2954 Data Platform Analytics Engineer jobs in Denver,CO

Full-Time Salary Range: $132962 - $226035

Health, dental, and vision insurance

Health savings accounts

A 401(k) savings plan

Disability coverage

Life and accident insurance

An employee assistance program

A legal plan

Discounts on things like home, auto, and pet insurance

Paid time off

Paid holidays

Paid parental, military, bereavement, and any applicable federal and state sick leave

Maintain a regular and predictable work schedule.

BS degree or higher in Engineering or a related technical field is required plus 8 or more years related experience.

Each higher-level related degree, i.e., Master's Degree or Ph.D., may substitute for two years of related experience. Related technical experience may be considered in lieu of education. Degree must be from a university, college, or school which is accredited by an agency recognized by the US Secretary of Education, US Department of Education.

Extensive professional systems engineering experience appropriate for a Senior Principal Engineer position.

Deep expertise in MBSE, systems architecture, and model-based engineering methods.

Demonstrated experience applying SysML and system modeling to complex system development.

Extensive understanding of requirements engineering, functional analysis, interfaces, architecture, integration, verification, validation, and lifecycle engineering.

Experience leading technical efforts across multiple disciplines and organizational boundaries.

A security clearance or access with Polygraph is not required to be eligible for this position. However, the applicant must be willing and eligible for submission, depending on program requirements, after an offer is accepted and must be able to maintain the applicable clearance/access.

Advanced degree in Systems Engineering, Engineering Management, or related technical discipline.

Significant experience with Cameo Systems Modeler/MagicDraw or comparable MBSE platforms.

Experience developing enterprise MBSE strategies, modeling methodologies, reference architectures, or governance frameworks.

Experience across multiple aerospace or defense programs and lifecycle phases.

Experience architecting or implementing digital engineering ecosystems or digital threads.

Broad understanding of engineering disciplines and their interactions, including hardware, software, analysis, test, manufacturing, mission assurance, and program management.

Experience influencing enterprise engineering standards, processes, investment strategies, or transformation initiatives.

Familiarity with enterprise architecture, data architecture, interoperability, PLM, requirements management, DevSecOps, modeling and simulation, and related digital capabilities.

Experience evaluating and implementing AI, automation, or advanced analytics within engineering environments.