Senior Data Engineer, Kontakt.io

Healthcare Data & Pipelines

Salary not provided

SQL

AWS

GCP

Python

Kafka

Airflow

Excel

Terraform

Hadoop

Azure

Spark

Kinesis

Senior and Expert level

New York

1-5 days a week in office

Intelligent orchestration for healthcare operations

Job no longer available

Intelligent orchestration for healthcare operations

101-200 employees

B2BArtificial IntelligenceManufacturingDeep TechInternet of ThingsMachine LearningSaaSAutomation

Job no longer available

Salary not provided

SQL

AWS

GCP

Python

Kafka

Airflow

Excel

Terraform

Hadoop

Azure

Spark

Kinesis

Senior and Expert level

New York

1-5 days a week in office

101-200 employees

B2BArtificial IntelligenceManufacturingDeep TechInternet of ThingsMachine LearningSaaSAutomation

Company mission

To deliver operational predictability maximizing capacity, safety, and decision making to enhance care delivery for patients and caregivers.

Job

Company

Role

Who you are

If you have a passion for building modern, medallion architecture-based pipelines, and have experience with event-driven platforms, this role is for you
5+ years of experience in data engineering or software engineering, with a focus on Big Data or real-time pipelines
Understanding of EHR workflows, HL7, FHIR standards, and integration with major vendors like EPIC, Cerner, or Meditech
Proficiency in SQL and Python, with experience in frameworks such as Apache Spark, Databricks, or Hadoop
Hands-on experience with event-driven systems like Kafka or Kinesis, and expertise in medallion architecture for data transformations
Strong knowledge of ACID transaction principles and their application in data engineering workflows
Familiarity with cloud platforms (AWS, Azure, or GCP), and orchestration tools such as Airflow or Step Functions
Strong problem-solving skills, attention to detail, and excellent communication abilities
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field

Desirable

Experience implementing real-time streaming analytics or IoT solutions in healthcare settings
Familiarity with infrastructure-as-code tools like Terraform or CloudFormation
Knowledge of data governance frameworks, metadata management, and lineage tracking
Previous leadership experience in defining and executing data engineering roadmaps or managing teams

What the job involves

As a Senior Data Engineer, you will focus on designing, implementing, and maintaining data pipelines that serve as the foundation for advanced analytics and machine learning initiatives
You’ll collaborate closely with data scientists, software engineers, product managers, and hospital IT staff to ensure that healthcare data—ranging from real-time event streams to batch-processed clinical records—flows seamlessly through our systems in a secure, efficient, and ACID-compliant manner
Design and implement robust data pipelines (batch and streaming) to ingest and process healthcare data from diverse EHR systems and data sources, ensuring data reliability and correctness
Excel in applying medallion architecture principles, developing scalable bronze, silver, and gold layers that support advanced analytics and machine learning
Thrive in building and managing event-driven architectures with tools like Kafka or Kinesis, enabling real-time data processing for clinical and operational applications
Collaborate closely with healthcare IT teams and third-party vendors (e.g., EPIC, Cerner, Meditech) to integrate, normalize, and secure data from EHRs, HL7, and FHIR standards
Are committed to optimizing data pipeline performance for throughput, latency, and cost-effectiveness using best practices for scaling, partitioning, and caching
Prioritize compliance with HIPAA, HITECH, and other regulations, implementing strong encryption, access controls, and patient privacy measures
Actively partner with data scientists, analysts, and developers to design data models and interfaces that meet diverse project requirements
Guide and mentor junior engineers, sharing your expertise in data engineering, cloud architecture, containerization, and orchestration tools

Our take

Many organizations, especially hospitals, are under pressure to do more with less. They need to reduce waste, move faster, and make better decisions in real time. So, technologies like IoT, location tracking, and AI are becoming essential because they help teams understand what's actually happening inside buildings instead of relying on assumptions.

Kontakt.io is a technology company helping organizations track people, equipment, and spaces in real time. Using small Bluetooth devices and cloud software, it shows where things are, how they move, and how spaces are used. In healthcare, this can mean finding critical equipment faster, understanding patient flow, and improving the day-to-day operations without adding any more manual work.

The company stands out by turning location data into clear insights using AI, not just basic tracking. And its tools are designed to scale easily and fit into complex environments like hospitals. With strong investor backing and a focus on automation and predictive insights, the company is in a good position for growth as more organizations are looking for smarter, data-driven ways to run their operations.

Steph

Company Specialist at Welcome to the Jungle

Insights

8% employee growth in 12 months

Glassdoor (4.4)

Company

Company HQ

Chelsea, New York, NY

Leadership

Philipp von Gilsa

(Founder & CEO)

Prior to Kontakt.io, Philipp worked in Special Projects at Jumia Group and co-founded zweitausendvier where he served as the Head of Sales for 4 years.

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