Platform Innovation Engineer

Aramark • Rockville, MD

2d

About The Position

The Platform Innovation Engineer (Early Career) is a hands-on engineering role focused on building, experimenting, and learning through real implementation at the intersection of data, AI, and modern cloud platforms.
This role supports and extends the work of the AI Architect and senior platform engineers by helping turn new ideas, emerging tools, and innovative approaches into working, testable solutions. The emphasis is on building and experimentation—prototyping capabilities, validating approaches, and helping evolve early concepts into practical, repeatable platform features that can be trusted and scaled.
This position is designed for someone early in their career who is curious, motivated, and excited by the idea of shaping how a modern, AI-enabled data platform evolves, while learning how innovation is communicated, aligned, and delivered within clearly defined platform guardrails that protect data, users, and the organization.
The Modern Data Platform includes Snowflake, Azure services, Matillion DPC, the Power Platform (Power BI, Fabric, Power Automate), and AI-enabled capabilities such as internal intelligence agents, automation, and Python-based service.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data, Information Systems, or a related field
• Exposure to SQL, Python, or cloud, data, or automation tools
• Demonstrated curiosity and interest in AI-enabled systems or modern platforms
• Willingness to experiment, learn quickly, and iterate within defined boundaries
• Strong communication skills and comfort engaging with technical peers, leadership, and business stakeholders

Nice To Haves

• Master’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related discipline
• Side projects, hackathons, or self-directed technical exploration
• Exposure to cloud platforms (Azure preferred)
• Interest in how access controls, data stewardship, and platform trust are designed into systems
• Curiosity about how AI can improve productivity without compromising data integrity

Responsibilities

• Build and Experiment with AI-Enabled Capabilities- Build and test prototypes that explore how AI and automation can enhance data access, analysis, and platform workflows- Experiment with AI-assisted analytics, intelligent automation, or agent-style solutions under the guidance of the AI Architect- Validate ideas through hands-on implementation in development and QA environments- Help transform promising experiments into stable, reusable platform components that can be safely adopted by others
• Contribute to Platform Innovation- Assist in building tools, utilities, or services that improve how the platform is used, extended, and understood- Support the integration of AI capabilities into existing data and reporting workflows- Work across multiple technologies and layers rather than within a single tool or silo- Document what you build so solutions are transparent, repeatable, and supportable
• Build Within Platform and Data Guardrails-Design and build solutions with awareness of data sensitivity, access controls, and platform boundaries-Work within role‑based access models, environments (development, QA, production), and approval flows that protect data and platform integrity-Follow established development, testing, and deployment practices to ensure changes are traceable and auditable-Recognize when data handling or access considerations may apply and escalate questions early-Apply platform guardrails as a way to accelerate innovation by using clear, trusted paths to build and deploy
• Communicate, Align, and Build Trust- Communicate technical ideas, experimentation outcomes, and trade-offs clearly to senior engineers, leadership, and business stakeholders- Translate complex technical concepts into practical implications for non-technical audiences- Participate in conversations where priorities, risks, and feasibility are discussed with stakeholders outside engineering- Explain not just what was built, but why it matters, how it works at a high level, and what guardrails were considered

Benefits

• Aramark offers comprehensive benefit programs and services for eligible employees including medical, dental, vision, and work/life resources.
• Additional benefits may include retirement savings plans like 401(k) and paid days off such as parental leave and disability coverage.
• Benefits vary by location and are subject to any legal requirements or limitations, employee eligibility status, and where the employee lives and/or works.
• For more information about Aramark benefits, click here Aramark Careers - Benefits & Compensation.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees