Data Engineer Jobs in Philadelphia, PA
Data Engineer jobs in Philadelphia are concentrated in Center City, University City, and the Navy Yard, driven by demand from healthcare systems, financial services firms, and life sciences companies, with Jacobs, City of Philadelphia, and City of Philadelphia, PA among those actively hiring. Demand is steady across pipeline engineering, cloud infrastructure, and analytics. Scan the live roles below and apply to whichever ones fit.
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Now Hiring: Senior Data Engineer / Java Developer (AWS, Spring Boot, Microservices)
Location: 100% Remote (U.S.) - Candidate must be able to attend the final in-person technical interview in Philadelphia, PA.
Contract: Long Term Contract
We are hiring an experienced Senior Data Engineer / Java Developer to support a large-scale cloud modernization and data transformation initiative. This role focuses on developing cloud-native applications, scalable ETL pipelines, and modern data platforms.
Key Responsibilities
- Design, develop, and maintain scalable ETL pipelines and cloud-based data solutions.
- Build cloud-native applications using Java, Spring Boot, and Microservices.
- Develop reusable frameworks and software libraries.
- Build and maintain GitOps and CI/CD pipelines.
- Collaborate with architects, product managers, and engineering teams.
- Improve application performance, scalability, security, and reliability.
- Participate in Agile software development, code reviews, and technical design discussions.
Required Skills
- Experience: 8+ years of Software Engineering or Data Engineering experience.
- Programming: Java (Java 8+), Python, PySpark, SQL.
- Frameworks & Architecture: Spring Boot, Microservices, Distributed Systems, Cloud-native Architecture.
- Data Engineering: ETL Development, Data Pipelines.
- AWS (Amazon Web Services): Amazon S3 (Simple Storage Service), Amazon EC2 (Elastic Compute Cloud), Amazon EMR (Elastic MapReduce), AWS Lambda, Amazon API Gateway, Amazon DynamoDB, Amazon RDS (Relational Database Service), Amazon SQS (Simple Queue Service), Amazon EventBridge.
- DevOps: Git, GitOps, CI/CD (Continuous Integration/Continuous Deployment).
Preferred Skills
- Databricks, Snowflake, Apache Kafka, Golang, Node.js, SaaS (Software as a Service), PaaS (Platform as a Service), Advertising Technology (AdTech) experience.
Education
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Master's degree preferred.
Interview Process
- Initial virtual technical screening.
- Final in-person technical interview in Philadelphia, PA, including live coding in Java, Python, PySpark, SQL, and Data Engineering concepts.
Now Hiring: Senior Data Engineer / Java Developer (AWS, Spring Boot, Microservices)
Location: 100% Remote (U.S.) - Candidate must be able to attend the final in-person technical interview in Philadelphia, PA.
Contract: Long Term Contract
We are hiring an experienced Senior Data Engineer / Java Developer to support a large-scale cloud modernization and data transformation initiative. This role focuses on developing cloud-native applications, scalable ETL pipelines, and modern data platforms.
Key Responsibilities
- Design, develop, and maintain scalable ETL pipelines and cloud-based data solutions.
- Build cloud-native applications using Java, Spring Boot, and Microservices.
- Develop reusable frameworks and software libraries.
- Build and maintain GitOps and CI/CD pipelines.
- Collaborate with architects, product managers, and engineering teams.
- Improve application performance, scalability, security, and reliability.
- Participate in Agile software development, code reviews, and technical design discussions.
Required Skills
- Experience: 8+ years of Software Engineering or Data Engineering experience.
- Programming: Java (Java 8+), Python, PySpark, SQL.
- Frameworks & Architecture: Spring Boot, Microservices, Distributed Systems, Cloud-native Architecture.
- Data Engineering: ETL Development, Data Pipelines.
- AWS (Amazon Web Services): Amazon S3 (Simple Storage Service), Amazon EC2 (Elastic Compute Cloud), Amazon EMR (Elastic MapReduce), AWS Lambda, Amazon API Gateway, Amazon DynamoDB, Amazon RDS (Relational Database Service), Amazon SQS (Simple Queue Service), Amazon EventBridge.
- DevOps: Git, GitOps, CI/CD (Continuous Integration/Continuous Deployment).
Preferred Skills
- Databricks, Snowflake, Apache Kafka, Golang, Node.js, SaaS (Software as a Service), PaaS (Platform as a Service), Advertising Technology (AdTech) experience.
Education
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Master's degree preferred.
Interview Process
- Initial virtual technical screening.
- Final in-person technical interview in Philadelphia, PA, including live coding in Java, Python, PySpark, SQL, and Data Engineering concepts.
See All 75 Data Engineer Jobs in Philadelphia
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Find Data Engineer JobsData Engineer Job Market in Philadelphia
Who's Hiring
- Jacobs10
- City of Philadelphia10
- City of Philadelphia, PA10
- Deloitte7
- PwC3
Top Industries Hiring
- Government & Public Sector16
- Technology & Software10
- Consulting & Professional Services7
- Insurance3
- Accounting & Auditing3
Data Engineer Jobs in Philadelphia: Frequently Asked Questions
How do I get a data engineer job in Philadelphia?
Focus your search on Philadelphia's three strongest hiring sectors: health systems and hospital networks, regional banks and insurance carriers, and life sciences companies clustered around University City and the Navy Yard. Candidates who demonstrate hands-on experience with cloud platforms, ETL pipeline development, and SQL stand out in this market. Networking through local tech meetups and Philadelphia-based data communities also gives you a concrete edge over remote applicants.
Which companies hire data engineers in Philadelphia?
Employers hiring data engineers in Philadelphia right now include Jacobs, City of Philadelphia, and City of Philadelphia, PA, based on current listings on Migrate Mate as of August 2026. Philadelphia's hiring pool is notably diverse, mixing large academic medical centers and health insurers with mid-size fintech firms and pharmaceutical companies that maintain regional engineering offices in and around the city.
Are there remote data engineer jobs in Philadelphia?
Yes, data engineering is among the more remote-friendly technical disciplines since the work centers on cloud systems, code, and data pipelines rather than physical infrastructure. About 65% of data engineer openings tied to Philadelphia are remote or hybrid as of August 2026, reflecting broad adoption across the sector. Cloud and analytics-focused roles tend to offer the most schedule flexibility, while roles tied to on-premise systems at health networks or regulated financial institutions lean toward on-site or hybrid arrangements.
How can I get a data engineer job in Philadelphia with little or no experience?
The most realistic entry path in Philadelphia is through a junior data analyst or associate data engineer role at one of the city's large health systems or insurance carriers, which frequently hire entry-level candidates into structured teams. Building a portfolio with public datasets and contributing to open-source projects helps offset limited professional history. Philadelphia's strong university presence also means research computing roles and university IT departments serve as accessible entry points that lead naturally into full data engineering positions.
Which industries hire the most data engineers in Philadelphia?
The sectors hiring the most data engineers in Philadelphia are Government & Public Sector, Technology & Software, and Consulting & Professional Services, based on current listings on Migrate Mate as of August 2026. Philadelphia's role as a major healthcare hub and its concentration of regional financial institutions create consistent, recurring demand for data engineers who can manage large regulated datasets and build compliant, scalable pipelines.
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