Principal AWS Cloud Data Engineer (MongoDB, DynamoDB, S3)

• Posted 60+ days ago • Updated 6 days ago
Contract W2
Contract Corp To Corp
Travel Required
Fitment

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Job Details

Skills

  • aws
  • S3
  • DynamoDB
  • MongoDB
  • Principal Data Engineer

Summary

Webilent is a leading business technology solutions company. We specialize is providing turn-key project execution as well as employee augmentation services. We strive to be the IT partner of choice for every client we serve. We value the role every individual plays in helping our clients meet their end-goal objectives while maintaining the highest level of commitment to our core values: integrity, expertise and service excellence. We give clients the freedom to reach their goals through a variety of services that include software development, project management and on-going maintenance.

We are looking for a Principal Data Engineer with expert-level experience in AWS-native data platforms and NoSQL technologies. You'll work on ingesting, storing, and optimizing data pipelines across MongoDB, DynamoDB, and Amazon S3-supporting large-scale enterprise data workloads.

Responsibilities:

Design and implement data storage and processing strategies using MongoDB, DynamoDB, and S3.

Build data pipelines that support ingestion from streaming sources like Kafka and Kinesis.

Optimize data models for performance and scalability within distributed systems.

Define infrastructure using Terraform and manage deployments in AWS.

Ensure robust logging, monitoring, and alerting with CloudWatch, X-Ray, and Dynatrace.

Collaborate with architects, developers, and platform engineers to maintain high data quality and availability.

Required Skills:

MongoDB, DynamoDB, Amazon S3

Event streaming tools: Kafka, Kinesis

Lambda, Java/Spring Boot integration with NoSQL

Terraform and IaC best practices

Logging and monitoring with AWS CloudWatch and Dynatrace

Advanced technical expertise across cloud infrastructure, networking, and security

Strong understanding of access control and data lifecycle management

High-level critical thinking, problem-solving, and self-directed work style

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: 91005865
  • Position Id: 2025-71
  • Posted 30+ days ago
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