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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Aramark - **Location:** Philadelphia, PA, United States - **Experience:** Expert - **Salary:** $100,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Engineering, Code Review, Continuous Integration, Data Architecture, Information Engineering, Data Transformation, Data Warehousing, Distributed Computing Environment, Github, Python (Programming Language), Cloud Services, DataOps, Search Technologies, Software Engineering, Data Streaming, Cloud Platform System, Sql Optimization, Large Language Models, Snowflake, Apache Spark, Information Technology, Google Cloud Functions, Terraform, Data Pipelines, Databricks - **Published:** August 10, 2026 - **Apply:** https://www.dice.com/job-detail/a66016cc-c9c4-4ab3-82eb-c69c4497d96b ## About the Role 5-7years of software development experience in the data domain, with hands-onproficiencyacross: * Python * Advanced SQL * Azure and/or AWS * 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) * Data modeling and transformation frameworks (dbt or equivalent) * Data warehousing platforms such as Snowflake, Databricks, or equivalent * Experience with Apache Spark, real-time streaming technologies, or large-scale distributed data processing. * CI/CD pipelines and Infrastructure as Code (e.g., Terraform, GitHub Actions) Experience designing, building, and operating production-grade data pipelines and data products at scale. Strong understanding of data architecture, observability, testing, and engineering best practices. You?re 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. Preferred Qualifications * Experience with GenAI integration, LLM-enabled applications, vector search, or agentic workflows. * Prior experience in food service, hospitality, retail, or consumer-facing industries. #LIHybrid ## 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., * You will be directly writing, reviewing, and owning code, not delegating it. This role requires deep technical execution. * Design and ship high-performance, cloud-native data product components used across Aramark\'s enterprise and line-of-business teams. * Build and own 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. * Design and operate highly reliable data pipelines with appropriate monitoring, observability, testing, and recovery mechanisms. * Architect and maintain integration and synchronization between source systems (on-premises and SaaS) and cloud-native platforms. * Develop scalable, well-modeled data transformation pipelines (dbt) that unlock analytical and AI-driven capabilities. * Establish and enforce data engineering best practices ? including CI/CD for data, testing standards, and code review norms ? across the team. * Contribute meaningfully to the strategic direction of our data engineering roadmap. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)