Top Remote Senior Level Data Engineer Jobs in Las Vegas, NV

The Data Architect will develop datasets for data visualization and machine learning, automate pipelines for structured and unstructured data, and collaborate with teams to create data products. This role includes building ingestion pipelines, providing thought leadership, and ensuring project delivery from design to launch.

The Senior Data Engineer at Datavant will be responsible for creating and maintaining ETL/ELT processes, collaborating with teams to define data flows, developing data integration specifications, and ensuring data architecture standards are met. They will also analyze data requirements, identify inefficiencies, and participate in project management within an agile team.

As a Senior GTM Data Strategist, you will lead analytics initiatives to enhance student safety solutions, build data infrastructure, and develop strategic insights for growth. Responsibilities include creating dashboards, managing ETL processes, and mentoring team members while collaborating with C-Suite executives.

As a Go-to-Market Analytics Engineer, the role focuses on developing a data platform, architecting scalable data pipelines, managing metrics and models, and designing tools like dashboards that transform data into actionable insights, all within a growth-oriented environment.

The Senior Database Administrator and Performance Engineer will oversee the performance, availability, and restorability of database servers for SaaS applications in AWS. Responsibilities include monitoring transactions, optimizing indexes, troubleshooting performance issues, collaborating on database design, and ensuring data durability and integrity through effective backup and recovery processes.

As a Staff Data Engineer, you will lead the evolution of the CS Data Platform, building and maintaining data pipelines and APIs, collaborating with cross-functional teams to improve data handling capabilities for AI-driven customer support solutions.

As a Staff Machine Learning Data Scientist, you will lead the development of machine learning tools for patient data, integrating insights from diverse stakeholders, and conducting complex analyses in cloud environments. You'll collaborate with experts to provide innovative solutions and generate novel clinical insights from extensive patient data.