Pay
Lower than most similar jobs
$100K–$130K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Data Engineer
Philadelphia, PA, US, 19103
Live, first seen by us 41 days ago- Pay
$100,000–130,000/yearAnnual period assumed — pay source
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
Read the full posting- Work setting
Hybrid — work setting source
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. Job Responsibilities
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingDesign and ship cloud-native data product components used across the enterprise
Build and own reusable ingestion frameworks and data products with dbt, Logic Apps, Function Apps, and Snowflake
Operate reliable data pipelines with monitoring, testing, and recovery
Build and maintain integration between on-premises and SaaS source systems and cloud platforms
Establish CI/CD, testing standards, and code review norms for the data team
From the employer’s posting
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)
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.
Establish and enforce data engineering best practices — including CI/CD for data, testing standards, and code review norms — across the team.
What you’ll bring
All qualificationsCore experience
- 5-7 years of software development experience in the data domain, with hands-on proficiency across:
- Data modeling and transformation frameworks (dbt or equivalent)
- Experience with Apache Spark, real-time streaming technologies, or large-scale distributed data processing.
- 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.
Preferred experience
- Experience with GenAI integration, LLM-enabled applications, vector search, or agentic workflows.
- Prior experience in food service, hospitality, retail, or consumer-facing industries.
Qualification wording
5-7 years of software development experience in the data domain, with hands-on proficiency across:
Data modeling and transformation frameworks (dbt or equivalent)
Experience with Apache Spark, real-time streaming technologies, or large-scale distributed data processing.
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.
Experience with GenAI integration, LLM-enabled applications, vector search, or agentic workflows.
Prior experience in food service, hospitality, retail, or consumer-facing industries.
Benefits in the posting
Full benefits wording- 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
From the employer’s posting.
About Aramark
Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 25, 202641 days ago
- Recorded sightings
- 208
- Last seen by us
- Nov 5, 2026
- Reposted
- once since Aug 12, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Time since we first saw it
Day 41
Similar jobs usually come down between day 6 and day 54.
Well past Aramark’s usual: its jobs come down by about day 9.
From 11,224 similar postings that came down, and 21 of Aramark’s. Coming down is not always a hire.
Aramark is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down quickly
- 17% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- Databricks
- dbt
- Snowflake
- Spark
- Terraform
Where the posting names them
5-7 years of software development experience in the data domain, with hands-on proficiency across: - Python - Advanced SQL
- Python - Advanced SQL - Azure and/or AWS
- 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)
- 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.
- 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 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.
- 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.
- 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
- 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 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.
Your next step
Complete your application on aramarkcareers.com. The employer’s form will show what is required.
Applying through SAP SuccessFactors
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Already applied? Track this application
Has Aramark posted this job before?
Yes. We’ve followed one other Data Engineer job there since August 2026. It is still up.
About Aramark
- People
- About 278,390 in 2025, up 4% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as ARMK.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Job 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.
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.
Job 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.
#LIHybrid
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
About Aramark
Our Mission
Rooted 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 Aramark
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 you're 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.
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- Location & working pattern
Philadelphia, PA, US, 19103
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. Job Responsibilities
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.