Senior Data Engineer - Remote

Overview

At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems.

In Short

• Design, develop, and maintain scalable data extraction frameworks.
• Build and optimize ETL/ELT pipelines using big data technologies.
• Improve data processing systems for efficiency and reliability.
• Transform and clean complex datasets for downstream use.
• Partner with senior engineers to evolve data architecture.
• Lead data integration efforts across multiple systems.
• Monitor and troubleshoot data flows and pipelines.
• Maintain clear documentation of systems and processes.
• Participate in code reviews and promote engineering excellence.
• Collaborate with cross-functional teams to align technical execution with business goals.

Requirements

• 6+ years of experience in data engineering.
• Proficiency in programming languages like Python or Java.
• Strong SQL skills for optimized complex queries.
• Experience with big data tools like Apache Spark.
• Familiarity with Docker or containerization technologies.
• Understanding of Large Language Models and NLP.
• Basic knowledge of network and security protocols.
• Strong analytical and problem-solving skills.
• Passion for writing clean, efficient code.
• Ability to communicate effectively with stakeholders.

Benefits

• Opportunity to work on complex problems in healthcare.
• Collaborative work environment.
• Mentorship opportunities.
• Impactful work that contributes to health equity.