Ampstek
Data Engineer with PySpark & DPL
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with PySpark & DPL in Jersey City, NJ, offering an onsite contract. Key skills include Java, AWS, microservices, and Agile. Experience with DynamoDB, REST APIs, and CI/CD pipelines is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 10, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Jersey City, NJ
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🧠 - Skills detailed
#Agile #S3 (Amazon Simple Storage Service) #Spark (Apache Spark) #API (Application Programming Interface) #RDS (Amazon Relational Database Service) #Java #GitLab #DevOps #SQS (Simple Queue Service) #Jenkins #SNS (Simple Notification Service) #PySpark #Code Reviews #Data Engineering #Cloud #DynamoDB #Spring Boot #Lambda (AWS Lambda) #Observability #Scala #AWS (Amazon Web Services) #REST API #Microservices #REST (Representational State Transfer) #Monitoring
Role description
Role: Data Engineer with PySpark & DPL
Location: Jersey City, NJ Onsite
Job Description:
• Lead end-to-end technical delivery of cloud-native applications built on Java and AWS.
• Design and architect secure, scalable, and resilient systems using microservices and serverless patterns.
• Guide the team in implementing solutions using Java (Spring Boot, REST APIs) and AWS services (e.g., Lambda, API Gateway, DynamoDB, S3, ECS, RDS, SNS/SQS).
• Participate in code reviews, ensure high code quality, and enforce clean architecture and design principles.
• Collaborate with DevOps engineers to define CI/CD pipelines using tools such as Jenkins, GitLab, or AWS CodePipeline.
• Mentor and coach developers on both technical skills and Agile best practices.
• Translate business and technical requirements into system designs and implementation plans.
• Ensure performance tuning, scalability, monitoring, and observability of deployed services.
• Stay current with new AWS offerings and Java development trends to drive innovation.
Role: Data Engineer with PySpark & DPL
Location: Jersey City, NJ Onsite
Job Description:
• Lead end-to-end technical delivery of cloud-native applications built on Java and AWS.
• Design and architect secure, scalable, and resilient systems using microservices and serverless patterns.
• Guide the team in implementing solutions using Java (Spring Boot, REST APIs) and AWS services (e.g., Lambda, API Gateway, DynamoDB, S3, ECS, RDS, SNS/SQS).
• Participate in code reviews, ensure high code quality, and enforce clean architecture and design principles.
• Collaborate with DevOps engineers to define CI/CD pipelines using tools such as Jenkins, GitLab, or AWS CodePipeline.
• Mentor and coach developers on both technical skills and Agile best practices.
• Translate business and technical requirements into system designs and implementation plans.
• Ensure performance tuning, scalability, monitoring, and observability of deployed services.
• Stay current with new AWS offerings and Java development trends to drive innovation.
