Data Engineer

Aramark•Philadelphia, PA

6d•Hybrid

About The Position

Our vision is to enable profitable growth to Aramark’s Accounts by providing them with analytical assets that meet their needs as effectively and then efficiently as possible. To achieve this vision, Aramark will deliver strategic data assets that enable our operators to maximize the hospitality experience for our consumer and clients. We are seeking a Sr. Data Engineer who will work collaboratively with our enterprise and line of business stakeholders to continue the evolution of our enterprise data platform. The successful candidate will design, build, and deliver cloud-native, service-oriented products that transform our data ingestion, processing, and business intelligence capabilities. This is a hybrid role based at our Philadelphia headquarters. Candidates must be local to the area and willing to work onsite in a hybrid capacity.

Requirements

7+ years of software development experience in the data domain, with hands-on proficiency across: Python, Advanced SQL, Azure and / or AWS, ETL / ELT processes, Data modeling, Apache Spark, Real-time streaming, CI/CD pipelines.
Comfortable working across distributed teams and can influence technical direction with both engineers and non-technical business stakeholders.
A BS or MS in Computer Science - or equivalent experience - is expected.

Nice To Haves

Experience with GenAI integration, LLM pipelines, or agentic data workflows.
Prior experience in food service, hospitality, or consumer-facing industries.

Responsibilities

Design and ship high-performance, cloud-native data product components used across Aramark’s enterprise and line-of-business teams.
Build and own robust data ingestion frameworks that handle scale reliably.
Architect and maintain synchronization between on-premises systems and cloud-native platforms.
Develop scalable data processing pipelines that unlock analytical and AI-driven capabilities.
Establish and enforce data engineering best practices across the team.
Contribute meaningfully to the strategic direction of our data engineering roadmap.