Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

The Senior Data Engineer will design, build, and support data environments, orchestrate pipelines, and implement data solutions for advanced analytics and machine learning, working closely with project teams.

Design, implement, maintain, and troubleshoot enterprise LAN/WAN/wireless and security networks. Support deployments, upgrades, migrations, and operational improvements. Analyze requirements, recommend scalable secure solutions, create documentation, monitor performance, resolve reliability/security issues, provide technical support during projects, collaborate with stakeholders, mentor junior engineers, and pursue continuous learning.

Design, develop, and maintain end-to-end Microsoft Power Platform solutions (Power Apps, Power Automate, Power BI, Dataverse). Integrate with Dynamics 365, Azure, and third-party systems using custom connectors and APIs. Monitor performance, enforce security/compliance, build dashboards, automate workflows, troubleshoot issues, mentor junior engineers, and propose continuous improvements.

Lead architecture, design, development, and deployment of complex ServiceNow IRM/SecOps solutions. Mentor teams, run client workshops/demos, design integrations, maintain certifications, participate in presales, and provide thought leadership across multi-resource programs.

Lead architecture, design, development, and deployment of ServiceNow solutions (preferably IRM/SecOps). Mentor teams, run client workshops/demos, design integrations, contribute to presales, maintain expert certifications, and travel ~25% for client engagements.

Serve as a cross-functional partner resolving commission disputes, validating commission data and reporting, troubleshooting across Salesforce/Power BI/Xactly, and identifying automation opportunities to improve commission processes and stakeholder confidence.

Lead and grow a software engineering team building Hatch and Unity platforms. Partner with product and business stakeholders to deliver high-quality web features on schedule, guide architecture and technical decisions, refine development and AI-assisted workflows, hire and mentor engineers, conduct code reviews, and remove blockers so the team can ship reliably.

Deploy and integrate AI-enabled SOC solutions across customer environments: design cloud-native ingestion pipelines, integrate SIEM/XDR/SOAR and tooling, implement automation and AI workflows, improve analyst experience, troubleshoot production issues, and provide technical leadership and field-facing delivery.

Lead and build an Operations Excellence function to centralize operational quality, own issue management across quote-to-cash, drive root cause analysis and corrective actions, define SOPs and automation opportunities, maintain executive reporting and scorecards, and embed continuous improvement and governance across cross-functional teams.

Lead complex data, analytics, AI, and cloud transformation engagements as a trusted advisor: manage delivery, scope, budget, stakeholders, and teams; design scalable data platform solutions; drive business development, mentoring, and practice improvements.