高级软件工程师 I - 数据与算法工程
Senior Software Engineer I - Data & Algorithm Engineering
作为Aledade的高级软件工程师I，我们维护、改进并扩展我们的数据模型和Databricks流水线。我们寻找懂得编写新代码并不总是解决问题的最佳方案的工程师，但当需要技术变更时，他们能为我们在医疗行业这一领域面临的复杂且独特的问题创建安全、可维护、高性能、正确、可扩展且稳定的解决方案。
患者领域团队负责将复杂的医疗数据转化为关于患者的明确定义的洞察，描述患者是谁以及他们如何与医疗系统互动。我们负责向我们的合作医疗机构提供更多的患者信息，并确保他们获得所需的护理。我们还负责找出如何监控和观察我们的模型运行，以确保它们在整个公司中产生影响。
主要职责：
- 开发和实现可扩展且高性能的解决方案。
- 作为同行，与工程经理、产品经理和Aledade内部的利益相关者合作，使用敏捷流程制定和执行技术路线图。
- 指导和培养更初级的工程师，包括对其他开发人员的代码审查，并接受对他人的工作提出批评性反馈。
最低资格要求：
- 计算机科学、工程或相关领域的学士/学士以上学位。
- 在大型多表数据集上使用SQL或其他数据库查询语言有3年以上经验。
- 作为工程师在跨职能团队中构建后端应用程序有4年以上经验。
- 在团队环境中担任可信的技术决策者，解决短期和长期业务价值问题有2年以上经验。
- 有2年以上指导其他工程师的经验。
优先考虑的技能和经验：
- 在数据工程方面有2年以上丰富经验，特别是在Databricks以及任何数据仓库如Snowflake、BigQuery、Redshift。
- 有3年以上使用后端语言如Python、Java、Node.js等的经验。
- 有设计、构建和优化数据流水线和ETL流程的经验。
- 熟悉处理大数据集和了解数据存储技术。
- 有使用数据摄入系统并优化大规模数据处理和分析性能的经验。
- 对数据库系统有深入的理解。
- 有对数据系统和基础设施进行性能监控和优化的经验。
查看英文原文
As a Senior Software Engineer I at Aledade, we maintain, improve, and expand our data models and Databricks pipelines. We're looking for engineers who know that writing new code is not always the solution to a problem, but when technological changes are needed they create secure, maintainable, performant, correct, scalable, and stable solutions to the complex and unique challenges in our corner of the healthcare industry.
The Patient Domain Team is responsible for turning complex health care data into well-defined insights about our patients that describes who they are and how they interact with the health care system. We are responsible for telling our partner practices more about who their patients are and how to ensure they receive the care they need. We are also responsible for figuring out how to monitor and observe our models in action to ensure they are driving impact across the company.
Primary Duties:
- Develop and implement scalable and performant solutions.
- Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes.
- Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work.
Minimum Qualifications:
- BS/BTech (or higher) in Computer Science, Engineering or a related field.
- 3+ years of experience working with SQL or other database querying language on large multi-table data sets.
- 4+ years experience as an engineer building backend applications as part of a cross-functional team.
- 2+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.
- 2+ years of experience coaching other engineers.
Preferred KSAs:
- 2+ years of extensive Data Engineering Experience particularly in DataBricks and any Data Warehouses like Snowflake, BigQuery, Redshift.
- 3+ years of working in backend languages like Python, Java, Node.js etc.
- Experience in designing, building and optimizing data pipelines and ETL processes.
- Proficiency in working with large datasets and knowledge of data storage technologies.
- Experience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysis
- In-depth knowledge of database systems.
- Experience in performance monitoring and optimization of data systems and infrastructure.
- Experience building Data pipelines using Kafka or similar stack.
- Familiarity with database replication, sharding and other techniques for scalability and high availability of databases.
- Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
- Familiarity building continuous integration and continuous deployment(CI/CD) pipelines.
- Familiarity with security and systems that handle sensitive data.
Physical Requirements:
Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.