Top Remote Data Engineer Jobs in Denver & Boulder, CO

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.

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.

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.

The MLOps Engineer is responsible for GCP setup for machine learning models, ensuring seamless deployment and optimal infrastructure, along with monitoring and compliance.

The Analytics Engineer will develop data pipelines, conduct analytics, create dashboards, and collaborate with cross-functional teams to provide insights into consumer behavior for strategic decision-making.

The Sr. Data Scientist analyzes complex datasets, builds predictive models, creates data pipelines, and collaborates across teams to support strategic decision-making.

As a Data Engineer, you will design and implement data platform capabilities, support compliance, and ensure secure data consumption while mentoring clients and improving data pipelines.

Lead data engineering, experimentations, and site reliability engineering at Wikimedia. Manage teams, develop technical strategies, and optimize data systems for scale.

Lead engineering efforts across data engineering, search, experimentation, and data SRE. Manage teams, develop technical strategy, and collaborate with product management to ensure production readiness for data systems.

Lead data engineering, search, and SRE teams at Wikimedia Foundation. Oversee technical strategy, manage teams, and ensure reliable data products.

The role involves designing and delivering end-to-end data and analytics solutions on Azure for enterprise clients, requiring data engineering experience.

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