

NextGen | GTA: A Kelly Telecom Company
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer/Java Developer with 8+ years of experience, focusing on AWS, Java, Spring Boot, and ETL development. It is a long-term remote contract, requiring an in-person interview in Philadelphia, PA.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
600
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🗓️ - Date
August 1, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Philadelphia, PA
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🧠 - Skills detailed
#SaaS (Software as a Service) #Storage #Databricks #Web Services #Microservices #DynamoDB #DevOps #SQL (Structured Query Language) #Scala #Programming #PySpark #Computer Science #Continuous Deployment #Lambda (AWS Lambda) #Apache Kafka #Spark SQL #Cloud #Security #SQS (Simple Queue Service) #"ETL (Extract #Transform #Load)" #API (Application Programming Interface) #Amazon EMR (Amazon Elastic MapReduce) #GIT #Amazon RDS (Amazon Relational Database Service) #Agile #Data Pipeline #RDS (Amazon Relational Database Service) #S3 (Amazon Simple Storage Service) #Code Reviews #Snowflake #EC2 #Java #Libraries #AWS Lambda #Deployment #Spring Boot #Data Engineering #AWS (Amazon Web Services) #Golang #Kafka (Apache Kafka) #Python #Spark (Apache Spark)
Role description
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 Responsibilitie
• sDesign, 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 Skill
• sExperience: 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 Skill
• sDatabricks, Snowflake, Apache Kafka, Golang, Node.js, SaaS (Software as a Service), PaaS (Platform as a Service), Advertising Technology (AdTech) experience
.Educatio
• nBachelor's degree in Computer Science, Engineering, or a related field
• .Master's degree preferred
.Interview Proces
• sInitial 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 Responsibilitie
• sDesign, 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 Skill
• sExperience: 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 Skill
• sDatabricks, Snowflake, Apache Kafka, Golang, Node.js, SaaS (Software as a Service), PaaS (Platform as a Service), Advertising Technology (AdTech) experience
.Educatio
• nBachelor's degree in Computer Science, Engineering, or a related field
• .Master's degree preferred
.Interview Proces
• sInitial virtual technical screening
• .Final in-person technical interview in Philadelphia, PA., including live coding in Java, Python, PySpark, SQL, and Data Engineering concepts
.





