Data Engineer: Build AI-Powered Pipelines & Dashboards

Aramark Corporation

Philadelphia (Philadelphia County)

Hybrid

USD 95,000 - 130,000

Full time

13 days ago
Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Job summary

Aramark seeks a Data Engineer to design, build, and maintain scalable data pipelines, models, dashboards, and cloud data infrastructure that turn diverse source data into trusted analytics-ready assets.

The role requires strong SQL and Python skills, experience with cloud data warehouses, data visualization tools, and AI-assisted development, plus collaboration across research, product, and design teams to deliver value.

Qualifications

  • 2+ years in data pipelines and relational SQL databases.
  • Proficiency with Python (including Pandas) for data engineering and automation.
  • Experience using AI tools to solve problems - e.g., integrating LLMs or LLM APIs, AI-assisted coding, or applying ML in projects.
  • Familiarity with data visualization tools, particularly Power BI or Tableau.
  • Undergraduate degree in Computer Science, Engineering, or Math; graduate degree preferred.

Responsibilities

  • Design, build, and maintain scalable data pipelines and ELT/ETL workflows using SQL, Python, and cloud data platforms (e.g., BigQuery, Snowflake).
  • Model and curate reusable data products for analytics, research, and AI systems.
  • Create and maintain data visualization dashboards and reports for internal and external use (Power BI).
  • Apply AI tools and ML techniques to solve data problems and accelerate delivery.
  • Collaborate with research, product, data science, and design teams to support data infrastructure needs.
  • Develop lightweight apps, internal tools, and APIs on a modern stack to deliver data and AI capabilities.

Skills

SQL
Python
ETL/ELT
Cloud platforms
Data modeling
Data visualization
AI tools
BigQuery
Snowflake
Power BI
GitHub Copilot

Education

Bachelor's degree in CS/Engineering/Math
Graduate degree preferred

Tools

BigQuery
Snowflake
Power BI
Tableau
dbt
Airflow
Dagster
AWS
GCP
Docker
Kubernetes

Job description

Aramark seeks a Data Engineer to design, build, and maintain scalable data pipelines, models, dashboards, and cloud data infrastructure that turn diverse source data into trusted analytics-ready assets.

The role requires strong SQL and Python skills, experience with cloud data warehouses, data visualization tools, and AI-assisted development, plus collaboration across research, product, and design teams to deliver value.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Analytics Engineer: Scalable Data Pipelines & Dashboards
Analytics Engineer: Scalable Data Pipelines & Dashboards

ADP, Inc. • Austin (TX)

On-site
USD 90,000 - 140,000
Data Engineer: Build Scalable Pipelines & Data Platforms
Data Engineer: Build Scalable Pipelines & Data Platforms

Aptdata Solutions Inc. • Farmington Hills (MI)

On-site
USD 90,000 - 115,000
Hybrid Cloud Data Engineer: Real-Time Pipelines & GenAI
Hybrid Cloud Data Engineer: Real-Time Pipelines & GenAI

Aramark • Philadelphia

Hybrid
USD 100,000 - 130,000
Medical, Dental, Vision
401(k)
Parental leave
+1
Data Engineer — AI-Driven Pipelines & Analytics
Data Engineer — AI-Driven Pipelines & Analytics

Airtable • City of Syracuse (NY)

On-site
USD 179,000 - 222,000
Data Engineer: Scalable Pipelines, Dashboards & APIs
Data Engineer: Scalable Pipelines, Dashboards & APIs

Theoris • Indianapolis (IN)

On-site
USD 80,000 - 100,000
Data Engineer II: Build AI-Ready Data Pipelines
Data Engineer II: Build AI-Ready Data Pipelines

McKinsey & Company • Washington

On-site
USD 146,000 - 150,000
Comprehensive benefits package
Continuous learning opportunities
Global community support
Analytics Engineer: AI-Driven Data Pipelines
Analytics Engineer: AI-Driven Data Pipelines

Publicis Groupe Holdings B.V • Atlanta (GA), Chicago (IL)

On-site
USD 110,000 - 160,000
Data Engineer: Build Scalable Pipelines for Analytics
Data Engineer: Build Scalable Pipelines for Analytics

TheCorporate • Tulsa (OK)

On-site
USD 110,000 - 150,000
Senior Data Engineer — AI-Driven Pipelines & Analytics
Senior Data Engineer — AI-Driven Pipelines & Analytics

Airtable • San Francisco (CA)

On-site
USD 196,000 - 278,000
Restricted stock units
Incentive compensation
Comprehensive benefits
Data Engineer — AI-Powered Data Platform
Data Engineer — AI-Powered Data Platform

Amazon Web Services (AWS) • Arlington (VA)

On-site
USD 132,000 - 179,000