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

The Senior Data Engineer will develop and maintain ETL/ELT pipelines, analyze and model complex data, and collaborate across teams to optimize data solutions for performance and scalability. Responsibilities include working with technologies like SQL, Python, and AWS, and ensuring data privacy and security in architectures.

The Senior Data Engineer will design, maintain, and enhance the company's data analytics pipeline, focusing on data warehouse and ETL processes. Responsibilities include developing tools for monitoring data health, collaborating with stakeholders, and ensuring data accuracy and reliability.

As a Staff Machine Learning Engineer at Handshake, you will lead a small team to enhance AI products and infrastructure, focusing on Generative AI and Recommendations. You will develop machine learning systems, design partnerships across teams, and drive technical direction while ensuring high-quality execution and user-centered solutions.

As a Senior Data Engineer at Clear Capital, you will design and develop data movement applications using AWS services, build data pipelines, implement a data governance strategy, and collaborate with cross-functional teams in an Agile environment.

As a Staff Analytics Engineer, you will design and build data pipelines and infrastructure to enhance operational performance. Collaborating with data scientists and engineers, you'll ensure clean, accessible data and contribute to data strategy focusing on quality and governance. Mentor junior team members and optimize data systems for business operations.

The Lead Data Engineer is responsible for designing, building, and optimizing data orchestration and pipeline architecture. This role involves maintaining data engineering architecture, implementing ELT and ETL processes, and mentoring junior engineers while supporting data needs across multiple teams and products.

As a Senior Data Engineer, you will develop and enhance data infrastructures, improve data quality, and design systems for performance and reliability. You'll partner with product managers and data teams, build batch and streaming pipelines, and ensure effective data governance. You will also drive technical projects and optimize workflows.