Remote Data Platform Engineer

Description:

• Kontakt.io is building a platform that care operations run on, aiming to reduce waste, cut costs, and improve revenue by enhancing asset utilization and staff productivity.
• The platform utilizes AI, RTLS, and EHR data to enable self-learning agents to automate workflows, adapt in real-time, and orchestrate care delivery operations.
• As a Data Platform Engineer, you will design, build, and maintain scalable, high-performance data infrastructure.
• You will work with cutting-edge cloud and data technologies to enable real-time analytics, data ingestion, and machine learning applications.
• Your contributions will facilitate AI-powered automation, helping hospitals and healthcare facilities improve efficiency, reduce costs, and deliver better, faster care.

Requirements:

• You must have 5+ years of experience as a Data Engineer, Data Platform Engineer, or in a related role.
• Proficiency in Python, Scala, or Java for data processing and automation is required.
• Hands-on experience with big data frameworks like Apache Spark is necessary.
• You should have experience with streaming and batch processing using Kafka.
• Strong knowledge of cloud platforms, specifically AWS, and their data processing services is essential.
• Expertise in TimeScale is required.
• Familiarity with containerization and orchestration tools such as Docker, Kubernetes, and Terraform is expected.
• Previous experience in healthcare, hospital operations, or real-time systems is a bonus.
• Experience working with EHR systems like Epic, Cerner, or Meditech is also a bonus.

Benefits:

• You will have the opportunity to work with cutting-edge technologies in a rapidly evolving field.
• The role allows you to contribute to meaningful projects that improve healthcare delivery and patient experiences.
• You will be part of a team that values innovation and collaboration in transforming care operations.
• The position offers flexibility with remote work options across the United States.
• You will be involved in architectural decisions that enhance system scalability, resiliency, and efficiency.