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LeadFull-timePythonJavaRustAWSKubernetesDockerTerraformMachine LearningAI
Salary Range
$153,000 - $207,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Platform Leader to join Kontakt.io, a company building platforms that care operations run on. This role focuses on designing, building, and maintaining scalable, high-performance data infrastructure to enable real-time analytics, data ingestion, and machine learning applications.
Key Responsibilities
- →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.
- →Partner with software engineers and cloud teams to maintain a highly available data platform.
- →Work closely with third-party vendors 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.
Requirements
- ✓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).
- ✓Experience working with EHR systems (Epic, Cerner, Meditech).
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