment rotations. This role requires collaboration with other engineers and DBAs in a fast-paced environment, managing both cloud and on-premises databases.
As a Staff Data Engineer, you will lead the design of master data platforms, architect data models and processing solutions, and build end-to-end analytical solutions with a focus on scalability and performance. Responsibilities include developing data pipelines, collaborating with business leaders, and mentoring teams on complex data projects.
The Senior Manager, Data Operations, at Travere Therapeutics is responsible for managing data strategy and execution, collaborating with stakeholders to gather requirements, designing solutions, documenting processes, and overseeing project updates. They will drive timelines, ensure milestone achievement, and manage performance against KPIs related to Patient Service.
The Senior Analyst in Data Engineering will support data processing, transformation, and integration efforts, ensuring data consistency and quality across various projects. Responsibilities include managing databases, enhancing data pipelines, collaborating with data scientists, and automating data engineering processes. This role also involves documentation and training for team knowledge sharing.
As a Data Architect, you will design, implement, and maintain a robust data architecture, supporting advanced analytics and business intelligence initiatives. You will collaborate with cross-functional teams to integrate data from various sources, create and maintain data models, establish data governance policies, and identify performance optimization opportunities.
The Data Architect will design and optimize the organization's data infrastructure to align with business goals and enhance data-driven decision-making. Responsibilities include developing data solutions using various Azure services, managing data architecture, ensuring compliance with regulations, and collaborating with cross-functional teams to meet data infrastructure needs.
The Director of Data Science will lead the Data Science team, focusing on Big Data Analytics, AI, and ML to meet client needs. They will manage a portfolio of government projects, ensure team skills and resources are adequate, and drive operational policies and goals while maintaining high standards of service quality.
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