Data Engineer
Aramark · Philadelphia, PA · 1 mo ago
On-siteInformation Technology$100k–$130k/yrFull-time
We need to output only HTML fragment, no markdown fences. Use for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to include sections only if posting has real specific content. We have:
- About the role: The first paragraph(s) describing vision and role: "Our vision is to enable profitable growth..." etc. That's about the role. So we can have
for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to include sections only if posting has real specific content. We have:
- About the role: The first paragraph(s) describing vision and role: "Our vision is to enable profitable growth..." etc. That's about the role. So we can have About the role
with
containing that description. - Responsibilities: There's a "Job Responsibilities" section with bullet points. Use
- .
- Qualifications: There's a "Qualifications" section with bullet points. Use
- . Also there is "Preferred Qualifications" maybe we can combine under Qualifications or separate? The instruction: Use headings for sections like Qualifications, Skills, Benefits, Pay, Schedule. We have Qualifications content. Preferred Qualifications could be part of Qualifications or maybe Skills? But we can include them under Qualifications as additional bullet points. Or we could have a separate "Skills" section for preferred qualifications? The instruction says prefer a few substantive sections over many thin ones. So we can combine qualifications and preferred qualifications under Qualifications.
- Benefits: There's a "Benefits" section with compensation and benefits description. Pay: The compensation is given: salary range $100,000-$130,000. So we need a Pay section with that. Benefits section can include other benefits: medical, dental, vision, work/life resources, retirement savings, paid days off, etc. Also note that benefits vary etc. We should include that.
- Schedule: There's mention: "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." That's schedule info (hybrid). So we can have Schedule section with that.
- Skills: Not explicitly listed separate; we could omit Skills section if no specific skills beyond qualifications. But we could put technical skills under Qualifications. Probably no separate Skills needed.
- About the role: Already.
We must not repeat job title as heading. No Job ID etc. Remove boilerplate: EEO, legal, application instructions, etc. Also remove duplicated lines, navigation, cookie, etc. Also remove "About Aramark" mission etc? That's boilerplate? It's about the company, not the role. The instruction: Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The "About Aramark" sections are likely boilerplate; we should remove them. Also the "About Aramark Our Mission" repeated. So we exclude those.
We must preserve all substantive information: vision, role description, responsibilities, qualifications, benefits, pay, schedule.
We must not invent or summarize away detail. So we need to keep the exact details? We can rephrase but must preserve substance. Safer to keep the sentences as is, maybe slight editing for HTML.
Let's extract:
Vision paragraph: "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 Data Engineer who will work hands-on and collaboratively with our enterprise and line of business stakeholders to continue the evolution of our enterprise data platform and application stack. The successful candidate will design, build, and deliver cloud-native, service-oriented products that transform our data ingestion, processing, and analytics and AI-driven capabilities. 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."
That's the about the role.
Responsibilities bullet points:
- 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.
Note there are some odd characters like ?. We'll keep as is.
Qualifications bullet points:
- 5-7 years of software development experience in the data domain, with hands-on proficiency across:
- 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 bullet points:
- Experience with GenAI integration, LLM-enabled applications, vector search, or agentic workflows.
- Prior experience in food service, hospitality, retail, or consumer-facing industries.
We can combine.
Benefits: The posting includes:
"Benefits COMPENSATION: The salary range for this position is $100,000.00-$130,000.00. If both numbers are the same, that is the amount that Aramark expects to offer. This is Aramark's good faith and reasonable estimate of the compensation for this position as of the time of posting. 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 about Aramark benefits, click here Aramark Careers - Benefits & Compensation. There is no predetermined application window for this position, the position will close once a qualified candidate is selected. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including, but not limited to, the Los Angeles County Fair Chance Ordinance for Employers, the California Fair Chance Act, and the San Francisco Fair Chance Ordinance to the extent that those laws apply to the opportunity"
We need to extract Pay and Benefits sections.
Pay: salary range $100,000-$130,000.
Benefits: medical, dental, vision, work/life resources, retirement savings plans like 401(k), paid days off such as parental leave and disability coverage. Also note that benefits vary etc. We can include that description.
Schedule: hybrid role based at Philadelphia headquarters, candidates must be local and willing to work onsite in hybrid capacity.
We should not include application instructions or EEO statements. The paragraph about qualified applicants with arrest or conviction records is EEO/legal; we should remove that. Also the "There is no predetermined application window..." is application instruction; remove.
Thus final HTML:
About the role
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 Data Engineer who will work hands-on and collaboratively with our enterprise and line of business stakeholders to continue the evolution of our enterprise data platform and application stack. The successful candidate will design, build, and deliver cloud-native, service-oriented products that transform our data ingestion, processing, and analytics and AI-driven capabilities. 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.
Responsibilities
- 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.
Qualifications
- 5-7 years of software development experience in the data domain, with hands-on proficiency across:
- 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.
Pay
The salary range for this position is $100,000.00‑$130,000.00.
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
- . Also there is "Preferred Qualifications" maybe we can combine under Qualifications or separate? The instruction: Use headings for sections like Qualifications, Skills, Benefits, Pay, Schedule. We have Qualifications content. Preferred Qualifications could be part of Qualifications or maybe Skills? But we can include them under Qualifications as additional bullet points. Or we could have a separate "Skills" section for preferred qualifications? The instruction says prefer a few substantive sections over many thin ones. So we can combine qualifications and preferred qualifications under Qualifications.
- Benefits: There's a "Benefits" section with compensation and benefits description. Pay: The compensation is given: salary range $100,000-$130,000. So we need a Pay section with that. Benefits section can include other benefits: medical, dental, vision, work/life resources, retirement savings, paid days off, etc. Also note that benefits vary etc. We should include that.
- Schedule: There's mention: "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." That's schedule info (hybrid). So we can have Schedule section with that.
- Skills: Not explicitly listed separate; we could omit Skills section if no specific skills beyond qualifications. But we could put technical skills under Qualifications. Probably no separate Skills needed.
- About the role: Already.
We must not repeat job title as heading. No Job ID etc. Remove boilerplate: EEO, legal, application instructions, etc. Also remove duplicated lines, navigation, cookie, etc. Also remove "About Aramark" mission etc? That's boilerplate? It's about the company, not the role. The instruction: Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The "About Aramark" sections are likely boilerplate; we should remove them. Also the "About Aramark Our Mission" repeated. So we exclude those.
We must preserve all substantive information: vision, role description, responsibilities, qualifications, benefits, pay, schedule.
We must not invent or summarize away detail. So we need to keep the exact details? We can rephrase but must preserve substance. Safer to keep the sentences as is, maybe slight editing for HTML.
Let's extract:
Vision paragraph: "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 Data Engineer who will work hands-on and collaboratively with our enterprise and line of business stakeholders to continue the evolution of our enterprise data platform and application stack. The successful candidate will design, build, and deliver cloud-native, service-oriented products that transform our data ingestion, processing, and analytics and AI-driven capabilities. 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."
That's the about the role.
Responsibilities bullet points:
- 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.
Note there are some odd characters like ?. We'll keep as is.
Qualifications bullet points:
- 5-7 years of software development experience in the data domain, with hands-on proficiency across:
- 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 bullet points:
- Experience with GenAI integration, LLM-enabled applications, vector search, or agentic workflows.
- Prior experience in food service, hospitality, retail, or consumer-facing industries.
We can combine.
Benefits: The posting includes:
"Benefits COMPENSATION: The salary range for this position is $100,000.00-$130,000.00. If both numbers are the same, that is the amount that Aramark expects to offer. This is Aramark's good faith and reasonable estimate of the compensation for this position as of the time of posting. 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 about Aramark benefits, click here Aramark Careers - Benefits & Compensation. There is no predetermined application window for this position, the position will close once a qualified candidate is selected. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including, but not limited to, the Los Angeles County Fair Chance Ordinance for Employers, the California Fair Chance Act, and the San Francisco Fair Chance Ordinance to the extent that those laws apply to the opportunity"
We need to extract Pay and Benefits sections.
Pay: salary range $100,000-$130,000.
Benefits: medical, dental, vision, work/life resources, retirement savings plans like 401(k), paid days off such as parental leave and disability coverage. Also note that benefits vary etc. We can include that description.
Schedule: hybrid role based at Philadelphia headquarters, candidates must be local and willing to work onsite in hybrid capacity.
We should not include application instructions or EEO statements. The paragraph about qualified applicants with arrest or conviction records is EEO/legal; we should remove that. Also the "There is no predetermined application window..." is application instruction; remove.
Thus final HTML: