Fuullstack AWS Data Engineer

Jersey City, NJ, US • Posted 5 hours ago • Updated 5 hours ago
Contract W2
Contract Independent
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • AWS
  • ETL
  • SQL
  • NoSQL

Summary

Role: Senior Full-Stack AWS Data Engineer

Jersey City, NJ

12 Months Contract

 

Position Overview

We are looking for a versatile Data Engineer to design and scale our end-to-end data ecosystem. You will bridge the gap between raw data ingestion and user-facing applications—building robust pipelines in AWS, orchestrating containers on EKS, and developing sleek interfaces in React.

 Key Responsibilities

·       Data Orchestration: Build and maintain scalable ETL/ELT pipelines using AWS Lambda and S3 for event-driven processing.

·       Infrastructure & Deployment: Deploy and manage microservices on Amazon EKS (Kubernetes) to ensure high availability and scalability.

·       Full-Stack Development: Develop backend APIs using Node.js and high-performance frontends in React to visualize data insights.

·       Search & Analytics: Implement and optimize Amazon OpenSearch (formerly Elasticsearch) for real-time log analytics and complex data discovery.

·       Customer Engagement: Integrate AWS Pinpoint to trigger data-driven user communications and track engagement metrics.

·       Database Management: Architect and optimize relational schemas using SQL (RDS/PostgreSQL) for complex business logic.

 

Technical Toolkit

·       Cloud: AWS (S3, Lambda, Pinpoint, EKS).

·       Development: Node.js (Backend) & React (Frontend).

·       Data & Search: OpenSearch, SQL (PostgreSQL/MySQL).

·       3+ years in Data Engineering with a focus on AWS serverless and containerized environments..

·       Strong proficiency in SQL and experience with NoSQL/Search indexing.

·       Proven ability to build full-stack applications (Node/React) that interface with large datasets.

·       Experience with event-driven architectures and message-based systems.

·       Why this stack is unique:

·       EKS + OpenSearch: This combination implies you’ll be handling high-scale, searchable data, likely for logs or real-time product catalogs.

·       Pinpoint: This suggests the role has a "Growth Engineering" tilt—using data to drive marketing and user notifications.

·       React/Node: You aren''t just a "behind-the-scenes" engineer; you are building the actual tools the business uses to interact with the data.

 

Qualifications

·       Seniority: 3–6 years of hands-on experience in Full Stack Engineering, with at least 2 years focused on AWS-native architectures.

·       Production EKS: Proven experience deploying and maintaining production-grade applications on Amazon EKS (Kubernetes), including writing manifests and managing pod lifecycles.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10116820
  • Position Id: 8927001
  • Posted 5 hours ago
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