Top Data Engineer Jobs in Las Vegas, NV

The Senior Software Engineer will architect and implement scalable services for ingesting and managing company data, ensuring quality and performance. Responsibilities include code deployment, system integration, and collaborating with product management.

As a Software Engineer for Reference and Entity Data Services, you will implement new data feed ingestions, integrate reference data with systems, and ensure data quality for company information across platforms.

The Senior Data Engineer will architect and deliver features for the Public Investor tooling ecosystem, ensuring high-quality web applications that support data analytics.

The Senior Operations Engineer will lead the assessment, validation, and optimization of health data migrations, ensuring data integrity and compliance across federal healthcare environments.

As a Senior Data Engineer, you'll design, build, and optimize data infrastructure while collaborating with teams to enhance data flow and integration across platforms.

The Staff Engineer - Finance Data Specialist will develop and support a Finance Data Warehouse, collaborating with Finance and Tech teams on data management and analytical solutions.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

Lead the development of Big Data solutions and machine learning systems, mentor engineers, and maintain high standards of engineering excellence.

The Senior Data Engineer will analyze complex data sets, collaborate with teams, design BI dashboards, and ensure data quality.

The Senior Data Engineer will design data architecture, collaborate with machine learning teams, and ensure robust data integration and workflows.

As a Senior Data Infrastructure Engineer, you'll manage large-scale data platforms, ensuring their performance and scalability while collaborating with development teams and supporting data initiatives.

Seeking Data Platform Engineers to design, build, and manage scalable data pipelines and analytic query engines while ensuring data integrity and performance optimization.

The Data Engineer will modernize data architectures and pipelines for government projects, ensuring efficient data handling and enhancing data processing capabilities while collaborating with cross-functional teams.

The Staff Software Engineer will design, build, and launch data products and capabilities, focusing on backend systems and clinical data processing, while ensuring high-quality and scalable solutions.

The Senior Software Engineer will design, build, and launch data products and pipelines while ensuring scalable access to clinical data and collaborating with teams to optimize systems.

The Network Engineer will label, annotate, and structure data from networks, supporting the development of AI-driven infrastructure solutions.

As a Big Data Solutions Engineer, you'll design and implement scalable Big Data solutions on cloud platforms, managing workflows and integrating with various teams to optimize data processing.

The role involves building and optimizing data pipelines, managing data integration, supporting analytics, and collaborating with cross-functional teams to enable data-driven decisions.

Lead the evolution of decentralized data infrastructure, design and maintain ETL/ELT pipelines, and collaborate across teams to derive insights from data.

The role involves designing, optimizing, and extending data pipelines and infrastructure to support healthcare analytics, ensuring compliance and data quality.

Join Numeral as a Data Software Engineer to design and scale data systems, pipelines, and infrastructure while collaborating with cross-functional teams.

The Senior Data Engineer will develop scalable data pipelines, maintain production datasets, collaborate with teams, and optimize data platform infrastructure.

Design and maintain high-quality data pipelines, develop DBT models, collaborate with analytics and data science teams, and optimize data operations for scalability.

Lead cross-functional teams to develop scalable data solutions, mentor engineers, and architect technical designs for data systems. Ensure project alignment with business goals and improve workflows for internal and external users.

Transform streams of data into insights in Pharmacy Benefits Management using tools like Python and data warehouse technologies, mentoring junior members.