Key Facts

Remote From:

Full time

Senior (5-10 years)

Hard Skills

Java (Programming Language) Data Engineering Apache Spark Python (Programming Language) Kubernetes Cloud Computing Apache Kafka AWS Cloud Services Terraform Computer Systems Docker (Software) Data Warehouse Architectures ETL (Extract Transform Load) Data Lakes Health Care Industry Cerner EHR

Other Skills

•
Mentorship
•
Leadership

Roles & Responsibilities

5+ years of experience as a Data Engineer, Data Platform Engineer, or related role
Proficiency in Python and 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)

Requirements:

Design and build scalable data pipelines 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
Partner with software engineers and cloud teams to maintain a highly available data platform
Work with third-party vendors to integrate, standardize, and secure data from EHRs
Ensure HIPAA and healthcare compliance standards
Optimize query performance, indexing, and partitioning for large-scale data processing

Kontakt.io

Information Technology & Services

About Kontakt.io

Kontakt.io is the industry leader in indoor environmental, location and occupancy services using Bluetooth Low Energy (BLE ®). Our mission is to deliver human-building interfaces that provide people with delightful, useful, and safe indoor experiences to help make buildings work for people. We are out to define a new building DNA that is human-centric. We build technologies that help transform buildings into indoor spaces that are useful for people in their daily journey to accomplish their goals, working or being cared for in a safe & sustainable indoor environment. We started in 2013 when Kontakt.io built the first enterprise-graded BLE beacon solution for building-mobile interfaces. Since then, we have provided BLE solutions to over 30,000 end-users, delivered via +1,100 partners using +3 million IoT devices in the field. Today our solutions cover approximately one billion sq ft. We continue to be a pioneer in the field, with a focus on Smart Buildings in Healthcare and Corporate Real Estate Spaces.

Company type: SME

Industry: Information Technology & Services

Founded: 2018

Company size: 51 - 200

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Job description

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 Leader, 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

Lead the team in designing and building 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

A mature leadership approach, with the ability to drive technical strategy while growing and mentoring a high-performance Data Platform Engineering team.

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

Proficiency in Python and 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)

Ready to Build the Future of Healthcare?

Apply now and help to build the platform that care operations run on. 🚀