Kontakt.io

Data Platform Engineer

Remote

Full Time

#Engineering

#Healthcare

#Data

#Data Pipelines

#Kafka

#ETL

#Data Lakes

#Data Warehouses

#Python

#Apache Spark

#Cloud Platforms

#Containerization

Kontakt.io is looking for a Data Platform Engineer

Full Time Senior Remote Engineering Healthcare Data Data Pipelines Kafka ETL Data Lakes Data Warehouses Python Apache Spark Cloud Platforms Containerization English Remote work

Kontakt.io is building the platform that care operations run on. We reduce waste, cut costs, and improve revenue by improving throughout asset utilization and staff productivity. Our platform uses AI, RTLS, and EHR data to enable self-learning agents to automate workflows, adapt in real-time, and orchestrate all of care delivery operations. Easy to deploy and scale, it gives a clear picture of spaces, equipment, and people, eliminating inefficiencies and enhancing the patient experience. With measurable 10X ROI and over 20+ use cases, Kontakt.io is the go-to platform for better and faster care delivery operations.

As a Data Platform Engineer, you will play a crucial role in designing, building, and maintaining 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 work will enable AI-powered automation, allowing hospitals and healthcare facilities to improve efficiency, reduce costs, and deliver better, faster care.

If you’re passionate about scalable data systems, AI-driven automation, and transforming care delivery operations, join Kontakt.io and help us redefine the future of healthcare!

Responsibilites

Design and build scalable data pipelines (batch & streaming) to process RTLS, IoT, and EHR data.

Implement real-time event processing architectures using Kafka.

Optimize ETL/ELT processes for efficient data ingestion, transformation, and storage.

Develop and maintain data lakes and warehouses for analytics and machine learning applications - create scalable data layers—bronze, silver, and gold—that facilitate advanced analytics and machine learning applications.

Partner with software engineers and cloud teams to maintain a highly available data platform.

Work closely with third-party vendors (e.g., EPIC, Cerner, Meditech) to integrate, standardize, and secure data from EHRs

Initiate and participate in architectural decisions to improve scalability, resiliency, and system efficiency.

Ensure HIPAA and healthcare compliance standards are met in data storage and transmission.

Optimize query performance, indexing, and partitioning for large-scale data processing.

Implement role-based access control (RBAC), encryption, and anonymization for sensitive healthcare data.

What You Bring

5+ years of experience as a Data Engineer, Data Platform Engineer, or related role.

Proficiency in Python, Scala, or Java for data processing and automation.

Hands-on experience with big data frameworks like Apache Spark

Experience with streaming and batch processing using Kafka

Strong knowledge of cloud platforms (AWS) and their data processing services.

Expertise in TimeScale

Familiarity with containerization and orchestration tools (Docker, Kubernetes, Terraform)

Bonus Skills

Previous experience in healthcare, hospital operations, or real-time systems.

Experience working with EHR systems (Epic, Cerner, Meditech)

Kontakt.io

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2 applied

Company Size

51-100

Markets

SaaS

Healthcare

IoT

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Data Platform Engineer at Kontakt.io