Top Senior Level Data Engineer Jobs

The role involves negotiating partnerships for data access with payroll companies and gig platforms, creating strategies to maximize provider coverage, collaborating with product teams for market introductions, establishing success metrics, and building relationships within the partner ecosystem.

The Staff ML Infrastructure Engineer will be responsible for defining the technical vision and architecture for Thumbtack's machine learning infrastructure, leading cross-functional teams, and establishing best practices. The role includes mentoring, strategic decision-making, and aligning ML capabilities with business goals, all to support the company's AI-first approach.

As a Senior Data Engineer at Klaviyo, you'll develop and maintain key data environments, build models for predictive analytics, collaborate with various teams, and ensure robust data infrastructure focusing on security and scalability.

As a Data Science Lead in HR Data & Analytics, you will conduct analyses of HR and business data to provide actionable insights. You'll design and implement analytical models, collaborate with users to understand requirements, develop solutions, and guide junior team members. Your role will include ensuring data quality and adhering to compliance policies.

As a Senior Machine Learning Engineer at Capital One, you'll design and implement machine learning applications, collaborate with cross-functional teams, and focus on optimizing models and data pipelines. Your role includes ensuring high performance and availability of systems while using best practices in ML engineering.

The role involves developing and optimizing NLP algorithms, training large language models, collaborating with cross-functional teams, and contributing to machine learning research initiatives. The engineer will drive improvements in the data processing pipeline and mentor junior team members.

The Data Scientist III (ML Engineering) will develop and optimize machine learning solutions to improve Cedar’s healthcare platform. Responsibilities include deep data analysis, building pipelines, collaborating with engineering teams, and evaluating model performance to enhance patient experiences.