Top Data Engineer Jobs in Denver & Boulder, CO

As a Sr. Database Engineer, you will oversee database engineering, administration, and development. Your responsibilities include enhancing automation processes, collaborating with stakeholders, driving stability initiatives, managing database performance, and developing solutions for complex problems. You will also be involved in IT projects and work closely with teams to improve database operations, utilizing cloud infrastructure primarily on AWS.

The Data Analytics Specialist will analyze customer datasets, develop dashboards and reports, and deliver actionable insights to aid data-driven decision-making. Responsibilities include data visualization, ensuring data quality and governance, and collaborating with internal teams to support data projects while engaging customers effectively.

As a Senior Data Engineer, you will develop and optimize AI/ML models to detect cybersecurity threats, implement data processing pipelines, collaborate with various teams for integration, and mentor peers while driving innovation in the AI/ML domain.

The Data Center Selection Manager will strategize vendor partnerships, manage deals and contracts, and oversee project timelines to support Cloudflare's infrastructure growth. Responsibilities include working across teams for operational alignment, leading vendor negotiations, establishing relationships with partners, and contributing to budget management.

In this role, you'll lead the Data Platform team, developing the roadmap for Gusto's data lake and ingestion systems. You'll ensure continuous improvement in team practices, collaborate with various data teams to implement best practices, and serve as a technical leader, effectively communicating the rationale behind decisions.

The Senior Analyst and Developer is responsible for the design and development of custom Oracle R12 reports, working with SQL Server, and utilizing various ML frameworks. The role involves deriving insights from data and building relationships with the business to meet needs and ensure accuracy.

This role involves the implementation of data services, enhancement of data architecture, and spatial analyses on large datasets. Responsibilities include developing reporting processes, troubleshooting data job failures, and collaborating with internal and external teams to ensure effective data integration and storage solutions.