软件工程师 - II
Software Engineer - II
在H1，我们相信获取最好的医疗信息是一种基本人权。我们的使命是打造一个平台，能够在全球范围内为每位医生的诊疗提供最佳的信息支持。这有助于促进医疗公平，并建立对医疗系统的信任。为了实现这一目标，我们的团队利用数据和人工智能技术，解锁突破性的医学见解，并将这些见解转化为能带来最佳患者结果的行动，从而加速公平且包容的药物研发生命周期。访问了解更多关于我们的情况。
作为 Insights Engineering 团队的软件工程师，你将在构建可扩展的数据管道和增强工作流方面发挥关键作用，将原始客户数据转化为准确、可操作的见解。在较少指导的情况下，你将专注于数据摄入和增强，确保来自不同来源（CSV、Parquet、JSON、API）的客户数据无缝集成，同时解决与可扩展性、数据质量和标准化相关的问题。
你在H1的工作内容包括：
你将与包括数据工程师、产品经理和业务利益相关者的多学科团队合作，收集资料并理解用户需求。你的贡献对于提供符合我们产品目标和具体用户需求的最优解决方案至关重要，同时确保按时交付。
你将：
- 构建和维护支持团队增强工作流的可扩展且可靠的数据显示管道。
- 将核心平台的增强数据整合到更广泛的数据系统中，应用必要的转换并符合业务需求。
- 参与代码审查，保持高质量标准并符合组织的工程规范。
- 遵循开发流程，包括编码、测试、部署和监控，以确保质量和效率。
- 与团队成员协作，在遇到挑战时适当上报问题。
- 在任务理解和执行中做出贡献，重点关注准确性、可扩展性和性能。
关于你
你具备扎实的数据工程技术和经验，有构建和维护可扩展数据系统和管道的记录。你在解决数据工程挑战和推动创新解决方案方面表现出色。
- 具有开发和优化数据工作流的经验，应用业务逻辑进行数据增强，并解决技术挑战。
查看英文原文
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. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle. Visit to learn more about us.
As a Software Engineer on the Insights Engineering team, you will play a key role in building scalable data pipelines and enrichment workflows that transform raw client data into accurate, actionable insights. With minimal guidance, you will focus on data ingestion and enrichment, ensuring seamless integration of client data from diverse sources (CSV, Parquet, JSON, APIs) while tackling challenges related to scalability, data quality, and standardization.
WHAT YOU'LL DO AT H1
You will collaborate with a multidisciplinary team including, data engineers, product managers, and business stakeholders, to gather materials and understand user needs. Your contributions will be crucial in providing optimal solutions that align with both our product goals and specific user needs, all while ensuring timely delivery.
You will:
- Build and maintain scalable and reliable data pipelines that support the team’s enrichment workflows.
- Integrate enriched data from core platforms into broader data systems, applying necessary transformations and aligning with business requirements.
- Contribute to code reviews, holding a high bar for quality and aligning with organizational engineering guidelines.
- Follow development workflows, including coding, testing, deployment, and monitoring, to ensure quality and efficiency.
- Work collaboratively with team members and escalate issues appropriately when challenges arise.
- Contribute to the understanding and execution of tasks with a strong focus on accuracy, scalability, and performance.
ABOUT YOU
You have strong hands-on technical skills and experience in data engineering, with a track record of building and maintaining scalable data systems and pipelines. You excel at solving data engineering challenges and contributing to innovative solutions.
- Experience developing and optimizing data workflows, applying business logic for data enrichment, and addressing technical challenges with creative solutions
- Strong knowledge of building and scaling data infrastructure, including integration with core platforms
- Experience working with data quality challenges and implementing validation mechanisms
- Self-motivated with the ability to manage tasks and collaborate effectively within a team
- Ability to align work with broader organizational goals and contribute to strategic initiatives
- Proactively identifies potential risks and helps implement solutions early in the project lifecycle
- Eager to learn, grow, and contribute to a collaborative, high-performing engineering team
REQUIREMENTS
- 4- 6 years of experience in data engineering, specializing in building scalable data pipelines and enrichment processes, with a track record of working with large datasets, including ingestion, transformation, and optimization
- Proficiency in Spark, Python, and SQL for building scalable data processing pipelines
- Hands-on experience with Kubernetes for container orchestration and deployment
- Hands - on experience with Elasticsearch
- Strong background in AWS, including services such as S3, Lambda, ECS, and RDS for data infrastructure
- Experience with AWS EMR and Databricks to optimize large-scale data workflows
Not meeting all the requirements but still feel like you’d be a great fit? Tell us how you can contribute to our team in a cover letter!
H1 OFFERS
- Full suite of health insurance options, in addition to generous paid time off
- Pre-planned company-wide wellness holidays
- Retirement options
- Health & charitable donation stipends
- Impactful Business Resource Groups
- Flexible work hours & the opportunity to work from anywhere
- The opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe
Originally posted on Himalayas