Overview:
We are looking for a Data Engineer with a strong focus on real-time data streaming and analytics. This role supports the development of low-latency data systems that power real-time decision-making.
Responsibilities:
- Design and maintain real-time data processing systems
- Develop and manage Kafka streaming pipelines and Flink/Spark Streaming jobs
- Implement monitoring and alerting for data quality and pipeline performance
- Work with DevOps to deploy scalable, reliable systems
Requirements:
- Strong programming skills in Scala, Java, or Python
- 2+ years of experience working with Kafka, Flink, or similar streaming platforms
- Experience with real-time analytics in production environments
- Solid understanding of event-driven architecture and messaging systems
Familiarity with Kubernetes, CI/CD, and cloud platforms
Job Category: Data Engineer
Job Type: Contract
Job Location: Denver
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Responsibilities:
- Design and maintain real-time data processing systems
- Develop and manage Kafka streaming pipelines and Flink/Spark Streaming jobs
- Implement monitoring and alerting for data quality and pipeline performance
- Work with DevOps to deploy scalable, reliable systems
Requirements:
- Strong programming skills in Scala, Java, or Python
- 2+ years of experience working with Kafka, Flink, or similar streaming platforms
- Experience with real-time analytics in production environments
- Solid understanding of event-driven architecture and messaging systems
Familiarity with Kubernetes, CI/CD, and cloud platforms
Job Category: Data Engineer
Job Type: Contract
Job Location: Denver
Responsibilities:
- Design and maintain real-time data processing systems
- Develop and manage Kafka streaming pipelines and Flink/Spark Streaming jobs
- Implement monitoring and alerting for data quality and pipeline performance
- Work with DevOps to deploy scalable, reliable systems
Requirements:
- Strong programming skills in Scala, Java, or Python
- 2+ years of experience working with Kafka, Flink, or similar streaming platforms
- Experience with real-time analytics in production environments
- Solid understanding of event-driven architecture and messaging systems
Familiarity with Kubernetes, CI/CD, and cloud platforms