Senior Data Engineer, Kontakt.io

• 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

• 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