Job Description

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 consumers and clients.

We are seeking a Junior Data Engineer who will work hands-on and collaboratively with our enterprise and line of business stakeholders to support the continued evolution of our enterprise data platform and application stack. The successful candidate will help design, build, and deliver cloud-native, service-oriented products that transform our data ingestion, processing, and analytics and AI-driven capabilities. This is an excellent entry point into a long-term data engineering career track, with clear growth toward mid-level and senior data engineering roles as skills and ownership expand.

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.

Job Responsibilities

• You will be directly writing, reviewing, and contributing to code as part of a collaborative engineering team, working closely with senior engineers to build strong technical fundamentals.

• Help design and ship high-performance, cloud-native data product components used across Aramark's enterprise and line-of-business teams.

• Build and support reusable data platform capabilities, ingestion frameworks, and data products (via dbt, Azure Logic Apps/Function Apps, and Snowflake) that enable self-service analytics across the enterprise.

• Support the design and operation of reliable data pipelines, including monitoring, observability, testing, and recovery mechanisms.

• Assist in maintaining integration and synchronization between source systems (on-premises and SaaS) and cloud-native platforms.

• Develop scalable, well-modeled data transformation pipelines (dbt) under the guidance of senior team members to unlock analytical and AI-driven capabilities.

• Learn and apply data engineering best practices — including CI/CD for data, testing standards, and code review norms — across the team.

• Contribute ideas and feedback to the team's data engineering roadmap as your experience grows.

Qualifications

• Python

• SQL

• Azure and/or AWS

• Exposure to ELT processes, including cloud-native ingestion/orchestration (e.g., Azure Logic Apps, Azure Function Apps, or equivalent) and building transformation pipelines (e.g., dbt or equivalent)

• Familiarity with data modeling and transformation frameworks (dbt or equivalent)

• Exposure to data warehousing platforms such as Snowflake, Databricks, or equivalent

• Some experience or coursework involving Apache Spark, real-time streaming technologies, or large-scale distributed data processing is a plus

• Familiarity with CI/CD pipelines and Infrastructure as Code (e.g., Terraform, GitHub Actions) is a plus

Some experience designing, building, or supporting production-grade data pipelines and data products at scale.

Developing understanding of data architecture, observability, testing, and engineering best practices, with eagerness to grow this expertise.

You're comfortable working across distributed teams and are eager to develop the ability to communicate technical concepts with both engineers and non-technical business stakeholders. A BS or MS in Computer Science — or equivalent experience — is expected.

Preferred Qualifications

• Interest in or exposure to GenAI integration, LLM-enabled applications, vector search, or agentic workflows.

• Prior experience (internship, coursework, or professional) in food service, hospitality, retail, or consumer-facing industries.

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

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