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

The Data Architect at StraighterLine is responsible for developing and maintaining a long-term data strategy to drive business growth, designing data lake/warehouse solutions, integrating systems into a cohesive data architecture, and implementing data governance initiatives. Collaboration with various stakeholders and support for advanced analytics and machine learning initiatives are also key responsibilities.

The Senior Data Integration Engineer will develop data models and processing pipelines for large data sets, utilizing SQL and RESTful APIs. Responsibilities include designing and maintaining ETL processes, integrating data from various sources, and ensuring data quality and integrity.

Responsible for infrastructure and operations of data storage solutions, third-party integrations, data provisioning services, and ETL/ELT code-based solutions. Develop and implement ETL/ELT pipelines, design databases, and optimize queries for web applications. Work collaboratively with data scientists, programmers, and IT teams in a global setting. Preferred experience in Clinical Data and Regulatory Governance in Pharma Industry.

The IBM Database Engineer will provide technical support and database/software implementation for Development, Testing, and Sustainment environments related to T-FADS systems. Responsibilities include managing databases, collaborating with teams, resolving technical issues, and influencing design solutions.

The MySQL DBA will manage and optimize MySQL databases, ensuring performance, security, and availability. Responsibilities include installation, monitoring, backups, disaster recovery, and collaboration with developers for query optimization.

As a Data Scientist III, you will design and operationalize advanced analytics and AI solutions using AWS. You will mentor junior data scientists, develop models in a Jupyter environment, and deploy them in production. Strong problem-solving skills and experience in the healthcare sector are essential.

The Principal Data Architect will lead data integration and analytics efforts, collaborating with Data Science and Marketing teams. Responsibilities include designing data models, building data pipelines, improving integration practices, and ensuring service quality. They will work on enhancing data-driven marketing insights and maintaining high-quality data processes.