Senior Real-Time Data Engineer

April 16

Unreal Staffing, Inc

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Description

• As a Senior Real-Time Data Engineer, you'll play a crucial role in designing, building, and optimizing our real-time data infrastructure. • You'll work on challenging projects, from architecting data streaming pipelines to developing real-time analytics systems, to support the needs of our data-driven organization. • Join a dynamic team shaping the future of real-time data engineering.

Requirements

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field. • 5+ years of experience in data engineering, with a focus on real-time data technologies. • Proficiency in real-time data streaming technologies such as Apache Kafka, Apache Flink, or Apache Spark Streaming. • Strong programming skills in languages such as Python, Java, or Scala, with experience in distributed computing frameworks. • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and services like AWS Kinesis, Azure Stream Analytics, or Google Cloud Dataflow. • Strong understanding of event-driven architecture and stream processing concepts, with experience building event-driven systems. • Strong problem-solving skills and analytical thinking, with the ability to design and troubleshoot complex real-time data solutions. • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.

Benefits

• Competitive salary: The industry standard salary for Senior Real-Time Data Engineers typically ranges from $170,000 to $230,000 per year, depending on experience and qualifications. • Comprehensive health, dental, and vision insurance plans. • Flexible work hours and remote work options. • Generous vacation and paid time off. • Professional development opportunities, including access to training programs, conferences, and workshops. • State-of-the-art technology environment with access to cutting-edge tools and resources. • Vibrant and inclusive company culture with opportunities for growth and advancement. • Exciting projects with real-world impact at the forefront of data-driven innovation.