AWS Data Engineer

Overview

We are looking for a Data Engineer to design, build, and optimize scalable data platforms on AWS.

The ideal candidate has strong experience with Snowflake, Kafka, Mule Soft, and AWS-native analytics services, and can support both real-time and batch data processing while enabling reporting and advanced analytics.

Role: AWS Data Engineer

Location:

Plano, TX (Onsite from Day
1)

Job Type: Full Time

Experience

Required:

12+ years

Data science, Mule Soft, Kafka connect, SQL, Data visualization

• Design, develop, and maintain scalable data pipelines using AWS services
• Build and manage cloud-based data lakes on Amazon S3
• Implement and optimize Snowflake data models for reporting and analytics
• Develop real-time streaming solutions using Apache Kafka
• Integrate enterprise systems using Mule Soft APIs and connectors
• Deploy and manage containerized data workloads on AWS EKS
• Write and optimize complex queries using Amazon Athena

• AWS Cloud Services (S3, Athena, EKS, IAM, monitoring)
• Snowflake (data modeling, performance tuning, reporting)
• Apache Kafka (streaming, producers/consumers, real-time pipelines)
• Mule Soft (API-based integrations, enterprise data flows)
• Amazon EKS (container orchestration, deployment)
• Querying Tools:
  Amazon Athena
• Data Lakes: S3-based data lake architecture
• Reporting:
  Snowflake reporting layer
• Analytics & Visualization:
  Tableau