Top Data Engineer Jobs in Las Vegas, NV

Lead the design, implementation, and maintenance of data pipelines and systems, evaluate new technologies, mentor junior engineers, and collaboratively define data solutions in agile settings.

Design and implement scalable data systems, define core schemas, build data pipelines, and collaborate with data teams.

Design and implement AI-driven automation solutions, build data pipelines, develop ETL processes, and ensure security compliance while supporting Agile DevOps.

As a Staff Data Engineer, you'll lead a team to ensure data quality and security while designing data lakes and pipelines for enterprise reporting.

The Data Platform Operations Engineer will design, implement and support data architecture, optimize platforms, and collaborate with teams on data requirements.

The role involves building and optimizing data processing pipelines, contributing to an experimentation platform, and collaborating across teams to enhance experimentation impact.

As a Staff Data Engineer, you will build and optimize data infrastructure for ML workloads, collaborating with engineers and data scientists, and managing data processes.

Responsible for building scalable microservices and data pipelines, mentoring junior engineers, and ensuring data quality for ML training.

Seeking a Senior Node.js Engineer (Tech Lead) to develop automation workflows and web crawlers, mentor team, and optimize systems.

Build a next-generation ML data and feature infrastructure platform to enhance the productivity of ML practitioners and improve feature accessibility.

The Distributed Systems Engineer will build scalable data infrastructure, enhance data processing systems, and collaborate across teams to leverage data efficiently.

The Senior Product Designer will design tools for the Infrastructure Platform, focusing on user-centric interaction and enhancing productivity for internal teams at Netflix.

Join Speechify's AI team as a Software Engineer responsible for building and managing data infrastructure, collaborating to enhance model training through effective data integration and processing.

Design and optimize a blockchain data platform for scalable data management, ensuring data quality and reliability for engineering teams.

As a Senior Data Engineer, you will build data infrastructure, develop CI/CD pipelines, and create entity resolution systems, focusing on large-scale data processing and analytics.

The Senior Data Engineer will design and implement robust data infrastructure, create data pipelines, and support machine learning models in collaboration with teams.

As a Staff Software Engineer in Data Systems, you'll build and optimize data pipelines, drive architecture decisions, and collaborate for scalable solutions in a fast-paced e-commerce environment.

The Senior Software Engineer will build data solutions, mentor engineers, and collaborate with product teams to deliver top-tier data products.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

The Staff Engineer, Big Data at Nagarro is responsible for leveraging technical expertise to support teammates and tackle client challenges while enhancing solutions.

Nagarro seeks an Associate Principal Engineer in Big Data to leverage extensive IT experience for strategic organizational value. The role values self-starters and innovation.

The Associate Staff Engineer will focus on big data technologies, assisting teammates and tackling client challenges to develop innovative solutions.

The role requires advanced knowledge in Big Data and the ability to lead teams in technology and solutions, helping clients tackle challenges and achieve success.

As a Senior Software Engineer - Data, you'll build and maintain data infrastructure, focusing on backend systems integration and event pipelines. Responsibilities include managing Snowflake, collaborating on dbt deployments, and ensuring data quality and performance.

As a Staff Data & Platform Engineer, you'll design data pipelines, manage databases, optimize performance, and ensure data service resiliency while collaborating on CI/CD and security.