Description:

Kontakt.io is building a platform that enhances care operations by reducing waste, cutting costs, and improving revenue through better asset utilization and staff productivity.
The platform utilizes AI, RTLS, and EHR data to create self-learning agents that 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 advanced 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 and deliver better, faster care.
The role involves designing and building scalable data pipelines for processing RTLS, IoT, and EHR data, implementing real-time event processing architectures using Kafka, and optimizing ETL/ELT processes.
You will develop and maintain data lakes and warehouses for analytics and machine learning, ensuring compliance with HIPAA and healthcare standards.

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 essential.
You should have experience with streaming and batch processing using Kafka.
Strong knowledge of cloud platforms, particularly AWS, and their data processing services is necessary.
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 plus.

You will have the opportunity to work with cutting-edge technologies in a dynamic and innovative environment.
The role offers the chance to make a significant impact on healthcare delivery and patient experience.
You will be part of a team that values collaboration and continuous improvement.
The position allows for remote work, providing flexibility in your work environment.
You will be involved in architectural decisions that enhance system scalability and efficiency.