Junior Data Engineer: AI-Powered Pipelines & Dashboards

Aramark; Philadelphia (Philadelphia County); On-site; USD 110,000 - 150,000; Full time

Job summary

Aramark is seeking a Data Engineer to design, build, and maintain scalable data pipelines and cloud data infrastructure near Philadelphia. You will develop data products supporting analytics, AI, and business decisions, leveraging SQL, Python, and modern tooling.

The role emphasizes data quality, automation, and cross‑functional collaboration with research, product, and design teams. Ideal candidates have strong communication, project management, and applied AI experience.

Qualifications

• 2+ years’ experience building data pipelines and working with relational SQL databases.
• Proficiency with Python (including Pandas) for data engineering and automation.
• Demonstrated experience using AI tools to solve problems—e.g., integrating LLMs or AI-assisted coding.
• Familiarity with data visualization tools, particularly Power BI or equivalent.

Responsibilities

• Design, build, and maintain scalable data pipelines and ELT/ETL workflows using SQL, Python, and cloud platforms.
• Model and curate reusable data products that analytics, research, and AI systems can depend on.
• Create and maintain dashboards and reports for internal and external use (e.g., Power BI).
• Apply AI tools to solve data problems, accelerate delivery, and improve data quality.
• Develop lightweight applications, internal tools, APIs, and user interfaces on a modern tech stack.

Skills

SQL

Python

BigQuery

ETL/ELT

Data visualization

Education

Bachelor's degree in CS/Engineering/Math

Graduate degree preferred

Tools

Airflow

dbt

Terraform

GitHub Actions

Docker/Kubernetes

Job description

Aramark is seeking a Data Engineer to design, build, and maintain scalable data pipelines and cloud data infrastructure near Philadelphia. You will develop data products supporting analytics, AI, and business decisions, leveraging SQL, Python, and modern tooling.

The role emphasizes data quality, automation, and cross‑functional collaboration with research, product, and design teams. Ideal candidates have strong communication, project management, and applied AI experience.