Top Data Engineer Jobs in Denver & Boulder, CO

As a Data Engineer at Circle, you'll manage data pipelines for blockchain analytics, ensuring data accuracy and quality to support business functions. Responsibilities include building ELT pipelines, designing data models, and improving warehouse operations.

As a Data Engineer, you'll manage data warehousing and pipelines for blockchain analytics, ensuring data accuracy and supporting business functions. You'll collaborate with teams to improve operations and leverage AI for efficiency.

As a Data Engineer, you will manage the data warehouse and ELT pipelines for blockchain analytics, ensuring data accuracy and quality for product development and business growth.

As a Data Developer IV, you will implement data services, enhance architecture, troubleshoot issues, develop reporting solutions, and collaborate with stakeholders.

The Lead SAP Procure to Pay Analyst will manage SAP MM and FI configurations, support OpenText VIM integration, and lead end-to-end procure-to-pay processes.

Design and build secure data pipelines, lead data architecture, collaborate across teams, ensure data quality, and mentor other engineers.

As a Staff Data Engineer, you will maintain and operate a data platform for ML workflows and analytics, develop data APIs, implement monitoring systems, and define data models while collaborating across teams.

Join Welo Data to provide high-quality AI datasets including annotation, labeling, and data collection in multiple languages.

As a Senior Analytics Engineer, you will design data models and optimize analytics pipelines, empowering stakeholders through collaboration and best practices in data governance and quality.

Lead the Global Data Science & Analytics Product Development team, leveraging data science expertise to build market-leading data products and analytic solutions.

Design and optimize data pipelines for integration and analysis, ensuring data quality while collaborating with a cross-functional scrum team.

As a Data Engineering Intern, you will contribute to data products, manage automation tools, help develop Infrastructure as Code, and optimize and support data processes while collaborating with the engineering team.