Senior Backend Software Engineer

H1 is a company dedicated to improving healthcare access and equity through data and AI technology. They are seeking a Senior Backend Software Engineer to design and scale systems for their data platform, collaborating with cross-functional teams to deliver high-performance data solutions.

Responsibilities:

• Work on developing strategies and frameworks to capture web data at scale
• Design, develop, and maintain scalable data extraction frameworks that ingest structured and unstructured data from diverse sources
• Build and optimize robust ETL/ELT pipelines using big data technologies, especially Apache Spark on cloud platforms (preferably AWS EMR)
• Improve the efficiency, reliability, and performance of data processing systems through thoughtful design and continuous optimization
• Transform, clean, and normalize complex datasets for downstream use, ensuring high standards of data quality and consistency
• Partner with senior engineers to evolve H1’s data architecture and infrastructure in support of product and platform scalability
• Lead data integration efforts across multiple systems, ensuring accuracy and seamless collaboration across teams
• Monitor and troubleshoot data flows and pipelines, proactively identifying and resolving performance issues
• Maintain clear documentation of systems, workflows, and processes to promote transparency and operational excellence
• Participate in code reviews and promote a culture of engineering excellence, mentorship, and continuous improvement
• Collaborate closely with cross-functional teams to align technical execution with business goals

Requirements:

• 5+ years professional experience in data engineering or software engineering, working with large-scale data systems and pipelines
• Strong proficiency in Python
• Proficiency in web scraping strategies and technologies: curl, network analysis, proxies and selenium/playwright
• Strong SQL skills and experience with PostgreSQL
• Experience with big data tools like Apache Spark, particularly on cloud platforms, with a preference for AWS EMR
• Experience with Docker or other containerization technologies
• Understanding of Large Language Models (LLMs) and their applications
• Familiarity with model training and fine-tuning, particularly in NLP (Natural Language Processing) contexts
• Basic knowledge of network, security, and encryption protocols such as HTTP/HTTPS/TLS
• Strong analytical and problem-solving skills with a focus on data quality and performance optimization
• Passion for writing clean, efficient code and following best practices