Junior Data Engineer

Job DescriptionThe Data Engineer designs, builds, and maintains reliable data pipelines, models, dashboards, and cloud data infrastructure that transform diverse source data into trusted, reusable data products for analytics, research, AI, and business decision-making. This role applies SQL, Python, modern data engineering practices, visualization tools, and AI-assisted development to improve data quality, automate workflows, and deliver scalable data and AI capabilities through internal tools, APIs, and lightweight applications. The position requires strong technical, analytical, communication, and project management skills, with experience in relational databases, cloud platforms, data visualization, and applied AI tools.The ideal candidate will be based in or near Philadelphia, PA, Chicago, IL, or Rockville, MD.Job ResponsibilitiesDesign, build, and maintain scalable, well-tested data pipelines and ELT/ETL workflows using SQL, Python, and cloud data platforms (e.g., BigQuery, Snowflake) to automate data ingestion, cleansing, and transformationModel and curate documented, reusable data products (transformations, semantic layers) that analytics, research, and AI systems can depend onCreate and maintain data visualization dashboards and reports for internal and external use (e.g., Power BI)Apply AI tools-including large language models (LLMs), AI-assisted coding, and machine learning techniques-to solve data problems, accelerate delivery, and improve data reliability, efficiency, and qualityPartner with research, product, data science, and design teams to incorporate the latest industry and business intelligence and to support their data infrastructure needsDocument best practices, data models, and current-state data documentationDeliver clear, actionable updates and insights to stakeholders, including Executive, Product, Data, and Design teamsDevelop, test, and maintain lightweight applications, internal tools, APIs, and user-facing interfaces on a modern tech stack (e.g., SpringBoot and React.js) to deliver data and AI capabilities to business usersDevelop, construct, test, and maintain cloud data architectures and infrastructure, applying DataOps and DevOps practices such as version control, CI/CD, and infrastructure as code.Advanced working SQL knowledge and experience with relational databases, query authoring, and performance tuning, plus working familiarity with cloud data warehouses (e.g., BigQuery, Snowflake)Strong programming skills in Python (including Pandas) and demonstrated experience building data pipelines and automationHands-on experience applying AI to real problems-prompting and integrating LLMs, using AI-assisted development tools (e.g., GitHub Copilot, Claude, Cursor), and applying ML or statistical methods-with sound judgment about where AI does and does not add valueFamiliarity with modern data engineering tooling and practices, such as orchestration (Airflow, Dagster, or similar), transformation frameworks (e.g., dbt), and batch and streaming processingApplication development capability on a modern stack: building APIs and services (e.g., SpringBoot and React.js) to deliver data and AI features to end usersData visualization expertise with proven examples in Power BI or comparable toolsExperience performing root-cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvementStrong analytical skills working with large, unstructured datasetsAbility to build processes supporting data transformation, data structures, metadata, dependency, and workload managementStrong project management, communication, and organizational skills, with the ability to translate business needs into technical solutionsQualifications2+ years’ experience building data pipelines and working with relational SQL databasesProficiency with Python (including Pandas) for data engineering and automationDemonstrated experience using AI tools to solve problems-e.g., integrating LLMs or LLM APIs, AI-assisted coding, or applying ML-in a professional or project settingFamiliarity with data visualization tools, particularly Power BI or equivalent (Tableau, Sigma, etc.)Minimum undergraduate degree in Computer Science, Engineering, or Math (equivalent practical experience considered)Preferred graduate degree in Computer Science, Engineering, or MathPreferred experience with modern application development on a recent tech stack (e.g., Python/FastAPI or Node.js on the back end; React/TypeScript on the front end); experience with enterprise stacks such as Java/Spring Boot is a plusPreferred familiarity with modern data stack tooling (e.g., dbt, Airflow/Dagster) and DataOps practicesPreferred familiarity with GCP cloud services (BigQuery, Dataform, GCE)Preferred familiarity with AWS cloud services (EKS, EC2, RDS, S3, CloudFront, IAM, CloudWatch)Preferred familiarity with infrastructure as code (Terraform), GitOps (ArgoCD), container orchestration (Docker/Kubernetes), and CI/CD pipelines (GitLab CI/CD, GitHub Actions)About AramarkOur MissionRooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet.At Aramark, we believe that every employee should enjoy equal employment opportunity and be free to participate in all aspects of the company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender, pregnancy, disability, sexual orientation, gender identity, genetic information, military status, protected veteran status or other characteristics protected by applicable law.About AramarkThe people of Aramark proudly serve millions of guests every day through food and facilities in 15 countries around the world. Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet. We believe a career should develop your talents, fuel your passions, and empower your professional growth. So, no matter what youre pursuing - a new challenge, a sense of belonging, or just a great place to work - our focus is helping you reach your full potential. Learn more about working here at http://www.aramarkcareers.com or connect with us on Facebook, Instagram and Twitter.

Analysis Skills, Reporting Dashboards, Data Visualization, Data Quality, Data Management, Cloud Computing, Technical/Engineering Design, Python Programming/Scripting Language, Application Programming Interface (API), Relational Databases (RDBMS), * Advanced working SQL knowledge and experience with relational databases, query authoring, and performance tuning, plus working familiarity with cloud data warehouses (e.g., BigQuery, Snowflake)

• Strong programming skills in Python (including Pandas) and demonstrated experience building data pipelines and automation
• Hands-on experience applying AI to real problems-prompting and integrating LLMs, using AI-assisted development tools (e.g., GitHub Copilot, Claude, Cursor), and applying ML or statistical methods-with sound judgment about where AI does and does not add value
• Familiarity with modern data engineering tooling and practices, such as orchestration (Airflow, Dagster, or similar), transformation frameworks (e.g., dbt), and batch and streaming processing
• Application development capability on a modern stack: building APIs and services (e.g., SpringBoot and React.js) to deliver data and AI features to end users
• Data visualization expertise with proven examples in Power BI or comparable tools
• Experience performing root-cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analytical skills working with large, unstructured datasets
• Ability to build processes supporting data transformation, data structures, metadata, dependency, and workload management
• Strong project management, communication, and organizational skills, with the ability to translate business needs into technical solutions, * 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 LLM APIs, AI-assisted coding, or applying ML-in a professional or project setting
• Familiarity with data visualization tools, particularly Power BI or equivalent (Tableau, Sigma, etc.)
• Minimum undergraduate degree in Computer Science, Engineering, or Math (equivalent practical experience considered)
• Preferred graduate degree in Computer Science, Engineering, or Math
• Preferred experience with modern application development on a recent tech stack (e.g., Python/FastAPI or Node.js on the back end; React/TypeScript on the front end); experience with enterprise stacks such as Java/Spring Boot is a plus
• Preferred familiarity with modern data stack tooling (e.g., dbt, Airflow/Dagster) and DataOps practices
• Preferred familiarity with GCP cloud services (BigQuery, Dataform, GCE)
• Preferred familiarity with AWS cloud services (EKS, EC2, RDS, S3, CloudFront, IAM, CloudWatch)
• Preferred familiarity with infrastructure as code (Terraform), GitOps (ArgoCD), container orchestration (Docker/Kubernetes), and CI/CD pipelines (GitLab CI/CD, GitHub Actions)

The people of Aramark proudly serve millions of guests every day through food and facilities in 15 countries around the world. Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet. We believe a career should develop your talents, fuel your passions, and empower your professional growth. So, no matter what youre pursuing - a new challenge, a sense of belonging, or just a great place to work - our focus is helping you reach your full potential. Learn more about working here at http://www.aramarkcareers.com or connect with us on Facebook, Instagram and Twitter.