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Data Platform Engneer

fully flexible
Remote: 
Full Remote
Work from: 
United States

Offer summary

Qualifications:

5+ years experience in data engineering, Proficiency in Python, Scala, or Java, Hands-on experience with big data frameworks, Strong knowledge of cloud platforms like AWS.

Key responsabilities:

  • Design and build scalable data pipelines
  • Implement real-time event processing architectures

Kontakt.io logo
Kontakt.io Information Technology & Services SME https://kontakt.io/
51 - 200 Employees
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.
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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 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)

    • Required profile

    Experience

    Industry :
    Information Technology & Services
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Hard Skills

    Computer SystemsData ArchitectureData LakesKubernetesPython (Programming Language)Apache SparkApache KafkaAmazon Web ServicesScala (Programming Language)Docker (Software)Java (Programming Language)TerraformHospital ExperienceCerner EHR

    Other Skills

    • Collaboration
    • Problem Solving
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