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# Data Engineer - AWS

- **Company:** Ecloud Labs
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Big Data, Computer Programming, Continuous Integration, Data Systems, Python (Programming Language), Data Streaming, Google Cloud, Large Language Models, Apache Spark, Containerization, Data Lakes, Kubernetes, Infrastructure Automation Frameworks, Apache Flink, Apache Kafka
- **Published:** August 4, 2026
- **Apply:** https://www.dice.com/job-detail/bbc9dd31-961f-4105-a0b0-ed379685988b

## About the Role

8+ years of experience in big data engineering

 - Strong experience with Kafka
 - Strong experience with Kubernetes
 - Experience with AWS, Azure, and Google Cloud Platform
 - Experience building data lakes or lakehouse platforms
 - Experience with data mesh concepts
 - Strong programming skills in Python, Scala, or Java
 - Experience with Spark, Flink, or Beam
 - Experience with Airflow or orchestration tools
 - Understanding of data modeling and governance
 - Experience with CICD and infrastructure automation
 - Experience supporting AI and machine learning workloads including large language
models such as Claude or similar platforms

 - Strong communication and leadership skills

## Description

Design and implementation of scalable big data pipelines for batch and real time
processing

 - Build and operate streaming data platforms using Kafka
 - Design and deploy cloud native data solutions across AWS
 - Develop and manage containerized workloads using Kubernetes
 - Enable data mesh architecture with domain oriented data products
 - Design and implement data lake and lakehouse architectures
 - Ensure data quality, reliability, and observability
 - Implement governance capabilities including metadata and lineage

 - Collaborate with analytics, AI, and business teams
 - Optimize performance and cost efficiency
 - Mentor engineering teams


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